<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Github-Stars on Noureddine RAMDI</title><link>https://ramdi.fr/tags/github-stars/</link><description>Recent content in Github-Stars on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/github-stars/index.xml" rel="self" type="application/rss+xml"/><item><title>3D-RE-GEN: reconstructing editable 3D indoor scenes from a single photo with multi-model AI orchestration</title><link>https://ramdi.fr/github-stars/3d-re-gen-reconstructing-editable-3d-indoor-scenes-from-a-single-photo-with-multi-model-ai-orchestration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/3d-re-gen-reconstructing-editable-3d-indoor-scenes-from-a-single-photo-with-multi-model-ai-orchestration/</guid><description>3D-RE-GEN reconstructs complete editable 3D indoor scenes from a single RGB photo. It integrates SAM, Hunyuan3D-2.0, and VGGT models in a modular Python pipeline.</description></item><item><title>A composable Python framework for crypto algorithmic trading with functional strategies</title><link>https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/</guid><description>Explore a Python framework for cryptocurrency algorithmic trading that uses composable boolean functions for strategy design, supporting live trading, simulation, and backtesting.</description></item><item><title>A comprehensive resource for frontend GIS development: Exploring joewdavies/awesome-frontend-gis</title><link>https://ramdi.fr/github-stars/a-comprehensive-resource-for-frontend-gis-development-exploring-joewdavies-awesome-frontend-gis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-comprehensive-resource-for-frontend-gis-development-exploring-joewdavies-awesome-frontend-gis/</guid><description>An extensive curated collection of frontend geospatial tools and libraries for browser-based GIS development, highlighting architectural tradeoffs and practical navigation tips.</description></item><item><title>A curated gateway to essential software engineering research papers</title><link>https://ramdi.fr/github-stars/a-curated-gateway-to-essential-software-engineering-research-papers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-gateway-to-essential-software-engineering-research-papers/</guid><description>Explore a well-organized collection of key software engineering research papers for practitioners seeking focused, quality reading material to level up their skills.</description></item><item><title>A curated taxonomy of open source web security scanners</title><link>https://ramdi.fr/github-stars/a-curated-taxonomy-of-open-source-web-security-scanners/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-taxonomy-of-open-source-web-security-scanners/</guid><description>Explore a community-curated catalog of open source web security scanners organized by scanner type, revealing trends in modern web app security tooling.</description></item><item><title>A practical 90-day roadmap to cybersecurity mastery with 90DaysOfCyberSecurity</title><link>https://ramdi.fr/github-stars/a-practical-90-day-roadmap-to-cybersecurity-mastery-with-90daysofcybersecurity/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-practical-90-day-roadmap-to-cybersecurity-mastery-with-90daysofcybersecurity/</guid><description>Explore 90DaysOfCyberSecurity, a structured 90-day self-study roadmap blending free certification prep, hands-on labs, and career guidance for aspiring cybersecurity pros.</description></item><item><title>A practical knowledge base for mastering Stable Diffusion and generative AI workflows</title><link>https://ramdi.fr/github-stars/a-practical-knowledge-base-for-mastering-stable-diffusion-and-generative-ai-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-practical-knowledge-base-for-mastering-stable-diffusion-and-generative-ai-workflows/</guid><description>Explore a curated repository of tutorials and workflows for Stable Diffusion, fine-tuning, ComfyUI, Automatic1111, and cloud execution. Ideal for hands-on AI practitioners.</description></item><item><title>A structured GPU performance engineering curriculum from fundamentals to frontier labs</title><link>https://ramdi.fr/github-stars/a-structured-gpu-performance-engineering-curriculum-from-fundamentals-to-frontier-labs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-structured-gpu-performance-engineering-curriculum-from-fundamentals-to-frontier-labs/</guid><description>A curated GPU performance engineering curriculum focusing on CUDA, kernel optimization, and NVIDIA architectures, guiding engineers from fundamentals to advanced production techniques.</description></item><item><title>A structured Kubernetes learning path to tame the complexity of cluster administration</title><link>https://ramdi.fr/github-stars/a-structured-kubernetes-learning-path-to-tame-the-complexity-of-cluster-administration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-structured-kubernetes-learning-path-to-tame-the-complexity-of-cluster-administration/</guid><description>A curated Kubernetes learning roadmap that breaks down prerequisites, architecture, and advanced topics into a progressive curriculum for DevOps learners.</description></item><item><title>AgencyOS: a self-hosted operating system for digital agencies built on Directus and Nuxt 3</title><link>https://ramdi.fr/github-stars/agencyos-a-self-hosted-operating-system-for-digital-agencies-built-on-directus-and-nuxt-3/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/agencyos-a-self-hosted-operating-system-for-digital-agencies-built-on-directus-and-nuxt-3/</guid><description>AgencyOS combines Directus headless CMS and Nuxt 3 to deliver a self-hosted platform for digital agencies covering CRM, project management, invoicing, and client portals with Stripe integration.</description></item><item><title>AgentFlow: orchestrating AI coding agents with programmatic dependency graphs</title><link>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-programmatic-dependency-graphs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-programmatic-dependency-graphs/</guid><description>AgentFlow uses Python&amp;rsquo;s graph-based DSL to orchestrate AI coding agents with parallelism, iteration, and remote execution. It supports Codex, Claude, and others.</description></item><item><title>ai-interview-codex: iterative AI system design and interview prep with real-world benchmarks</title><link>https://ramdi.fr/github-stars/ai-interview-codex-iterative-ai-system-design-and-interview-prep-with-real-world-benchmarks/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-interview-codex-iterative-ai-system-design-and-interview-prep-with-real-world-benchmarks/</guid><description>ai-interview-codex offers a practical AI interview prep guide featuring iterative system design for Agentic AI and RAG, with benchmarks and production insights for ML, LLM, and system design roles.</description></item><item><title>AI-ML-Cheatsheets: a structured collection of AI and machine learning reference sheets</title><link>https://ramdi.fr/github-stars/ai-ml-cheatsheets-a-structured-collection-of-ai-and-machine-learning-reference-sheets/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-ml-cheatsheets-a-structured-collection-of-ai-and-machine-learning-reference-sheets/</guid><description>AI-ML-Cheatsheets offers a modular, offline-ready collection of concise AI/ML reference sheets from foundational math to transformers and large language models.</description></item><item><title>ai4anim-webgpu: in-browser neural motion matching with WebGPU compute shaders</title><link>https://ramdi.fr/github-stars/ai4anim-webgpu-in-browser-neural-motion-matching-with-webgpu-compute-shaders/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai4anim-webgpu-in-browser-neural-motion-matching-with-webgpu-compute-shaders/</guid><description>ai4anim-webgpu runs batched neural motion matching inference for multiple agents entirely in the browser using WebGPU compute shaders and mixed-precision matmul kernels.</description></item><item><title>Algorithmic trading with AI: the Harvard RBI framework for disciplined strategy development</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</guid><description>This repo teaches algorithmic trading with a disciplined Research-Backtest-Implement method using Python and AI tools. It stresses avoiding emotional mistakes with systematic workflows.</description></item><item><title>ALICE: a self-contained YOLO dataset management toolkit with a creative single-file Python builder</title><link>https://ramdi.fr/github-stars/alice-a-self-contained-yolo-dataset-management-toolkit-with-a-creative-single-file-python-builder/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/alice-a-self-contained-yolo-dataset-management-toolkit-with-a-creative-single-file-python-builder/</guid><description>ALICE is a Python-based toolkit for managing YOLO training datasets from home camera setups, featuring a unique single-file builder and seamless Frigate NVR integration.</description></item><item><title>Alpine Android Docker images: a lightweight matrix for reproducible Android CI builds</title><link>https://ramdi.fr/github-stars/alpine-android-docker-images-a-lightweight-matrix-for-reproducible-android-ci-builds/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/alpine-android-docker-images-a-lightweight-matrix-for-reproducible-android-ci-builds/</guid><description>Alpine Android offers lightweight Docker images combining Alpine Linux and BellSoft Liberica JDK variants with Android SDKs for reproducible, efficient CI/CD Android builds.</description></item><item><title>APISR: a Python toolkit for AI-based image and video super-resolution with practical inference modes</title><link>https://ramdi.fr/github-stars/apisr-a-python-toolkit-for-ai-based-image-and-video-super-resolution-with-practical-inference-modes/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/apisr-a-python-toolkit-for-ai-based-image-and-video-super-resolution-with-practical-inference-modes/</guid><description>APISR is a Python repo for AI-powered image and video super-resolution, offering fast Gradio inference and full-featured regular inference with dataset curation tools.</description></item><item><title>Apple Mobile Drivers Installer: Streamlining Apple USB driver setup on Windows without iTunes</title><link>https://ramdi.fr/github-stars/apple-mobile-drivers-installer-streamlining-apple-usb-driver-setup-on-windows-without-itunes/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/apple-mobile-drivers-installer-streamlining-apple-usb-driver-setup-on-windows-without-itunes/</guid><description>A PowerShell script installs Apple USB and Mobile Device Ethernet drivers on Windows by fetching official .cab packages from Microsoft Update, avoiding iTunes bloat and delays.</description></item><item><title>Apprise API: container-native notification gateway with hardened production design</title><link>https://ramdi.fr/github-stars/apprise-api-container-native-notification-gateway-with-hardened-production-design/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/apprise-api-container-native-notification-gateway-with-hardened-production-design/</guid><description>Apprise API wraps 130+ notification services behind a lightweight REST API with a container-native design, nginx+gunicorn+supervisord orchestration, and production-hardened Docker images.</description></item><item><title>Argus: a modular Python CLI toolkit for comprehensive security reconnaissance</title><link>https://ramdi.fr/github-stars/argus-a-modular-python-cli-toolkit-for-comprehensive-security-reconnaissance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/argus-a-modular-python-cli-toolkit-for-comprehensive-security-reconnaissance/</guid><description>Argus is a Python CLI toolkit bundling 135 reconnaissance modules across network, web, and threat intelligence domains in a unified command shell.</description></item><item><title>Arkon: Structured enterprise knowledge synthesis with a unique LLM compilation pipeline</title><link>https://ramdi.fr/github-stars/arkon-structured-enterprise-knowledge-synthesis-with-a-unique-llm-compilation-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/arkon-structured-enterprise-knowledge-synthesis-with-a-unique-llm-compilation-pipeline/</guid><description>Arkon is a self-hosted enterprise knowledge hub using a novel MRP pipeline for structured, traceable wiki compilation with external AI inference and workspace-scoped RBAC.</description></item><item><title>Atlas: containerized multi-layer network scanner and visualizer with Go, FastAPI, and React</title><link>https://ramdi.fr/github-stars/atlas-containerized-multi-layer-network-scanner-and-visualizer-with-go-fastapi-and-react/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/atlas-containerized-multi-layer-network-scanner-and-visualizer-with-go-fastapi-and-react/</guid><description>Atlas is a self-contained Docker network scanner combining Go CLI scanning, FastAPI backend, and React dashboard for multi-layered discovery and visualization.</description></item><item><title>Autodistill: Automating vision model distillation from foundation models to edge deployables</title><link>https://ramdi.fr/github-stars/autodistill-automating-vision-model-distillation-from-foundation-models-to-edge-deployables/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/autodistill-automating-vision-model-distillation-from-foundation-models-to-edge-deployables/</guid><description>Autodistill automates the pipeline from large foundation models to edge-ready vision models using pluggable plugins and a natural language ontology for zero-shot labeling.</description></item><item><title>Automating Tailscale updates on GL.iNet routers with a smart shell script</title><link>https://ramdi.fr/github-stars/automating-tailscale-updates-on-gl-inet-routers-with-a-smart-shell-script/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-tailscale-updates-on-gl-inet-routers-with-a-smart-shell-script/</guid><description>A shell script automates Tailscale installation and updates on GL.iNet routers, auto-detecting CPU architecture and optimizing binaries to fit small flash storage.</description></item><item><title>Automating YouTube content creation with youtube-automation-agent</title><link>https://ramdi.fr/github-stars/automating-youtube-content-creation-with-youtube-automation-agent/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-youtube-content-creation-with-youtube-automation-agent/</guid><description>Explore youtube-automation-agent, a Node.js tool that automates YouTube content creation using AI and the YouTube API. Setup is streamlined via an interactive wizard.</description></item><item><title>AutoSkill: Experience-driven lifelong learning for LLM agents with skill versioning and evolution</title><link>https://ramdi.fr/github-stars/autoskill-experience-driven-lifelong-learning-for-llm-agents-with-skill-versioning-and-evolution/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoskill-experience-driven-lifelong-learning-for-llm-agents-with-skill-versioning-and-evolution/</guid><description>AutoSkill is a Python framework enabling LLM agents to extract, version, and evolve skills from dialogues, providing a persistent long-term memory system for AI agents.</description></item><item><title>Autoware Vision Pilot: An open-source stack exploring multiple end-to-end AI approaches for autonomous driving</title><link>https://ramdi.fr/github-stars/autoware-vision-pilot-an-open-source-stack-exploring-multiple-end-to-end-ai-approaches-for-autonomous-driving/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoware-vision-pilot-an-open-source-stack-exploring-multiple-end-to-end-ai-approaches-for-autonomous-driving/</guid><description>Autoware Vision Pilot is an open-source autonomous driving stack implementing three end-to-end AI paradigms without relying on HD maps. It targets ADAS to full autonomy progression.</description></item><item><title>Auuki: a browser-based indoor cycling app using Web Bluetooth and .FIT recording</title><link>https://ramdi.fr/github-stars/auuki-a-browser-based-indoor-cycling-app-using-web-bluetooth-and-fit-recording/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/auuki-a-browser-based-indoor-cycling-app-using-web-bluetooth-and-fit-recording/</guid><description>Auuki is a progressive web app that controls smart cycling trainers via Web Bluetooth, supports .ZWO workouts, records .FIT files with RR data, and syncs with Intervals.icu and Strava. No install needed.</description></item><item><title>awesome-ios: the definitive curated directory for iOS development resources</title><link>https://ramdi.fr/github-stars/awesome-ios-the-definitive-curated-directory-for-ios-development-resources/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-ios-the-definitive-curated-directory-for-ios-development-resources/</guid><description>awesome-ios is a community-curated catalog of iOS libraries, tools, and learning resources that maps the evolution of Apple platform development from Objective-C to SwiftUI.</description></item><item><title>awesome-osint-arsenal: automated multi-distro provisioning for a massive OSINT and security toolkit</title><link>https://ramdi.fr/github-stars/awesome-osint-arsenal-automated-multi-distro-provisioning-for-a-massive-osint-and-security-toolkit/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-osint-arsenal-automated-multi-distro-provisioning-for-a-massive-osint-and-security-toolkit/</guid><description>awesome-osint-arsenal provides a single-command shell installer that auto-detects Linux distros and installs 750+ OSINT and security tools idempotently, turning an awesome list into a deployable arsenal.</description></item><item><title>awesome-phd-advice: a community-curated collection of PhD guidance</title><link>https://ramdi.fr/github-stars/awesome-phd-advice-a-community-curated-collection-of-phd-guidance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-phd-advice-a-community-curated-collection-of-phd-guidance/</guid><description>A comprehensive community-maintained collection of PhD advice links covering admissions, research, writing, and academic career preparation. No code, just curated wisdom.</description></item><item><title>awesome-stock-resources: a community-curated index of free stock assets with clear licensing</title><link>https://ramdi.fr/github-stars/awesome-stock-resources-a-community-curated-index-of-free-stock-assets-with-clear-licensing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-stock-resources-a-community-curated-index-of-free-stock-assets-with-clear-licensing/</guid><description>Discover awesome-stock-resources, a 14k-star GitHub repo organizing free stock photos, videos, and graphics by license type. A practical tool for designers and developers navigating free visual assets.</description></item><item><title>Azure Voice Live API Sales Coach: Real-time AI-powered voice training for sales</title><link>https://ramdi.fr/github-stars/azure-voice-live-api-sales-coach-real-time-ai-powered-voice-training-for-sales/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/azure-voice-live-api-sales-coach-real-time-ai-powered-voice-training-for-sales/</guid><description>Explore Azure&amp;rsquo;s Voice Live API in a Python Flask + React demo for real-time AI sales coaching with speech-to-speech conversations and instant feedback.</description></item><item><title>Baseline: A modular, customizable Obsidian theme platform with migration and marketplace features</title><link>https://ramdi.fr/github-stars/baseline-a-modular-customizable-obsidian-theme-platform-with-migration-and-marketplace-features/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/baseline-a-modular-customizable-obsidian-theme-platform-with-migration-and-marketplace-features/</guid><description>Baseline is an Obsidian theme built with SCSS that supports deep customization via Style Settings, a migration tool for theme settings, and a community marketplace for presets.</description></item><item><title>BookLore: rule-based self-hosted digital library management with network storage safety</title><link>https://ramdi.fr/github-stars/booklore-rule-based-self-hosted-digital-library-management-with-network-storage-safety/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/booklore-rule-based-self-hosted-digital-library-management-with-network-storage-safety/</guid><description>BookLore is a self-hosted Java Spring Boot and Angular app for managing digital libraries, featuring rule-based Magic Shelves and a network storage safety mode to prevent file corruption on NAS.</description></item><item><title>bopscrk: targeted password wordlist generation with lyric-based OSINT</title><link>https://ramdi.fr/github-stars/bopscrk-targeted-password-wordlist-generation-with-lyric-based-osint/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/bopscrk-targeted-password-wordlist-generation-with-lyric-based-osint/</guid><description>bopscrk is a Python CLI tool for targeted password wordlist generation, combining user input and scraped song lyrics with mutations. Useful in pentesting and red teaming.</description></item><item><title>BoredOS: A self-hosted hobbyist OS with graphical desktop and on-metal development tools</title><link>https://ramdi.fr/github-stars/boredos-a-self-hosted-hobbyist-os-with-graphical-desktop-and-on-metal-development-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/boredos-a-self-hosted-hobbyist-os-with-graphical-desktop-and-on-metal-development-tools/</guid><description>BoredOS is a hobbyist x86_64 OS written in C, featuring SMP, a hybrid VFS, graphical window manager, and bundled TCC and Lua interpreters — a self-hosting bare-metal environment.</description></item><item><title>Bridging Claude's AI 'computer' tool with Playwright browser automation</title><link>https://ramdi.fr/github-stars/bridging-claude-s-ai-computer-tool-with-playwright-browser-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/bridging-claude-s-ai-computer-tool-with-playwright-browser-automation/</guid><description>Playwright Computer Use links Claude&amp;rsquo;s abstract computer tool to real browser automation with Playwright, supporting sync and async APIs and cursor tracking.</description></item><item><title>brouter-web: a JavaScript Leaflet frontend for custom OpenStreetMap bike routing</title><link>https://ramdi.fr/github-stars/brouter-web-a-javascript-leaflet-frontend-for-custom-openstreetmap-bike-routing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/brouter-web-a-javascript-leaflet-frontend-for-custom-openstreetmap-bike-routing/</guid><description>brouter-web is a JavaScript frontend that uses Leaflet and D3.js to provide interactive bike routing with OpenStreetMap data via BRouter&amp;rsquo;s API, featuring custom profiles and elevation charts.</description></item><item><title>BrowseryTools: 136+ browser utilities with on-device AI in a Next.js monolith</title><link>https://ramdi.fr/github-stars/browserytools-136-browser-utilities-with-on-device-ai-in-a-next-js-monolith/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/browserytools-136-browser-utilities-with-on-device-ai-in-a-next-js-monolith/</guid><description>BrowseryTools packs over 136 browser utilities including on-device AI inference into a single Next.js app running fully client-side with zero backend or uploads.</description></item><item><title>BTC-Trading-Since-2020: A comprehensive public archive of Bitcoin trading data</title><link>https://ramdi.fr/github-stars/btc-trading-since-2020-a-comprehensive-public-archive-of-bitcoin-trading-data/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/btc-trading-since-2020-a-comprehensive-public-archive-of-bitcoin-trading-data/</guid><description>BTC-Trading-Since-2020 offers a rich public archive of Bitcoin trading data from 2020 onward, useful for researchers and traders seeking historical insights.</description></item><item><title>Building a custom Ubuntu live ISO from scratch with debootstrap and chroot</title><link>https://ramdi.fr/github-stars/building-a-custom-ubuntu-live-iso-from-scratch-with-debootstrap-and-chroot/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-custom-ubuntu-live-iso-from-scratch-with-debootstrap-and-chroot/</guid><description>A detailed guide to building a custom Ubuntu live ISO from scratch using debootstrap, chroot, and squashfs, revealing the full pipeline from minimal base to bootable ISO.</description></item><item><title>Building AI-assisted parametric 3D modeling with cad-skill: a self-correcting Claude Code extension</title><link>https://ramdi.fr/github-stars/building-ai-assisted-parametric-3d-modeling-with-cad-skill-a-self-correcting-claude-code-extension/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-ai-assisted-parametric-3d-modeling-with-cad-skill-a-self-correcting-claude-code-extension/</guid><description>cad-skill integrates Claude Code with CadQuery to create AI-driven parametric 3D modeling via a self-correcting Python script feedback loop, tailored for 3D printing workflows.</description></item><item><title>Building an AI coding assistant in Go: Inside the "how-to-build-a-coding-agent" workshop</title><link>https://ramdi.fr/github-stars/building-an-ai-coding-assistant-in-go-inside-the-how-to-build-a-coding-agent-workshop/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-an-ai-coding-assistant-in-go-inside-the-how-to-build-a-coding-agent-workshop/</guid><description>Explore how the &amp;ldquo;how-to-build-a-coding-agent&amp;rdquo; Go workshop progressively constructs an AI coding assistant using an event loop and modular tool registry with the Anthropic Claude API.</description></item><item><title>Building an open-source 10.5 GHz phased array radar with FPGA signal processing</title><link>https://ramdi.fr/github-stars/building-an-open-source-10-5-ghz-phased-array-radar-with-fpga-signal-processing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-an-open-source-10-5-ghz-phased-array-radar-with-fpga-signal-processing/</guid><description>AERIS-10 is an open-source X-band phased array radar system with FPGA-based real-time processing and Python GUI. Hardware and firmware are fully available for advanced radar engineering.</description></item><item><title>bull-board: A framework-agnostic dashboard for monitoring Bull and BullMQ job queues</title><link>https://ramdi.fr/github-stars/bull-board-a-framework-agnostic-dashboard-for-monitoring-bull-and-bullmq-job-queues/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/bull-board-a-framework-agnostic-dashboard-for-monitoring-bull-and-bullmq-job-queues/</guid><description>bull-board offers a real-time, framework-agnostic dashboard for monitoring Bull and BullMQ Redis-backed job queues with adapters for multiple Node.js frameworks.</description></item><item><title>Bytez: unified serverless inference across 220,000 AI models with a single API</title><link>https://ramdi.fr/github-stars/bytez-unified-serverless-inference-across-220000-ai-models-with-a-single-api/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/bytez-unified-serverless-inference-across-220000-ai-models-with-a-single-api/</guid><description>Bytez offers a unified API for over 220,000 AI models with serverless GPU orchestration, abstracting model diversity into a single inference platform accessible via one key.</description></item><item><title>Cairn: a blackboard-driven state-space search engine with stateless agent workers</title><link>https://ramdi.fr/github-stars/cairn-a-blackboard-driven-state-space-search-engine-with-stateless-agent-workers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cairn-a-blackboard-driven-state-space-search-engine-with-stateless-agent-workers/</guid><description>Cairn implements state-space search via a minimal blackboard architecture with stateless OODA loop workers. It scored perfectly at the Tencent AI Penetration Testing Challenge.</description></item><item><title>Cavemem: deterministic compression and local memory for AI coding assistants</title><link>https://ramdi.fr/github-stars/cavemem-deterministic-compression-and-local-memory-for-ai-coding-assistants/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cavemem-deterministic-compression-and-local-memory-for-ai-coding-assistants/</guid><description>Cavemem offers a local-first persistent memory layer for AI coding assistants, compressing session data with a deterministic grammar to reduce token count by 75%. It stores observations in SQLite with hybrid search and runs without a daemon.</description></item><item><title>CF-Hero: A Go CLI for uncovering origin IPs behind Cloudflare using multi-source OSINT correlation</title><link>https://ramdi.fr/github-stars/cf-hero-a-go-cli-for-uncovering-origin-ips-behind-cloudflare-using-multi-source-osint-correlation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cf-hero-a-go-cli-for-uncovering-origin-ips-behind-cloudflare-using-multi-source-osint-correlation/</guid><description>CF-Hero is a Go CLI tool that finds origin IP addresses hidden behind Cloudflare by correlating OSINT sources, DNS history, and HTTP fingerprinting. A practical tool for security pros.</description></item><item><title>ChatTutor: enabling AI tutors to teach STEM visually with a Vue + Bun full-stack</title><link>https://ramdi.fr/github-stars/chattutor-enabling-ai-tutors-to-teach-stem-visually-with-a-vue-bun-full-stack/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/chattutor-enabling-ai-tutors-to-teach-stem-visually-with-a-vue-bun-full-stack/</guid><description>ChatTutor integrates AI tutors with visual tools like Geogebra in a Vue + Bun full-stack. It supports multiple LLM providers and offers a digital whiteboard for interactive STEM learning.</description></item><item><title>CK-X: Docker-based Kubernetes exam simulator with real-time smart evaluation</title><link>https://ramdi.fr/github-stars/ck-x-docker-based-kubernetes-exam-simulator-with-real-time-smart-evaluation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ck-x-docker-based-kubernetes-exam-simulator-with-real-time-smart-evaluation/</guid><description>CK-X simulates Kubernetes certification exams using Docker and K3D, providing realistic timed practice with automatic real-time solution verification via a web interface.</description></item><item><title>claude-office: integrating Claude Code into a full-stack TypeScript environment</title><link>https://ramdi.fr/github-stars/claude-office-integrating-claude-code-into-a-full-stack-typescript-environment/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-office-integrating-claude-code-into-a-full-stack-typescript-environment/</guid><description>claude-office offers a TypeScript-based environment integrating Claude Code CLI with a backend and frontend, supporting AI enhancements. Quickstart commands enable fast setup.</description></item><item><title>Claude-OSINT: Turning Claude into an AI-driven OSINT Recon Operator with Structured Skills</title><link>https://ramdi.fr/github-stars/claude-osint-turning-claude-into-an-ai-driven-osint-recon-operator-with-structured-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-osint-turning-claude-into-an-ai-driven-osint-recon-operator-with-structured-skills/</guid><description>Claude-OSINT equips Claude LLM with 4,600+ lines of structured OSINT tradecraft in markdown skills, enabling AI-driven recon with 90+ modules, 80+ dorks, and attack-path templates. No external APIs needed.</description></item><item><title>claudeblattman: a no-code AI workflow guide for academics using markdown-based Claude Code skills</title><link>https://ramdi.fr/github-stars/claudeblattman-a-no-code-ai-workflow-guide-for-academics-using-markdown-based-claude-code-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/claudeblattman-a-no-code-ai-workflow-guide-for-academics-using-markdown-based-claude-code-skills/</guid><description>claudeblattman is an open-source guide that teaches academics to build practical AI workflows with Claude Code using markdown-based skills—no coding required.</description></item><item><title>Claw-Eval: a rigorous Python harness for trustworthy evaluation of LLM-powered autonomous agents</title><link>https://ramdi.fr/github-stars/claw-eval-a-rigorous-python-harness-for-trustworthy-evaluation-of-llm-powered-autonomous-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/claw-eval-a-rigorous-python-harness-for-trustworthy-evaluation-of-llm-powered-autonomous-agents/</guid><description>Claw-Eval offers a Python-based evaluation harness for LLM autonomous agents, featuring 300 tasks and a strict Pass^3 metric to ensure reliable, multi-dimensional benchmarking.</description></item><item><title>Clawd on Desk: an ambient desktop pet for real-time AI agent observability</title><link>https://ramdi.fr/github-stars/clawd-on-desk-an-ambient-desktop-pet-for-real-time-ai-agent-observability/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawd-on-desk-an-ambient-desktop-pet-for-real-time-ai-agent-observability/</guid><description>Clawd on Desk uses an Electron-based desktop pet with pixel-art animations to visualize AI coding agents&amp;rsquo; activity in real time, enabling glanceable observability and inline permission handling.</description></item><item><title>ClawMetry: zero-config real-time observability dashboard for OpenClaw AI agents</title><link>https://ramdi.fr/github-stars/clawmetry-zero-config-real-time-observability-dashboard-for-openclaw-ai-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawmetry-zero-config-real-time-observability-dashboard-for-openclaw-ai-agents/</guid><description>ClawMetry offers a zero-configuration real-time dashboard for OpenClaw AI agents, visualizing message flows, token usage, and operational alerts with easy setup.</description></item><item><title>Clay: a self-hosted multiplayer AI workspace with persistent AI teammates and autonomous coding loops</title><link>https://ramdi.fr/github-stars/clay-a-self-hosted-multiplayer-ai-workspace-with-persistent-ai-teammates-and-autonomous-coding-loops/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/clay-a-self-hosted-multiplayer-ai-workspace-with-persistent-ai-teammates-and-autonomous-coding-loops/</guid><description>Clay unifies local repos into a browser-based dashboard with persistent AI teammates that remember across sessions and iterate autonomously via overnight coding loops. Self-hosted with no cloud lock-in.</description></item><item><title>Clipaste: a high-performance native macOS clipboard manager with iOS keyboard integration</title><link>https://ramdi.fr/github-stars/clipaste-a-high-performance-native-macos-clipboard-manager-with-ios-keyboard-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/clipaste-a-high-performance-native-macos-clipboard-manager-with-ios-keyboard-integration/</guid><description>Clipaste is a native macOS clipboard manager built with SwiftUI and SwiftData, featuring an iOS keyboard extension and iCloud sync for seamless cross-device clipboard access. It optimizes performance for large histories and supports migrations from popular alternatives.</description></item><item><title>CodeBurn: local-first terminal dashboard for AI coding token costs and efficiency</title><link>https://ramdi.fr/github-stars/codeburn-local-first-terminal-dashboard-for-ai-coding-token-costs-and-efficiency/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/codeburn-local-first-terminal-dashboard-for-ai-coding-token-costs-and-efficiency/</guid><description>CodeBurn offers local tracking of token usage and costs across 19 AI coding tools via a TypeScript TUI, using deterministic task classification and no cloud dependencies.</description></item><item><title>Codex Autoresearch: structured AI-driven optimization loops with multi-session state</title><link>https://ramdi.fr/github-stars/codex-autoresearch-structured-ai-driven-optimization-loops-with-multi-session-state/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/codex-autoresearch-structured-ai-driven-optimization-loops-with-multi-session-state/</guid><description>Codex Autoresearch structures vague improvement goals into measured AI-driven optimization loops with durable multi-session state and live dashboard insights.</description></item><item><title>Comic Translate: AI-driven multi-language comic translation with full-page context</title><link>https://ramdi.fr/github-stars/comic-translate-ai-driven-multi-language-comic-translation-with-full-page-context/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/comic-translate-ai-driven-multi-language-comic-translation-with-full-page-context/</guid><description>Comic Translate uses advanced AI models and a multi-step pipeline for accurate comic translation across languages, combining speech bubble detection, OCR, and LLMs with full-page context.</description></item><item><title>CommandoVM: weaponizing Windows as a first-class pentesting platform</title><link>https://ramdi.fr/github-stars/commandovm-weaponizing-windows-as-a-first-class-pentesting-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/commandovm-weaponizing-windows-as-a-first-class-pentesting-platform/</guid><description>CommandoVM transforms Windows 10 into a fully armed penetration testing VM with a single PowerShell script, emphasizing Windows as an offensive platform. It requires disabling Defender for smooth setup.</description></item><item><title>Conar: an AI-powered multi-database SQL IDE in an Electron desktop app</title><link>https://ramdi.fr/github-stars/conar-an-ai-powered-multi-database-sql-ide-in-an-electron-desktop-app/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/conar-an-ai-powered-multi-database-sql-ide-in-an-electron-desktop-app/</guid><description>Conar is an Electron desktop app offering AI-assisted SQL editing for PostgreSQL, MySQL, MSSQL, and Clickhouse with encrypted cloud-stored connections and multiple AI model support.</description></item><item><title>CrackTech: a browser extension overlaying company-specific data on LeetCode problems</title><link>https://ramdi.fr/github-stars/cracktech-a-browser-extension-overlaying-company-specific-data-on-leetcode-problems/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cracktech-a-browser-extension-overlaying-company-specific-data-on-leetcode-problems/</guid><description>CrackTech overlays company-specific interview question data on LeetCode, integrating crowdsourced freshness signals and progress tracking with no data collection. A practical tool for interview prep.</description></item><item><title>Cyber Detective's OSINT Tools Collection: A curated index for systematic open-source intelligence workflows</title><link>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</guid><description>A curated collection of 1000+ OSINT tools organized by investigative domains, supporting systematic workflows in open-source intelligence gathering.</description></item><item><title>dataseo-mcp: wrapping Ahrefs SEO data as AI assistant tools via CAPTCHA bypass</title><link>https://ramdi.fr/github-stars/dataseo-mcp-wrapping-ahrefs-seo-data-as-ai-assistant-tools-via-captcha-bypass/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dataseo-mcp-wrapping-ahrefs-seo-data-as-ai-assistant-tools-via-captcha-bypass/</guid><description>dataseo-mcp is a Python MCP server that exposes Ahrefs SEO data by bypassing CAPTCHAs, offering AI coding assistants powerful SEO research tools integrated into IDEs like Claude and VS Code.</description></item><item><title>deck.gl-raster: GPU-accelerated client-side rendering of massive geospatial rasters</title><link>https://ramdi.fr/github-stars/deck-gl-raster-gpu-accelerated-client-side-rendering-of-massive-geospatial-rasters/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deck-gl-raster-gpu-accelerated-client-side-rendering-of-massive-geospatial-rasters/</guid><description>deck.gl-raster streams and renders huge Cloud-Optimized GeoTIFFs entirely in-browser using WebGL2, avoiding servers and preprocessing. It enables fast, scalable geospatial visualization of raw raster data.</description></item><item><title>Dedoc: Python library for structured document content extraction with a virtual stack machine PDF engine</title><link>https://ramdi.fr/github-stars/dedoc-python-library-for-structured-document-content-extraction-with-a-virtual-stack-machine-pdf-engine/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dedoc-python-library-for-structured-document-content-extraction-with-a-virtual-stack-machine-pdf-engine/</guid><description>Dedoc is a Python library and REST API that extracts structured content from diverse documents including PDFs, Office files, and images using a unique virtual stack machine PDF interpreter and OCR preprocessing.</description></item><item><title>Deep dive into MicroManipulatorStepper: submicron precision from magnetic gearing and closed-loop stepper control</title><link>https://ramdi.fr/github-stars/deep-dive-into-micromanipulatorstepper-submicron-precision-from-magnetic-gearing-and-closed-loop-stepper-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-dive-into-micromanipulatorstepper-submicron-precision-from-magnetic-gearing-and-closed-loop-stepper-control/</guid><description>MicroManipulatorStepper achieves 50nm step resolution with low-cost steppers via magnetic gearing and 30kHz closed-loop PWM. Explore its architecture, firmware, and precision tradeoffs.</description></item><item><title>DeepDiagram: Streaming XML-driven AI visualization with multi-agent orchestration</title><link>https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepdiagram-streaming-xml-driven-ai-visualization-with-multi-agent-orchestration/</guid><description>DeepDiagram uses a streaming XML tag output pattern with LangGraph multi-agent orchestration to transform natural language into diagrams in real-time. It features React 19 + FastAPI and supports multimodal inputs.</description></item><item><title>DeepSpeed: scalable deep learning optimization with extensible hardware support</title><link>https://ramdi.fr/github-stars/deepspeed-scalable-deep-learning-optimization-with-extensible-hardware-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepspeed-scalable-deep-learning-optimization-with-extensible-hardware-support/</guid><description>DeepSpeed is a Python library that optimizes large-scale deep learning training with multi-hardware support and JIT CUDA extensions. Explore its architecture, strengths, and quick installation.</description></item><item><title>DeepTeam: A Python framework for adversarial red teaming of large language models</title><link>https://ramdi.fr/github-stars/deepteam-a-python-framework-for-adversarial-red-teaming-of-large-language-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepteam-a-python-framework-for-adversarial-red-teaming-of-large-language-models/</guid><description>DeepTeam is a Python tool for red teaming LLMs by dynamically generating adversarial attacks and evaluating vulnerabilities like bias. It requires minimal setup and no predefined datasets.</description></item><item><title>DeepZero: Automating Windows Kernel Driver Vulnerability Research with YAML-Driven LLM Pipelines</title><link>https://ramdi.fr/github-stars/deepzero-automating-windows-kernel-driver-vulnerability-research-with-yaml-driven-llm-pipelines/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepzero-automating-windows-kernel-driver-vulnerability-research-with-yaml-driven-llm-pipelines/</guid><description>DeepZero automates vulnerability research on Windows kernel drivers by chaining Ghidra decompilation with LLM-based analysis using YAML pipelines and Jinja2 templates.</description></item><item><title>Design OS: Structuring AI-assisted product design into a predictable, code-ready workflow</title><link>https://ramdi.fr/github-stars/design-os-structuring-ai-assisted-product-design-into-a-predictable-code-ready-workflow/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/design-os-structuring-ai-assisted-product-design-into-a-predictable-code-ready-workflow/</guid><description>Design OS bridges product vision and AI coding by structuring design into a four-phase process that generates precise specs for AI agents, avoiding guesswork and generic UIs.</description></item><item><title>DiT4DiT: Vision-Action Modeling with Video Transformers for Real-Time Humanoid Robot Control</title><link>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</guid><description>DiT4DiT uses a frozen Cosmos-Predict2.5 video transformer backbone combined with flow-matching action heads to model robot actions as video latent transitions, achieving near-perfect success on LIBERO and real-time humanoid control.</description></item><item><title>Dot: an offline Electron desktop app for local LLM inference and document QA</title><link>https://ramdi.fr/github-stars/dot-an-offline-electron-desktop-app-for-local-llm-inference-and-document-qa/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dot-an-offline-electron-desktop-app-for-local-llm-inference-and-document-qa/</guid><description>Dot bundles local LLM inference, Retrieval Augmented Generation, and Text-To-Speech into a single offline Electron app, enabling document QA without cloud dependencies.</description></item><item><title>Drawbridge: Bridging UI annotations and AI coding assistants with a universal task protocol</title><link>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</guid><description>Drawbridge is a Chrome extension that turns browser UI annotations into structured AI tasks, integrating with Claude Code, Cursor, Codex, and Windsurf for AI-assisted coding.</description></item><item><title>DriverStoreExplorer: a multi-backend Windows driver store manager with offline image support</title><link>https://ramdi.fr/github-stars/driverstoreexplorer-a-multi-backend-windows-driver-store-manager-with-offline-image-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/driverstoreexplorer-a-multi-backend-windows-driver-store-manager-with-offline-image-support/</guid><description>DriverStoreExplorer is a mature C# Windows utility for browsing and cleaning the Windows DriverStore. It auto-detects multiple driver servicing backends, enabling online and offline management with force deletion.</description></item><item><title>DroidDesk: turning ARM64 Android phones into portable Linux desktops with Termux and Proot</title><link>https://ramdi.fr/github-stars/droiddesk-turning-arm64-android-phones-into-portable-linux-desktops-with-termux-and-proot/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/droiddesk-turning-arm64-android-phones-into-portable-linux-desktops-with-termux-and-proot/</guid><description>DroidDesk transforms ARM64 Android phones into full Linux desktops using Termux native userspace, GPU-accelerated X11, and a Proot container fallback. It supports monitor output via USB-C or Raspberry Pi bridge.</description></item><item><title>DualSDF: A two-level signed distance function approach for semantic 3D shape manipulation</title><link>https://ramdi.fr/github-stars/dualsdf-a-two-level-signed-distance-function-approach-for-semantic-3d-shape-manipulation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dualsdf-a-two-level-signed-distance-function-approach-for-semantic-3d-shape-manipulation/</guid><description>DualSDF separates coarse semantic structure from fine geometric detail in 3D shape modeling using a two-level signed distance function. It enables intuitive shape edits with pretrained models and a WebGL demo.</description></item><item><title>Efficient particle system rendering with three.quarks in TypeScript</title><link>https://ramdi.fr/github-stars/efficient-particle-system-rendering-with-three-quarks-in-typescript/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/efficient-particle-system-rendering-with-three-quarks-in-typescript/</guid><description>Explore three.quarks, a TypeScript library built on Three.js for flexible, batched particle system rendering. Learn its architecture, technical strengths, and how to get started.</description></item><item><title>Enatega multi-vendor delivery platform: open-source frontends backed by proprietary API</title><link>https://ramdi.fr/github-stars/enatega-multi-vendor-delivery-platform-open-source-frontends-backed-by-proprietary-api/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/enatega-multi-vendor-delivery-platform-open-source-frontends-backed-by-proprietary-api/</guid><description>Enatega offers a multi-vendor delivery platform with open-source React Native and web frontends powered by a proprietary Node.js backend API. This article explores its architecture, tradeoffs, and setup.</description></item><item><title>EnergyMe-Home: Open-Source ESP32-S3 Home Energy Monitoring with Multi-Protocol IoT Integration</title><link>https://ramdi.fr/github-stars/energyme-home-open-source-esp32-s3-home-energy-monitoring-with-multi-protocol-iot-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/energyme-home-open-source-esp32-s3-home-energy-monitoring-with-multi-protocol-iot-integration/</guid><description>EnergyMe-Home is an open-source DIY home energy monitor using ESP32-S3 and ADE7953, offering 16-circuit tracking, FreeRTOS firmware, and REST/MQTT/Modbus IoT integration with waveform analysis.</description></item><item><title>ESP-DASH: Real-time on-device dashboards for ESP32 and RP2040 microcontrollers</title><link>https://ramdi.fr/github-stars/esp-dash-real-time-on-device-dashboards-for-esp32-and-rp2040-microcontrollers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/esp-dash-real-time-on-device-dashboards-for-esp32-and-rp2040-microcontrollers/</guid><description>ESP-DASH is a C++ library that generates real-time web dashboards on ESP32 and RP2040 microcontrollers, requiring no frontend code and working fully offline.</description></item><item><title>ESP32 Bit Pirate: Multi-protocol hardware hacking firmware on ESP32-S3</title><link>https://ramdi.fr/github-stars/esp32-bit-pirate-multi-protocol-hardware-hacking-firmware-on-esp32-s3/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/esp32-bit-pirate-multi-protocol-hardware-hacking-firmware-on-esp32-s3/</guid><description>ESP32 Bit Pirate firmware turns affordable ESP32-S3 boards into versatile hardware hacking tools, supporting many protocols via USB serial or web CLI. Scriptable and Bus Pirate compatible.</description></item><item><title>Excalibur: A web interface for extracting tables from PDFs using Camelot</title><link>https://ramdi.fr/github-stars/excalibur-a-web-interface-for-extracting-tables-from-pdfs-using-camelot/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/excalibur-a-web-interface-for-extracting-tables-from-pdfs-using-camelot/</guid><description>Excalibur provides a Flask web UI over Camelot for extracting tabular data from PDFs. Supports manual selection, auto-detection, multiple backends, and export formats.</description></item><item><title>Exploring autonomy_stack_go2: A ROS2 and Unity-based autonomous vehicle simulation stack</title><link>https://ramdi.fr/github-stars/exploring-autonomy-stack-go2-a-ros2-and-unity-based-autonomous-vehicle-simulation-stack/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-autonomy-stack-go2-a-ros2-and-unity-based-autonomous-vehicle-simulation-stack/</guid><description>autonomy_stack_go2 is a C++ ROS2 stack integrated with Unity for autonomous vehicle simulation. Supports ROS2 Foxy and Humble with waypoint navigation in RVIZ.</description></item><item><title>Exploring Gemini-API: a Python client for Gemini with cookie management</title><link>https://ramdi.fr/github-stars/exploring-gemini-api-a-python-client-for-gemini-with-cookie-management/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-gemini-api-a-python-client-for-gemini-with-cookie-management/</guid><description>Gemini-API is a Python package providing client access to the Gemini API with built-in cookie management and Python 3.10+ support. Here’s how it works and how to get started.</description></item><item><title>Exploring GMR: real-time cross-embodiment human motion retargeting for humanoid robots</title><link>https://ramdi.fr/github-stars/exploring-gmr-real-time-cross-embodiment-human-motion-retargeting-for-humanoid-robots/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-gmr-real-time-cross-embodiment-human-motion-retargeting-for-humanoid-robots/</guid><description>GMR is a Python library that retargets human motion from multiple formats onto 17+ humanoid robots in real time on CPU, tuned for RL tracking policies and whole-body teleoperation.</description></item><item><title>Exploring sdf: a Python library for 3D mesh generation with signed distance functions</title><link>https://ramdi.fr/github-stars/exploring-sdf-a-python-library-for-3d-mesh-generation-with-signed-distance-functions/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-sdf-a-python-library-for-3d-mesh-generation-with-signed-distance-functions/</guid><description>sdf is a Python library that generates 3D meshes from signed distance functions using operator overloading for intuitive constructive solid geometry. It’s fast, minimal, and versatile.</description></item><item><title>Exploring the awesome-production-agentic-systems repository: a curated catalog of production-ready AI agentic systems</title><link>https://ramdi.fr/github-stars/exploring-the-awesome-production-agentic-systems-repository-a-curated-catalog-of-production-ready-ai-agentic-systems/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-awesome-production-agentic-systems-repository-a-curated-catalog-of-production-ready-ai-agentic-systems/</guid><description>The awesome-production-agentic-systems repo is a curated list of production-ready AI agentic systems, helping developers navigate the growing ecosystem of autonomous AI agents.</description></item><item><title>Extending Claude Code with a modular plugin marketplace for multi-agent AI workflows</title><link>https://ramdi.fr/github-stars/extending-claude-code-with-a-modular-plugin-marketplace-for-multi-agent-ai-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/extending-claude-code-with-a-modular-plugin-marketplace-for-multi-agent-ai-workflows/</guid><description>Explore a curated marketplace of 14 Python plugins that extend Claude Code through multi-agent orchestration, hook-based workflows, and integrations. Modular, standalone, and easy to install.</description></item><item><title>Fast3R: scalable multi-view 3D reconstruction with a single forward pass</title><link>https://ramdi.fr/github-stars/fast3r-scalable-multi-view-3d-reconstruction-with-a-single-forward-pass/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fast3r-scalable-multi-view-3d-reconstruction-with-a-single-forward-pass/</guid><description>Fast3R from Meta FAIR processes 1000+ unordered images simultaneously for 3D reconstruction using a ViT-Large backbone and multi-view attention, eliminating iterative matching.</description></item><item><title>finit: a minimal, fast init system for embedded Linux</title><link>https://ramdi.fr/github-stars/finit-a-minimal-fast-init-system-for-embedded-linux/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/finit-a-minimal-fast-init-system-for-embedded-linux/</guid><description>Finit is a lightweight init system in C designed for embedded Linux, offering deterministic, fast boot without systemd&amp;rsquo;s complexity. Ideal for resource-constrained devices.</description></item><item><title>FinTube: a Jellyfin plugin for direct YouTube content ingestion with yt-dlp integration</title><link>https://ramdi.fr/github-stars/fintube-a-jellyfin-plugin-for-direct-youtube-content-ingestion-with-yt-dlp-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fintube-a-jellyfin-plugin-for-direct-youtube-content-ingestion-with-yt-dlp-integration/</guid><description>FinTube is a Jellyfin plugin that enables direct downloading and tagging of YouTube videos into your self-hosted media library using yt-dlp and id3v2.</description></item><item><title>Flowbite Admin Dashboard: a flexible, static Tailwind CSS admin template with Flowbite components</title><link>https://ramdi.fr/github-stars/flowbite-admin-dashboard-a-flexible-static-tailwind-css-admin-template-with-flowbite-components/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowbite-admin-dashboard-a-flexible-static-tailwind-css-admin-template-with-flowbite-components/</guid><description>Flowbite Admin Dashboard uses Hugo and Tailwind CSS with Flowbite components to offer a versatile, static admin template that integrates easily with many front-end and back-end frameworks.</description></item><item><title>Formalizing academic paper writing as a programmable pipeline with Claude Code skills</title><link>https://ramdi.fr/github-stars/formalizing-academic-paper-writing-as-a-programmable-pipeline-with-claude-code-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/formalizing-academic-paper-writing-as-a-programmable-pipeline-with-claude-code-skills/</guid><description>This repo implements academic paper planning and writing as a two-phase Claude Code skill pipeline with a 35-point quality rubric enforced by Python scripts at each stage.</description></item><item><title>Frappe CRM: a self-hosted, Vue-powered CRM built on the Frappe Framework</title><link>https://ramdi.fr/github-stars/frappe-crm-a-self-hosted-vue-powered-crm-built-on-the-frappe-framework/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-crm-a-self-hosted-vue-powered-crm-built-on-the-frappe-framework/</guid><description>Frappe CRM is a self-hosted customer relationship management tool using Frappe Framework backend and Vue.js frontend, offering customizable, integrated sales workflows without per-seat costs.</description></item><item><title>Front-end Developer Interview Questions repository: a curated knowledge base for prep</title><link>https://ramdi.fr/github-stars/front-end-developer-interview-questions-repository-a-curated-knowledge-base-for-prep/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/front-end-developer-interview-questions-repository-a-curated-knowledge-base-for-prep/</guid><description>Explore the h5bp/Front-end-Developer-Interview-Questions repo, a popular curated collection of front-end interview questions. Essential for any front-end dev prep.</description></item><item><title>Fuji: macOS-native live forensic acquisition with unattended logical imaging</title><link>https://ramdi.fr/github-stars/fuji-macos-native-live-forensic-acquisition-with-unattended-logical-imaging/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fuji-macos-native-live-forensic-acquisition-with-unattended-logical-imaging/</guid><description>Fuji is a Python tool for live logical forensic acquisition on macOS, using only native system utilities to create forensically sound DMG images in an unattended workflow.</description></item><item><title>Full-stack digital marketplace with end-to-end type safety using Next.js 14 and tRPC</title><link>https://ramdi.fr/github-stars/full-stack-digital-marketplace-with-end-to-end-type-safety-using-next-js-14-and-trpc/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/full-stack-digital-marketplace-with-end-to-end-type-safety-using-next-js-14-and-trpc/</guid><description>Explore DigitalHippo, a full-stack digital products marketplace built with Next.js 14, tRPC, Payload CMS, and Stripe, featuring end-to-end type safety and a reusable admin dashboard.</description></item><item><title>Fun-ASR: Alibaba's multilingual speech recognition model with real-time capabilities</title><link>https://ramdi.fr/github-stars/fun-asr-alibaba-s-multilingual-speech-recognition-model-with-real-time-capabilities/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fun-asr-alibaba-s-multilingual-speech-recognition-model-with-real-time-capabilities/</guid><description>Fun-ASR is Alibaba Tongyi Lab&amp;rsquo;s end-to-end speech recognition model with 800M parameters, supporting 31 languages and real-time transcription in noisy environments.</description></item><item><title>Fusion: orchestrating AI agents with git worktree isolation and multi-node synchronization</title><link>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</guid><description>Fusion uses git worktree isolation to run parallel AI agents without conflicts, syncing across desktop, mobile, and CLI via a multi-node mesh.</description></item><item><title>FusionCore: A robust ROS 2 Unscented Kalman Filter for sensor fusion with adaptive GPS outlier rejection</title><link>https://ramdi.fr/github-stars/fusioncore-a-robust-ros-2-unscented-kalman-filter-for-sensor-fusion-with-adaptive-gps-outlier-rejection/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fusioncore-a-robust-ros-2-unscented-kalman-filter-for-sensor-fusion-with-adaptive-gps-outlier-rejection/</guid><description>FusionCore is a ROS 2 SDK implementing an Unscented Kalman Filter that fuses IMU, wheel encoders, and GPS at 100 Hz with adaptive noise covariance and robust GPS outlier rejection.</description></item><item><title>FuzzyAI: AI-Driven Fuzz Testing with Local LLM Integration</title><link>https://ramdi.fr/github-stars/fuzzyai-ai-driven-fuzz-testing-with-local-llm-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fuzzyai-ai-driven-fuzz-testing-with-local-llm-integration/</guid><description>FuzzyAI combines fuzz testing with AI models using Python and Ollama. It offers a CLI for fuzzing with local LLMs, balancing AI power and practical setup tradeoffs.</description></item><item><title>GarudRecon: orchestrating 80+ security tools for automated recon with Bash</title><link>https://ramdi.fr/github-stars/garudrecon-orchestrating-80-security-tools-for-automated-recon-with-bash/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/garudrecon-orchestrating-80-security-tools-for-automated-recon-with-bash/</guid><description>GarudRecon automates reconnaissance by orchestrating 80+ security tools in Bash. Its design tradeoffs and installation steps reveal why Bash remains a practical choice for heavy string manipulation workflows.</description></item><item><title>Genesis-world: a high-throughput unified physics engine for robotics simulation and embodied AI</title><link>https://ramdi.fr/github-stars/genesis-world-a-high-throughput-unified-physics-engine-for-robotics-simulation-and-embodied-ai/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/genesis-world-a-high-throughput-unified-physics-engine-for-robotics-simulation-and-embodied-ai/</guid><description>Genesis-world delivers 43 million FPS on RTX 4090, unifying multiple physics methods with GPU acceleration and a pythonic API. It supports differentiable sim and natural language-driven data generation for robotics.</description></item><item><title>GenZ-ICP: robust LiDAR odometry with adaptive weighting for degenerate geometries</title><link>https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/</guid><description>GenZ-ICP enhances LiDAR odometry by introducing an adaptive weighting scheme for ICP registration, improving robustness in challenging environments like tunnels and open fields. It builds on KISS-ICP with Python and ROS integration.</description></item><item><title>geowifi: a multi-source WiFi geolocation aggregator with passive OSINT capabilities</title><link>https://ramdi.fr/github-stars/geowifi-a-multi-source-wifi-geolocation-aggregator-with-passive-osint-capabilities/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/geowifi-a-multi-source-wifi-geolocation-aggregator-with-passive-osint-capabilities/</guid><description>geowifi is a Python OSINT tool querying seven WiFi geolocation databases to map BSSID or SSID to coordinates, outputting JSON or HTML maps with vendor lookup.</description></item><item><title>Get cookies.txt LOCALLY: a privacy-first browser extension for local cookie export</title><link>https://ramdi.fr/github-stars/get-cookies-txt-locally-a-privacy-first-browser-extension-for-local-cookie-export/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/get-cookies-txt-locally-a-privacy-first-browser-extension-for-local-cookie-export/</guid><description>Get cookies.txt LOCALLY exports browser cookies in Netscape or JSON format with zero external calls. Privacy-focused, minimal permissions, Manifest V3 extension compatible with wget, curl, and Python scripts.</description></item><item><title>Get-Github-Achievements: the unofficial guide to GitHub's achievement badges</title><link>https://ramdi.fr/github-stars/get-github-achievements-the-unofficial-guide-to-github-s-achievement-badges/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/get-github-achievements-the-unofficial-guide-to-github-s-achievement-badges/</guid><description>Get-Github-Achievements documents every GitHub achievement badge with detailed how-tos and screenshots, filling the gap left by GitHub&amp;rsquo;s missing official guide. Translated into 15 languages, it serves as the unofficial wiki for GitHub gamification.</description></item><item><title>gimp-mcp: enabling AI-driven image editing with live feedback via Model Context Protocol</title><link>https://ramdi.fr/github-stars/gimp-mcp-enabling-ai-driven-image-editing-with-live-feedback-via-model-context-protocol/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gimp-mcp-enabling-ai-driven-image-editing-with-live-feedback-via-model-context-protocol/</guid><description>GIMP MCP bridges GIMP 3.2 with AI assistants via MCP, offering 56 tool commands and live PNG snapshots for AI-driven iterative image editing workflows.</description></item><item><title>GIS-MCP: enabling LLM-driven geospatial analysis through a Model Context Protocol server</title><link>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</guid><description>GIS-MCP is a Python MCP server that exposes geospatial operations as structured tools for LLMs, bridging natural language and GIS workflows without coding.</description></item><item><title>gnnpapers: the definitive curated reading list for graph neural network research</title><link>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</guid><description>gnnpapers is a curated, community-recognized bibliography of 800+ must-read graph neural network papers. It organizes GNN research evolution and applications without any code.</description></item><item><title>Graph-R1: Reinforcement learning to train LLMs for reasoning over knowledge graphs</title><link>https://ramdi.fr/github-stars/graph-r1-reinforcement-learning-to-train-llms-for-reasoning-over-knowledge-graphs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/graph-r1-reinforcement-learning-to-train-llms-for-reasoning-over-knowledge-graphs/</guid><description>Graph-R1 trains large language models with reinforcement learning to reason over knowledge graphs, cycling through think-query-retrieve-rethink steps for complex knowledge tasks.</description></item><item><title>GridSound: a full-fledged browser-based digital audio workstation built with Web Audio API</title><link>https://ramdi.fr/github-stars/gridsound-a-full-fledged-browser-based-digital-audio-workstation-built-with-web-audio-api/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gridsound-a-full-fledged-browser-based-digital-audio-workstation-built-with-web-audio-api/</guid><description>GridSound is a browser-based digital audio workstation leveraging the Web Audio API and JavaScript to deliver a full DAW experience with no installs or plugins.</description></item><item><title>GS-Playground: High-throughput photorealistic simulation for vision-based robot learning</title><link>https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/</guid><description>GS-Playground combines 3D Gaussian Splatting rendering with a velocity-impulse physics engine to enable large-scale visual reinforcement learning at up to 10^4 FPS. Preview release with core simulation API and demos.</description></item><item><title>H4X-Tools: a modular Python CLI for OSINT and dual-source credential leak search</title><link>https://ramdi.fr/github-stars/h4x-tools-a-modular-python-cli-for-osint-and-dual-source-credential-leak-search/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/h4x-tools-a-modular-python-cli-for-osint-and-dual-source-credential-leak-search/</guid><description>H4X-Tools is a Python 3.10+ CLI toolkit offering 16 modular OSINT utilities, including a dual-source leak search combining stealer logs and a 3.2B+ credential dataset for actionable breach insights.</description></item><item><title>Hackingtool Plugin: a smart dispatcher for 183 pentesting tools with native, WSL, and Docker backends</title><link>https://ramdi.fr/github-stars/hackingtool-plugin-a-smart-dispatcher-for-183-pentesting-tools-with-native-wsl-and-docker-backends/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/hackingtool-plugin-a-smart-dispatcher-for-183-pentesting-tools-with-native-wsl-and-docker-backends/</guid><description>Hackingtool-plugin wraps 183 pentesting and OSINT tools behind a Claude Code plugin. It smartly dispatches commands to native Bash, WSL, or Docker containers, outputting clean JSON.</description></item><item><title>HaloVoice: browser-based real-time AI voice translation with cloud processing</title><link>https://ramdi.fr/github-stars/halovoice-browser-based-real-time-ai-voice-translation-with-cloud-processing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/halovoice-browser-based-real-time-ai-voice-translation-with-cloud-processing/</guid><description>HaloVoice offers real-time AI voice translation in the browser with sub-200ms latency using cloud AI. It supports 30+ languages and integrates as a system mic for apps like Discord and Zoom.</description></item><item><title>Harvey LAB: Benchmarking legal LLM agents with realistic tasks and automated scoring</title><link>https://ramdi.fr/github-stars/harvey-lab-benchmarking-legal-llm-agents-with-realistic-tasks-and-automated-scoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/harvey-lab-benchmarking-legal-llm-agents-with-realistic-tasks-and-automated-scoring/</guid><description>Harvey LAB offers an open-source benchmark for evaluating LLM agents on realistic legal tasks using an all-pass rubric and LLM-as-judge scoring. It includes datasets, adapters, and dashboards.</description></item><item><title>HelloESP: Serving a Public Website from an ESP32 Behind NAT with Cloudflare WebSocket Relay</title><link>https://ramdi.fr/github-stars/helloesp-serving-a-public-website-from-an-esp32-behind-nat-with-cloudflare-websocket-relay/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/helloesp-serving-a-public-website-from-an-esp32-behind-nat-with-cloudflare-websocket-relay/</guid><description>HelloESP runs a full public website on a $25 ESP32, using a Cloudflare Worker to relay requests via a persistent outbound WebSocket tunnel, enabling live sensor data and games behind NAT.</description></item><item><title>herdr: a terminal-native AI agent multiplexer with session persistence and agent state awareness</title><link>https://ramdi.fr/github-stars/herdr-a-terminal-native-ai-agent-multiplexer-with-session-persistence-and-agent-state-awareness/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/herdr-a-terminal-native-ai-agent-multiplexer-with-session-persistence-and-agent-state-awareness/</guid><description>herdr is a Rust-based terminal multiplexer combining tmux-style session persistence with AI agent state detection. It offers zero-config agent monitoring and Unix socket API for orchestration.</description></item><item><title>Hivemind: decentralized peer-to-peer deep learning with PyTorch</title><link>https://ramdi.fr/github-stars/hivemind-decentralized-peer-to-peer-deep-learning-with-pytorch/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/hivemind-decentralized-peer-to-peer-deep-learning-with-pytorch/</guid><description>Hivemind is a PyTorch library enabling decentralized deep learning over the internet using a peer-to-peer Distributed Hash Table (DHT). It supports fault-tolerant training and decentralized parameter averaging without global sync.</description></item><item><title>home-assistant-floor-plan: automating floor plan generation for Home Assistant</title><link>https://ramdi.fr/github-stars/home-assistant-floor-plan-automating-floor-plan-generation-for-home-assistant/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/home-assistant-floor-plan-automating-floor-plan-generation-for-home-assistant/</guid><description>home-assistant-floor-plan automates generating floor plan images and YAML for Home Assistant&amp;rsquo;s picture-elements cards, simplifying smart home visualization setup.</description></item><item><title>Home-AssistantConfig: a modular, infrastructure-as-code approach to smart home automation</title><link>https://ramdi.fr/github-stars/home-assistantconfig-a-modular-infrastructure-as-code-approach-to-smart-home-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/home-assistantconfig-a-modular-infrastructure-as-code-approach-to-smart-home-automation/</guid><description>Explore CCOSTAN&amp;rsquo;s Home-AssistantConfig, a 5K-star modular YAML architecture for Home Assistant smart homes, with Docker orchestration and real-world hardware integrations.</description></item><item><title>homeassistant-ai/skills: standardizing Home Assistant skills for AI coding agents</title><link>https://ramdi.fr/github-stars/homeassistant-ai-skills-standardizing-home-assistant-skills-for-ai-coding-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/homeassistant-ai-skills-standardizing-home-assistant-skills-for-ai-coding-agents/</guid><description>homeassistant-ai/skills provides a modular collection of Home Assistant skills for AI coding agents supporting the Agent Skills standard, easing integration with tools like Claude Code and Copilot.</description></item><item><title>How claude-wordpress-skills brings AI-powered WordPress code reviews to Claude Code</title><link>https://ramdi.fr/github-stars/how-claude-wordpress-skills-brings-ai-powered-wordpress-code-reviews-to-claude-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-claude-wordpress-skills-brings-ai-powered-wordpress-code-reviews-to-claude-code/</guid><description>claude-wordpress-skills packages professional WordPress engineering skills as Claude Code plugins, enabling AI-assisted performance reviews and best practice guidance via slash commands and natural language triggers.</description></item><item><title>how narratorai cli skill orchestrates ai agents for automated movie narration</title><link>https://ramdi.fr/github-stars/how-narratorai-cli-skill-orchestrates-ai-agents-for-automated-movie-narration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-narratorai-cli-skill-orchestrates-ai-agents-for-automated-movie-narration/</guid><description>NarratorAI CLI Skill uses a machine-readable SKILL.md file to enable AI agents to automate movie narration video production via a CLI tool. Supports multiple agents and rich media resources.</description></item><item><title>How opencode-power-pack bridges Claude Code workflows into OpenCode</title><link>https://ramdi.fr/github-stars/how-opencode-power-pack-bridges-claude-code-workflows-into-opencode/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-opencode-power-pack-bridges-claude-code-workflows-into-opencode/</guid><description>opencode-power-pack translates Anthropic&amp;rsquo;s Claude Code plugins into OpenCode SKILL.md files, enabling multi-agent AI coding workflows across platforms. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>How Project-Ideas-And-Resources turns project specs into coder fuel</title><link>https://ramdi.fr/github-stars/how-project-ideas-and-resources-turns-project-specs-into-coder-fuel/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-project-ideas-and-resources-turns-project-specs-into-coder-fuel/</guid><description>Project-Ideas-And-Resources offers 45+ tiered app project specs with user stories and learning links, crafting a self-directed curriculum that beats tutorial overload.</description></item><item><title>How socrates-skill turns Claude AI into a Socratic tutor with prompt engineering</title><link>https://ramdi.fr/github-stars/how-socrates-skill-turns-claude-ai-into-a-socratic-tutor-with-prompt-engineering/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-socrates-skill-turns-claude-ai-into-a-socratic-tutor-with-prompt-engineering/</guid><description>Socrates-skill transforms Claude into a Socratic tutor using a 5-step questioning workflow in a plain-text skill. Learn how prompt engineering drives guided learning without code.</description></item><item><title>html-anything: a local-first agentic HTML editor orchestrating multiple coding agents through composable skills</title><link>https://ramdi.fr/github-stars/html-anything-a-local-first-agentic-html-editor-orchestrating-multiple-coding-agents-through-composable-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/html-anything-a-local-first-agentic-html-editor-orchestrating-multiple-coding-agents-through-composable-skills/</guid><description>html-anything routes 75 composable SKILL.md templates through 8 CLI coding agents for live HTML generation streamed into a sandboxed iframe, with zero API keys required.</description></item><item><title>idea-validation-agents: markdown-driven AI venture analyst with rigorous validation scoring</title><link>https://ramdi.fr/github-stars/idea-validation-agents-markdown-driven-ai-venture-analyst-with-rigorous-validation-scoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/idea-validation-agents-markdown-driven-ai-venture-analyst-with-rigorous-validation-scoring/</guid><description>idea-validation-agents is a zero-install markdown-driven AI framework for indie devs, featuring a unique multiplicative-floor scoring system for startup idea validation workflows.</description></item><item><title>Inside AlohaMini: a Python-powered open-source mini robotic arm project</title><link>https://ramdi.fr/github-stars/inside-alohamini-a-python-powered-open-source-mini-robotic-arm-project/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-alohamini-a-python-powered-open-source-mini-robotic-arm-project/</guid><description>AlohaMini is an open-source project combining hardware and Python software to build and teleoperate a mini robotic arm. It covers 3D printing, assembly, and control.</description></item><item><title>Inside Android IMSI-Catcher Detector: Heuristic defense against rogue cell towers</title><link>https://ramdi.fr/github-stars/inside-android-imsi-catcher-detector-heuristic-defense-against-rogue-cell-towers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-android-imsi-catcher-detector-heuristic-defense-against-rogue-cell-towers/</guid><description>Android IMSI-Catcher Detector is an open-source app that uses multiple radio-layer heuristics to detect IMSI catchers (StingRays) without root access, protecting mobile users from cellular surveillance.</description></item><item><title>Inside Awesome-Vibecoding-Guide: a practical monetization playbook for AI-assisted coding</title><link>https://ramdi.fr/github-stars/inside-awesome-vibecoding-guide-a-practical-monetization-playbook-for-ai-assisted-coding/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-awesome-vibecoding-guide-a-practical-monetization-playbook-for-ai-assisted-coding/</guid><description>Awesome-Vibecoding-Guide offers a hands-on monetization playbook for AI-assisted coding, focusing on workflows and technique over tooling, with proven revenue streams and delivery standards.</description></item><item><title>Inside Claude Code's TypeScript plugin suite for AI-powered frontend workflows</title><link>https://ramdi.fr/github-stars/inside-claude-code-s-typescript-plugin-suite-for-ai-powered-frontend-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-claude-code-s-typescript-plugin-suite-for-ai-powered-frontend-workflows/</guid><description>Explore Claude Code&amp;rsquo;s TypeScript plugins offering specialized AI agents and commands for modern web development, with easy setup and workflow automation.</description></item><item><title>Inside Everything Claude Code (ECC): A multi-agent AI coding orchestration runtime evolving in Rust</title><link>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</guid><description>ECC is a performance optimization system for AI coding agents, now evolving into a Rust-based orchestration runtime managing 60 agents and 232 skills across 12 languages.</description></item><item><title>Inside Everything Claude Code (ECC): AI coding agent orchestration evolving in Rust</title><link>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-ai-coding-agent-orchestration-evolving-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-ai-coding-agent-orchestration-evolving-in-rust/</guid><description>Everything Claude Code (ECC) is a performance optimization system managing 60 AI coding agents and 232 skills across 12 languages, now evolving into a Rust-based orchestration runtime.</description></item><item><title>Inside Google Cloud AI's Agent Platform: An end-to-end operating system for enterprise AI agents</title><link>https://ramdi.fr/github-stars/inside-google-cloud-ai-s-agent-platform-an-end-to-end-operating-system-for-enterprise-ai-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-google-cloud-ai-s-agent-platform-an-end-to-end-operating-system-for-enterprise-ai-agents/</guid><description>Explore Google Cloud AI&amp;rsquo;s Agent Platform, a full-stack solution spanning foundation models, development kits, open protocols, and governance for enterprise AI agents.</description></item><item><title>Inside gtm-agents: a Claude Code marketplace for specialized GTM AI plugins</title><link>https://ramdi.fr/github-stars/inside-gtm-agents-a-claude-code-marketplace-for-specialized-gtm-ai-plugins/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-gtm-agents-a-claude-code-marketplace-for-specialized-gtm-ai-plugins/</guid><description>gtm-agents bundles 67 GTM plugins, 92 AI agents, 52 business skills, and 20 workflow orchestrators for Claude Code, saving 15+ hours/week on sales and marketing busywork.</description></item><item><title>Inside HackRF: An open-source software-defined radio platform bridging RF and embedded USB streaming</title><link>https://ramdi.fr/github-stars/inside-hackrf-an-open-source-software-defined-radio-platform-bridging-rf-and-embedded-usb-streaming/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-hackrf-an-open-source-software-defined-radio-platform-bridging-rf-and-embedded-usb-streaming/</guid><description>HackRF is a versatile open-source SDR platform offering firmware and host software in C for real-time USB 2.0 streaming and RF experimentation from 1 MHz to 6 GHz.</description></item><item><title>Inside linux-wallpaperengine: a C++ Linux wallpaper engine with OpenGL and FFmpeg</title><link>https://ramdi.fr/github-stars/inside-linux-wallpaperengine-a-c-linux-wallpaper-engine-with-opengl-and-ffmpeg/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-linux-wallpaperengine-a-c-linux-wallpaper-engine-with-opengl-and-ffmpeg/</guid><description>linux-wallpaperengine is a C++ Linux wallpaper engine leveraging OpenGL, SDL2, and FFmpeg. It requires a complex build environment but delivers dynamic wallpapers on Linux desktops.</description></item><item><title>Inside LottieViewConvert: a cross-platform Lottie to GIF and video converter powered by SkiaSharp</title><link>https://ramdi.fr/github-stars/inside-lottieviewconvert-a-cross-platform-lottie-to-gif-and-video-converter-powered-by-skiasharp/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-lottieviewconvert-a-cross-platform-lottie-to-gif-and-video-converter-powered-by-skiasharp/</guid><description>LottieViewConvert converts Lottie and Telegram TGS animations to GIF, WebP, MP4, and more using SkiaSharp&amp;rsquo;s Skottie for frame rendering and gifski/FFmpeg for encoding. Cross-platform desktop app.</description></item><item><title>Inside Mini-SGLang: A clear and modular Python LLM inference engine</title><link>https://ramdi.fr/github-stars/inside-mini-sglang-a-clear-and-modular-python-llm-inference-engine/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-mini-sglang-a-clear-and-modular-python-llm-inference-engine/</guid><description>Mini-SGLang is a modular Python reimplementation of the SGLang LLM inference engine with production features like Radix Cache, chunked prefill, overlap scheduling, and tensor parallelism.</description></item><item><title>Inside NavDP: A diffusion policy approach to mapless robot navigation with sim-to-real transfer</title><link>https://ramdi.fr/github-stars/inside-navdp-a-diffusion-policy-approach-to-mapless-robot-navigation-with-sim-to-real-transfer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-navdp-a-diffusion-policy-approach-to-mapless-robot-navigation-with-sim-to-real-transfer/</guid><description>NavDP uses a diffusion policy architecture with privileged information to achieve mapless robot navigation across simulated and real environments without real-world training data.</description></item><item><title>Inside Papermerge: an open-source OCR document management system with a scalable meta-repo architecture</title><link>https://ramdi.fr/github-stars/inside-papermerge-an-open-source-ocr-document-management-system-with-a-scalable-meta-repo-architecture/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-papermerge-an-open-source-ocr-document-management-system-with-a-scalable-meta-repo-architecture/</guid><description>Papermerge is a Python-based open-source document management system for scanned files with OCR and full-text search, using a meta-repo pattern to scale its codebase.</description></item><item><title>Inside picoagents: a transparent multi-agent system framework built from scratch in Python</title><link>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-picoagents-a-transparent-multi-agent-system-framework-built-from-scratch-in-python/</guid><description>PicoAgents is a Python multi-agent framework built from scratch, offering transparent agent orchestration, LLM provider abstraction, streaming UI, and production-ready benchmarks.</description></item><item><title>Inside pipecat-ai's Voice UI Kit: composable React components for voice AI with WebRTC</title><link>https://ramdi.fr/github-stars/inside-pipecat-ai-s-voice-ui-kit-composable-react-components-for-voice-ai-with-webrtc/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-pipecat-ai-s-voice-ui-kit-composable-react-components-for-voice-ai-with-webrtc/</guid><description>Pipecat Voice UI Kit offers React components for building voice AI interfaces with Pipecat bots, featuring render-props patterns and WebRTC transport abstraction for flexible UI control.</description></item><item><title>Inside Polymarket's BTC 15-minute trading bot: multi-signal fusion with self-learning weights</title><link>https://ramdi.fr/github-stars/inside-polymarket-s-btc-15-minute-trading-bot-multi-signal-fusion-with-self-learning-weights/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-polymarket-s-btc-15-minute-trading-bot-multi-signal-fusion-with-self-learning-weights/</guid><description>Explore a Python trading bot for Polymarket&amp;rsquo;s 15-minute BTC markets. It uses a 7-phase modular pipeline, fuses three signals, and features a self-learning weight adjustment engine.</description></item><item><title>Inside Poppy Humanoid: an open-source 3D-printed humanoid robot platform with Python control</title><link>https://ramdi.fr/github-stars/inside-poppy-humanoid-an-open-source-3d-printed-humanoid-robot-platform-with-python-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-poppy-humanoid-an-open-source-3d-printed-humanoid-robot-platform-with-python-control/</guid><description>Poppy Humanoid is an open-source 3D-printed humanoid robot controlled via Python and Jupyter Notebooks, designed for research and education in embodied cognition and sensorimotor learning.</description></item><item><title>Inside reconFTW: orchestrating 50+ security tools for automated reconnaissance</title><link>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</guid><description>reconFTW automates over 50 security tools into a unified Shell-based pipeline for penetration testers and bug bounty hunters, supporting full lifecycle recon and distributed scanning.</description></item><item><title>Inside red-run: AI agent orchestration for offensive security assessments</title><link>https://ramdi.fr/github-stars/inside-red-run-ai-agent-orchestration-for-offensive-security-assessments/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-red-run-ai-agent-orchestration-for-offensive-security-assessments/</guid><description>red-run orchestrates Claude Code AI agent teams across the full pentest kill chain using persistent teammates and semantic routing. Explore its architecture, strengths, and quickstart.</description></item><item><title>Inside the awesome-billing repo: a curated knowledge base for billing and payments engineering</title><link>https://ramdi.fr/github-stars/inside-the-awesome-billing-repo-a-curated-knowledge-base-for-billing-and-payments-engineering/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-awesome-billing-repo-a-curated-knowledge-base-for-billing-and-payments-engineering/</guid><description>The awesome-billing repo is a curated knowledge base of billing and payment resources for engineers. It maps the complexity of billing systems and monetization infrastructure.</description></item><item><title>Inside the claude-code-guide: a living CLI reference for Anthropic's Claude Code</title><link>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</guid><description>The claude-code-guide repo is a continuously auto-updated shell-based CLI reference manual for Anthropic&amp;rsquo;s Claude Code AI assistant, covering installation, MCP integration, and extensions.</description></item><item><title>Inside the hacking-online-games repository: a deep dive into online game hacking knowledge</title><link>https://ramdi.fr/github-stars/inside-the-hacking-online-games-repository-a-deep-dive-into-online-game-hacking-knowledge/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-hacking-online-games-repository-a-deep-dive-into-online-game-hacking-knowledge/</guid><description>A curated directory of decades of DEF CON talks, CTF writeups, and real-world case studies on online game hacking layers from memory to network and anti-cheat bypasses.</description></item><item><title>Inside WeatherBet: a Python trading bot for Polymarket weather markets with adaptive Kelly sizing</title><link>https://ramdi.fr/github-stars/inside-weatherbet-a-python-trading-bot-for-polymarket-weather-markets-with-adaptive-kelly-sizing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-weatherbet-a-python-trading-bot-for-polymarket-weather-markets-with-adaptive-kelly-sizing/</guid><description>Explore WeatherBet, a Python trading bot exploiting Polymarket weather markets using multi-source forecasts and self-calibrated fractional Kelly position sizing for risk management.</description></item><item><title>Inside Xalgorix: an LLM-driven autonomous pentesting platform with a 22-phase testing pipeline</title><link>https://ramdi.fr/github-stars/inside-xalgorix-an-llm-driven-autonomous-pentesting-platform-with-a-22-phase-testing-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-xalgorix-an-llm-driven-autonomous-pentesting-platform-with-a-22-phase-testing-pipeline/</guid><description>Xalgorix is a Go-based autonomous pentesting platform driven by LLMs, featuring a 22-phase methodology from recon to exploit verification, with live telemetry and reporting.</description></item><item><title>Integrating Google Workspace with AI agents via the google-docs-mcp server</title><link>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</guid><description>The google-docs-mcp server exposes Google Docs, Sheets, Drive, Gmail, and Calendar as callable tools for AI agents like Claude Desktop, enabling deep document and email automation via OAuth2.</description></item><item><title>IntellAgent: systematic adversarial testing for conversational AI with policy graph decomposition</title><link>https://ramdi.fr/github-stars/intellagent-systematic-adversarial-testing-for-conversational-ai-with-policy-graph-decomposition/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/intellagent-systematic-adversarial-testing-for-conversational-ai-with-policy-graph-decomposition/</guid><description>IntellAgent is a Python framework that stress-tests conversational AI agents by generating structured adversarial dialogues via policy graph decomposition, helping uncover blind spots before production.</description></item><item><title>IRONSIGHT: A real-time OSINT dashboard aggregating 50+ public data sources with Next.js</title><link>https://ramdi.fr/github-stars/ironsight-a-real-time-osint-dashboard-aggregating-50-public-data-sources-with-next-js/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ironsight-a-real-time-osint-dashboard-aggregating-50-public-data-sources-with-next-js/</guid><description>IRONSIGHT aggregates 50+ free public sources into a real-time OSINT dashboard with Next.js, combining military tracking, Telegram feeds, market data, and satellite info—all without API keys.</description></item><item><title>J.A.R.V.I.S: A Python voice assistant with facial recognition and persona switching</title><link>https://ramdi.fr/github-stars/j-a-r-v-i-s-a-python-voice-assistant-with-facial-recognition-and-persona-switching/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/j-a-r-v-i-s-a-python-voice-assistant-with-facial-recognition-and-persona-switching/</guid><description>J.A.R.V.I.S is a Python voice-controlled desktop assistant combining speech recognition, facial authentication, and multi-voice personas without AI models. A pre-LLM design worth exploring.</description></item><item><title>jadx-ai-mcp: enabling AI-augmented reverse engineering of Android APKs with a JADX plugin and MCP server</title><link>https://ramdi.fr/github-stars/jadx-ai-mcp-enabling-ai-augmented-reverse-engineering-of-android-apks-with-a-jadx-plugin-and-mcp-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/jadx-ai-mcp-enabling-ai-augmented-reverse-engineering-of-android-apks-with-a-jadx-plugin-and-mcp-server/</guid><description>jadx-ai-mcp combines a JADX decompiler plugin with a Python MCP server, enabling AI assistants like Claude to perform live reverse engineering on Android APKs with 30+ interactive tools.</description></item><item><title>JMusicBot: a self-hosted Java Discord music bot with multi-source audio support</title><link>https://ramdi.fr/github-stars/jmusicbot-a-self-hosted-java-discord-music-bot-with-multi-source-audio-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/jmusicbot-a-self-hosted-java-discord-music-bot-with-multi-source-audio-support/</guid><description>JMusicBot is a self-hosted Java Discord bot using lavaplayer for multi-source audio playback with minimal dependencies, requiring only a Java runtime and Discord token.</description></item><item><title>k-dense-byok: a TypeScript AI agent platform with modular data source integration</title><link>https://ramdi.fr/github-stars/k-dense-byok-a-typescript-ai-agent-platform-with-modular-data-source-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/k-dense-byok-a-typescript-ai-agent-platform-with-modular-data-source-integration/</guid><description>Explore k-dense-byok, a TypeScript project for running a configurable AI agent with local web UI and modular API integrations. Quickstart included.</description></item><item><title>KillerPDF: A lightweight, offline Windows PDF editor in a single executable</title><link>https://ramdi.fr/github-stars/killerpdf-a-lightweight-offline-windows-pdf-editor-in-a-single-executable/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/killerpdf-a-lightweight-offline-windows-pdf-editor-in-a-single-executable/</guid><description>KillerPDF is a standalone Windows PDF editor in a single ~6 MB EXE, bundling PDFium and annotation features with zero dependencies, offline and subscription-free.</description></item><item><title>Kimi-Audio: a unified hybrid-token audio foundation model with LLM core</title><link>https://ramdi.fr/github-stars/kimi-audio-a-unified-hybrid-token-audio-foundation-model-with-llm-core/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/kimi-audio-a-unified-hybrid-token-audio-foundation-model-with-llm-core/</guid><description>Kimi-Audio combines continuous acoustic and discrete semantic tokens within a 7B LLM for unified audio-text understanding and generation. It achieves state-of-the-art ASR with low-latency audio synthesis.</description></item><item><title>Kodo: orchestrating AI coding agents with a plain API orchestrator for better autonomous development</title><link>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</guid><description>Kodo is a Python multi-agent orchestration layer coordinating AI coding agents via a plain API orchestrator, improving autonomous coding accuracy by 24% over single-agent setups.</description></item><item><title>KoInsight: self-hosted KOReader analytics and sync server in one Docker container</title><link>https://ramdi.fr/github-stars/koinsight-self-hosted-koreader-analytics-and-sync-server-in-one-docker-container/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/koinsight-self-hosted-koreader-analytics-and-sync-server-in-one-docker-container/</guid><description>KoInsight is a self-hosted web dashboard and sync server for KOReader reading stats and progress, deployed via Docker with manual or automated data ingestion.</description></item><item><title>LAN Orangutan: A self-hosted network scanner with persistent device tracking and Tailscale integration</title><link>https://ramdi.fr/github-stars/lan-orangutan-a-self-hosted-network-scanner-with-persistent-device-tracking-and-tailscale-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/lan-orangutan-a-self-hosted-network-scanner-with-persistent-device-tracking-and-tailscale-integration/</guid><description>LAN Orangutan is a Go tool wrapping nmap to scan local networks with a web UI, persistent device labels, groups, and Tailscale support. A solid homelab inventory solution.</description></item><item><title>Learning autonomous mobile robots with ROS 2: a hands-on course companion</title><link>https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/</guid><description>This repo complements a ROS 2 course with hands-on C++/Python exercises, Gazebo simulation, and real robot control focusing on localization, mapping, and obstacle avoidance.</description></item><item><title>Learning C programming with hands-on projects on LabEx</title><link>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</guid><description>Explore LabEx&amp;rsquo;s curated C programming projects teaching low-level concepts through games and data structures, all in a browser playground with no setup.</description></item><item><title>linkedin_scraper: async Playwright-powered LinkedIn scraping with typed data models</title><link>https://ramdi.fr/github-stars/linkedin-scraper-async-playwright-powered-linkedin-scraping-with-typed-data-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/linkedin-scraper-async-playwright-powered-linkedin-scraping-with-typed-data-models/</guid><description>linkedin_scraper is a Python library using Playwright and async/await for structured LinkedIn scraping with typed Pydantic models, session management, and progress callbacks.</description></item><item><title>liquidGL: real-time WebGL glassmorphism on DOM elements with offscreen snapshot rendering</title><link>https://ramdi.fr/github-stars/liquidgl-real-time-webgl-glassmorphism-on-dom-elements-with-offscreen-snapshot-rendering/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/liquidgl-real-time-webgl-glassmorphism-on-dom-elements-with-offscreen-snapshot-rendering/</guid><description>liquidGL applies a real-time WebGL glassmorphism effect to fixed DOM elements by snapshotting the background with html2canvas and shader-based refraction, bypassing WebGL pixel restrictions.</description></item><item><title>LiveCaptions Translator: Real-time speech translation using Windows 11's built-in captions and LLM APIs</title><link>https://ramdi.fr/github-stars/livecaptions-translator-real-time-speech-translation-using-windows-11-s-built-in-captions-and-llm-apis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/livecaptions-translator-real-time-speech-translation-using-windows-11-s-built-in-captions-and-llm-apis/</guid><description>LiveCaptions Translator taps Windows 11&amp;rsquo;s on-device LiveCaptions for real-time speech translation via multiple LLM and traditional APIs, all in a sleek C# desktop app.</description></item><item><title>LiveTradeBench: Evaluating LLM-driven trading agents in live markets</title><link>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</guid><description>LiveTradeBench benchmarks LLM trading agents like GPT and Claude in live US equity and prediction markets with real-time news and sentiment integration.</description></item><item><title>LLM-MM-Agent: autonomous mathematical modeling with hierarchical method selection</title><link>https://ramdi.fr/github-stars/llm-mm-agent-autonomous-mathematical-modeling-with-hierarchical-method-selection/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-mm-agent-autonomous-mathematical-modeling-with-hierarchical-method-selection/</guid><description>LLM-MM-Agent uses LLMs as autonomous agents for end-to-end mathematical modeling, featuring a unique hierarchical method library with actor-critic selection. Supports GPT-4o and DeepSeek-R1.</description></item><item><title>LLM4Pentest: A curated knowledge hub on large language models for automated penetration testing</title><link>https://ramdi.fr/github-stars/llm4pentest-a-curated-knowledge-hub-on-large-language-models-for-automated-penetration-testing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm4pentest-a-curated-knowledge-hub-on-large-language-models-for-automated-penetration-testing/</guid><description>LLM4Pentest aggregates 40+ research papers and tools tracking the evolving role of LLMs in automated penetration testing, highlighting progress and limitations.</description></item><item><title>llmstxt_architect: automated generation and maintenance of llms.txt files for LLM-aware websites</title><link>https://ramdi.fr/github-stars/llmstxt-architect-automated-generation-and-maintenance-of-llms-txt-files-for-llm-aware-websites/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llmstxt-architect-automated-generation-and-maintenance-of-llms-txt-files-for-llm-aware-websites/</guid><description>llmstxt_architect automates generating and updating llms.txt files that communicate website content to LLMs. Supports multi-provider LLMs and preserves file structure during updates.</description></item><item><title>LocalSend: Secure, cross-platform LAN file sharing with on-the-fly TLS</title><link>https://ramdi.fr/github-stars/localsend-secure-cross-platform-lan-file-sharing-with-on-the-fly-tls/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/localsend-secure-cross-platform-lan-file-sharing-with-on-the-fly-tls/</guid><description>LocalSend offers secure, zero-config LAN file sharing with ephemeral TLS certificates, built with Flutter and Rust for cross-platform privacy-focused transfers.</description></item><item><title>Logitune: Direct HID++ 2.0 Control for Logitech Devices on Linux</title><link>https://ramdi.fr/github-stars/logitune-direct-hid-2-0-control-for-logitech-devices-on-linux/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/logitune-direct-hid-2-0-control-for-logitech-devices-on-linux/</guid><description>Logitune is a Linux-native tool that configures Logitech peripherals via HID++ 2.0 without daemons, supporting per-app profiles and extensibility through JSON device descriptors.</description></item><item><title>loki-mode: AI-powered autonomous software development from specs</title><link>https://ramdi.fr/github-stars/loki-mode-ai-powered-autonomous-software-development-from-specs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/loki-mode-ai-powered-autonomous-software-development-from-specs/</guid><description>loki-mode automates software builds from Markdown PRDs, GitHub issues, or OpenAPI specs using AI and a Bun-based runtime. This article explores its architecture, strengths, and quickstart.</description></item><item><title>Loong: a modular Rust infrastructure for vertical AI agents with governed kernel architecture</title><link>https://ramdi.fr/github-stars/loong-a-modular-rust-infrastructure-for-vertical-ai-agents-with-governed-kernel-architecture/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/loong-a-modular-rust-infrastructure-for-vertical-ai-agents-with-governed-kernel-architecture/</guid><description>Loong is a Rust-based AI agent framework with a modular 7-crate workspace and strict acyclic dependencies, separating contracts, security, execution, and orchestration for extensible vertical AI agents.</description></item><item><title>LuaN1aoAgent: Autonomous penetration testing with P-E-R multi-agent causal graph reasoning</title><link>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</guid><description>LuaN1aoAgent uses a P-E-R multi-agent framework and causal graph reasoning to achieve 90.4% autonomous success on penetration tests with low exploit cost. Key for AI-driven pentesting.</description></item><item><title>Lynx: modular personalized video generation with dual adapters on a frozen diffusion transformer</title><link>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</guid><description>Lynx generates personalized videos from a single image using a frozen Diffusion Transformer with ID and Ref adapters. This modular design balances fidelity and efficiency.</description></item><item><title>macai: a unified native macOS AI chat client for multiple LLM providers</title><link>https://ramdi.fr/github-stars/macai-a-unified-native-macos-ai-chat-client-for-multiple-llm-providers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/macai-a-unified-native-macos-ai-chat-client-for-multiple-llm-providers/</guid><description>macai is a native macOS AI chat client unifying access to major LLM providers with iCloud Sync and local inference support, offering a minimalist cross-device AI chat experience.</description></item><item><title>Mafl: a minimalistic, privacy-first self-hosted dashboard with YAML configuration</title><link>https://ramdi.fr/github-stars/mafl-a-minimalistic-privacy-first-self-hosted-dashboard-with-yaml-configuration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mafl-a-minimalistic-privacy-first-self-hosted-dashboard-with-yaml-configuration/</guid><description>Mafl is a lightweight, privacy-respecting self-hosted homepage and dashboard. It uses server-side proxying to avoid browser tracking and organizes services via YAML-configured interactive cards.</description></item><item><title>Maker.js: programmatic 2D vector drawing as composable, version-controlled CNC models</title><link>https://ramdi.fr/github-stars/maker-js-programmatic-2d-vector-drawing-as-composable-version-controlled-cnc-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/maker-js-programmatic-2d-vector-drawing-as-composable-version-controlled-cnc-models/</guid><description>Maker.js is a TypeScript library that treats 2D CNC designs as composable JSON models with advanced geometry and multi-format exports, enabling programmatic, version-controlled CAD.</description></item><item><title>Markdown Task Manager: a local-first Kanban with AI assistant integration</title><link>https://ramdi.fr/github-stars/markdown-task-manager-a-local-first-kanban-with-ai-assistant-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/markdown-task-manager-a-local-first-kanban-with-ai-assistant-integration/</guid><description>Markdown Task Manager turns markdown files into a local Kanban board with AI assistant integration using Claude Code skills. No server, no database, just your browser.</description></item><item><title>MarkPDFDown: converting PDFs to Markdown using vision-capable large language models</title><link>https://ramdi.fr/github-stars/markpdfdown-converting-pdfs-to-markdown-using-vision-capable-large-language-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/markpdfdown-converting-pdfs-to-markdown-using-vision-capable-large-language-models/</guid><description>MarkPDFDown is a Python CLI tool that converts PDFs and images into Markdown by using vision-capable large language models for visual recognition-based parsing, handling complex layouts and formulas.</description></item><item><title>Marky: a lightweight Tauri markdown viewer blending Rust and React for CLI-first workflows</title><link>https://ramdi.fr/github-stars/marky-a-lightweight-tauri-markdown-viewer-blending-rust-and-react-for-cli-first-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/marky-a-lightweight-tauri-markdown-viewer-blending-rust-and-react-for-cli-first-workflows/</guid><description>Marky is a sub-15MB Tauri desktop markdown viewer combining Rust backend and React frontend, designed for CLI-first workflows with live reload, syntax highlighting, math, and diagram support.</description></item><item><title>MASt3R-SLAM: integrating foundation-model 3D priors into real-time dense SLAM</title><link>https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/</guid><description>MASt3R-SLAM integrates a pretrained 3D reconstruction model as a geometry prior in a dense SLAM pipeline, enabling real-time tracking and mapping without classical bundle adjustment or depth sensors.</description></item><item><title>Mathematics-for-ML: a curated guide to the math behind machine learning</title><link>https://ramdi.fr/github-stars/mathematics-for-ml-a-curated-guide-to-the-math-behind-machine-learning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mathematics-for-ml-a-curated-guide-to-the-math-behind-machine-learning/</guid><description>Mathematics-for-ML is a curated repository aggregating key resources on the mathematical foundations of machine learning. It collects books, papers, and lectures to build strong math intuition for ML practitioners.</description></item><item><title>Matkap: Active interception of malicious Telegram bots using leaked tokens</title><link>https://ramdi.fr/github-stars/matkap-active-interception-of-malicious-telegram-bots-using-leaked-tokens/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/matkap-active-interception-of-malicious-telegram-bots-using-leaked-tokens/</guid><description>Matkap is a Python tool that hunts down malicious Telegram bots by hijacking leaked bot tokens and forwarding their messages for active threat intelligence gathering.</description></item><item><title>mcp-selenium: structured browser automation for AI agents via MCP</title><link>https://ramdi.fr/github-stars/mcp-selenium-structured-browser-automation-for-ai-agents-via-mcp/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mcp-selenium-structured-browser-automation-for-ai-agents-via-mcp/</guid><description>mcp-selenium exposes Selenium WebDriver as typed MCP tools for AI agents, supporting multi-browser automation with WebDriver BiDi diagnostics. Setup is easy with npx commands.</description></item><item><title>Meridian: a local proxy bridging Claude Code SDK and Anthropic-compatible AI tools</title><link>https://ramdi.fr/github-stars/meridian-a-local-proxy-bridging-claude-code-sdk-and-anthropic-compatible-ai-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/meridian-a-local-proxy-bridging-claude-code-sdk-and-anthropic-compatible-ai-tools/</guid><description>Meridian is a TypeScript local proxy that translates Claude Code SDK calls into an Anthropic-compatible API, enabling seamless use of Claude Max with third-party AI coding tools without OAuth hacks.</description></item><item><title>Metasploit on Android via Termux: Automating a fragile Ruby native extension patch</title><link>https://ramdi.fr/github-stars/metasploit-on-android-via-termux-automating-a-fragile-ruby-native-extension-patch/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/metasploit-on-android-via-termux-automating-a-fragile-ruby-native-extension-patch/</guid><description>Metasploit-termux automates installing Metasploit Framework on Android via Termux, fixing Ruby 3.4 Nokogiri/Gumbo native extension build issues on ARM64. Here&amp;rsquo;s how it works.</description></item><item><title>Metube: a self-hosted yt-dlp web UI with flexible multi-level download configuration</title><link>https://ramdi.fr/github-stars/metube-a-self-hosted-yt-dlp-web-ui-with-flexible-multi-level-download-configuration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/metube-a-self-hosted-yt-dlp-web-ui-with-flexible-multi-level-download-configuration/</guid><description>Metube is a self-hosted web UI for yt-dlp providing browser-based video downloading with playlist subscriptions, queuing, and a layered config system. Dockerized for easy deployment.</description></item><item><title>MicroPython: running Python 3 async/await on microcontrollers with a minimal footprint</title><link>https://ramdi.fr/github-stars/micropython-running-python-3-async-await-on-microcontrollers-with-a-minimal-footprint/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/micropython-running-python-3-async-await-on-microcontrollers-with-a-minimal-footprint/</guid><description>MicroPython brings Python 3.x with async/await to microcontrollers with as little as 256KB flash and 16KB RAM. This article explores its architecture, design tradeoffs, and how to navigate the repo.</description></item><item><title>Millennium Machines Milo v1.5: DIY desktop CNC milling with Klipper firmware and open mechanical design</title><link>https://ramdi.fr/github-stars/millennium-machines-milo-v1-5-diy-desktop-cnc-milling-with-klipper-firmware-and-open-mechanical-design/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/millennium-machines-milo-v1-5-diy-desktop-cnc-milling-with-klipper-firmware-and-open-mechanical-design/</guid><description>Millennium Machines Milo v1.5 is an open-source DIY desktop CNC mill combining 3D printed parts and Klipper firmware with CAN bus tool boards, enabling affordable aluminum and wood machining.</description></item><item><title>Mini-Wiki: AI-powered incremental wiki documentation generation with instruction-based plugins</title><link>https://ramdi.fr/github-stars/mini-wiki-ai-powered-incremental-wiki-documentation-generation-with-instruction-based-plugins/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mini-wiki-ai-powered-incremental-wiki-documentation-generation-with-instruction-based-plugins/</guid><description>Mini-Wiki enables AI agents to generate and maintain structured wiki docs from codebases incrementally, using a safe instruction-based plugin system. Supports Mermaid diagrams and multi-language output.</description></item><item><title>miniclawd: a compact multi-LLM personal AI assistant in TypeScript</title><link>https://ramdi.fr/github-stars/miniclawd-a-compact-multi-llm-personal-ai-assistant-in-typescript/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/miniclawd-a-compact-multi-llm-personal-ai-assistant-in-typescript/</guid><description>miniclawd is a ~5,900-line TypeScript AI assistant built with Bun, supporting multiple LLMs, chat channels, persistent memory, scheduling, and an extensible skill system.</description></item><item><title>MiniDexed: Bare-metal DX7 FM synthesis on Raspberry Pi with near-zero latency</title><link>https://ramdi.fr/github-stars/minidexed-bare-metal-dx7-fm-synthesis-on-raspberry-pi-with-near-zero-latency/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/minidexed-bare-metal-dx7-fm-synthesis-on-raspberry-pi-with-near-zero-latency/</guid><description>MiniDexed runs up to 8 DX7 tone generators on bare-metal Raspberry Pi, eliminating OS latency for near-zero MIDI-to-audio delay. It emulates a Yamaha TX816 in a compact setup.</description></item><item><title>Minimalist Python AI demos: exploring qxresearch-event-1's concise LLM patterns</title><link>https://ramdi.fr/github-stars/minimalist-python-ai-demos-exploring-qxresearch-event-1-s-concise-llm-patterns/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/minimalist-python-ai-demos-exploring-qxresearch-event-1-s-concise-llm-patterns/</guid><description>qxresearch-event-1 is a collection of 50+ minimalist Python apps showcasing core AI patterns like fine-tuning, vector DB, and Whisper in about 10 lines each. A practical learning resource.</description></item><item><title>ML-From-Scratch: Exploring Machine Learning Fundamentals with Pure Python and NumPy</title><link>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</guid><description>ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.</description></item><item><title>MLJobSearch2025: a compensation-driven AI employer tier list and interview prep resource</title><link>https://ramdi.fr/github-stars/mljobsearch2025-a-compensation-driven-ai-employer-tier-list-and-interview-prep-resource/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mljobsearch2025-a-compensation-driven-ai-employer-tier-list-and-interview-prep-resource/</guid><description>MLJobSearch2025 offers a curated tier list of AI employers by compensation and a rich set of ML interview questions, helping candidates targeting $300K+ roles prepare effectively.</description></item><item><title>MoeMail: a serverless, programmable temporary email service with AI agent CLI</title><link>https://ramdi.fr/github-stars/moemail-a-serverless-programmable-temporary-email-service-with-ai-agent-cli/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/moemail-a-serverless-programmable-temporary-email-service-with-ai-agent-cli/</guid><description>MoeMail is a self-hosted temporary email platform built with Next.js and Cloudflare Workers. Its agent-first CLI enables AI-driven email automation, bridging privacy and programmable email workflows.</description></item><item><title>MonoGS: monocular SLAM with 3D Gaussian splatting for real-time dense mapping and tracking</title><link>https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/</guid><description>MonoGS rethinks monocular SLAM by replacing point-cloud maps with differentiable 3D Gaussian splatting, enabling real-time dense reconstruction and camera tracking in a unified pipeline.</description></item><item><title>MTProxyMax: A Rust-Powered Telegram MTProto Proxy with Shell Script Orchestration</title><link>https://ramdi.fr/github-stars/mtproxymax-a-rust-powered-telegram-mtproto-proxy-with-shell-script-orchestration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mtproxymax-a-rust-powered-telegram-mtproto-proxy-with-shell-script-orchestration/</guid><description>MTProxyMax blends a Rust MTProto proxy core with a shell script orchestrator for Telegram proxy management, featuring FakeTLS V2 obfuscation and multi-user secrets.</description></item><item><title>NASA JPL Open Source Rover: A hands-on educational robotics platform</title><link>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</guid><description>Explore NASA JPL&amp;rsquo;s Open Source Rover, a comprehensive educational robotics platform combining hardware assembly and software control on Raspberry Pi. A practical guide for robotics enthusiasts.</description></item><item><title>native-devtools-mcp: cross-platform AI agent control of native apps with macOS accessibility precision</title><link>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</guid><description>native-devtools-mcp provides a Rust-based MCP server letting AI agents control native desktop apps on macOS/Windows, Chrome/Electron browsers, and Android devices. It features macOS AX dispatch for precise, focus-free app control.</description></item><item><title>Navigating AI learning with bishwaghimire's AI learning roadmaps</title><link>https://ramdi.fr/github-stars/navigating-ai-learning-with-bishwaghimire-s-ai-learning-roadmaps/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-ai-learning-with-bishwaghimire-s-ai-learning-roadmaps/</guid><description>A practical guide to bishwaghimire&amp;rsquo;s AI learning roadmaps repository, offering modular, career-focused paths for AI and ML self-learners, with setup essentials and a flexible curriculum.</description></item><item><title>Navigating the AI plugin explosion in Obsidian with Awesome-Obsidian-AI-Tools</title><link>https://ramdi.fr/github-stars/navigating-the-ai-plugin-explosion-in-obsidian-with-awesome-obsidian-ai-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-ai-plugin-explosion-in-obsidian-with-awesome-obsidian-ai-tools/</guid><description>Explore a curated directory listing 86 AI plugins for Obsidian, revealing the shift from cloud chatbots to privacy-focused local LLM integrations and the sprawling AI plugin landscape.</description></item><item><title>Navigating the evolving landscape of LLM-based multi-agent systems: A survey paper repository</title><link>https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/</guid><description>A curated and frequently updated bibliography accompanying the IJCAI 2024 survey paper on LLM-based multi-agent systems, organizing research into five key categories and revealing emerging trends.</description></item><item><title>Navigating the LLM engineer handbook: a curated map for production-grade language models</title><link>https://ramdi.fr/github-stars/navigating-the-llm-engineer-handbook-a-curated-map-for-production-grade-language-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-llm-engineer-handbook-a-curated-map-for-production-grade-language-models/</guid><description>The LLM Engineer Handbook catalogs the full lifecycle of large language model engineering, from pretraining to prompt management, guiding engineers beyond demos to production-ready LLM apps.</description></item><item><title>Neon Vision Editor: A Minimalist Native Swift Editor with Sandbox-Friendly CLI Integration</title><link>https://ramdi.fr/github-stars/neon-vision-editor-a-minimalist-native-swift-editor-with-sandbox-friendly-cli-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/neon-vision-editor-a-minimalist-native-swift-editor-with-sandbox-friendly-cli-integration/</guid><description>Neon Vision Editor is a native Swift code editor for macOS/iOS/iPadOS that balances minimalism with sandbox compliance via a unique CLI helper using macOS Launch Services.</description></item><item><title>NetAlertX: Containerized network asset discovery and alerting platform</title><link>https://ramdi.fr/github-stars/netalertx-containerized-network-asset-discovery-and-alerting-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/netalertx-containerized-network-asset-discovery-and-alerting-platform/</guid><description>NetAlertX is a Python-based network monitoring tool offering continuous asset discovery, IP management, and multi-channel alerts via Docker deployment.</description></item><item><title>NetFluss: macOS menubar network monitoring with router integration and DNS switching</title><link>https://ramdi.fr/github-stars/netfluss-macos-menubar-network-monitoring-with-router-integration-and-dns-switching/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/netfluss-macos-menubar-network-monitoring-with-router-integration-and-dns-switching/</guid><description>NetFluss is a Swift macOS menubar app that monitors real-time network speeds, per-app traffic, and router bandwidth with a built-in DNS switcher using a privileged helper.</description></item><item><title>Network Switch: toggling Android network modes with root and Shizuku APIs</title><link>https://ramdi.fr/github-stars/network-switch-toggling-android-network-modes-with-root-and-shizuku-apis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/network-switch-toggling-android-network-modes-with-root-and-shizuku-apis/</guid><description>Network Switch is a Kotlin Android app enabling quick toggling of 34 network modes via root or Shizuku, using Android hidden APIs for non-root devices.</description></item><item><title>Nextcloud Talk: federated self-hosted video and chat built into Nextcloud</title><link>https://ramdi.fr/github-stars/nextcloud-talk-federated-self-hosted-video-and-chat-built-into-nextcloud/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nextcloud-talk-federated-self-hosted-video-and-chat-built-into-nextcloud/</guid><description>Nextcloud Talk offers federated, self-hosted video conferencing and chat integrated tightly with Nextcloud. It supports federation, Matterbridge sync, and TURN for NAT traversal.</description></item><item><title>NomAI: a multi-step AI nutrition analysis app combining Flutter and FastAPI</title><link>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</guid><description>NomAI combines a Flutter app with a FastAPI backend using a multi-step LLM pipeline and web-grounded reasoning for nutrition analysis and meal tracking.</description></item><item><title>nomore403: automated HTTP 403 bypass testing with heuristic scoring in Go</title><link>https://ramdi.fr/github-stars/nomore403-automated-http-403-bypass-testing-with-heuristic-scoring-in-go/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nomore403-automated-http-403-bypass-testing-with-heuristic-scoring-in-go/</guid><description>nomore403 is a Go CLI tool for security researchers automating HTTP 403/401 bypass testing with heuristic scoring to flag likely bypasses and reduce false positives.</description></item><item><title>Nougat: Vision Transformer OCR for academic PDFs extracting LaTeX math and tables</title><link>https://ramdi.fr/github-stars/nougat-vision-transformer-ocr-for-academic-pdfs-extracting-latex-math-and-tables/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nougat-vision-transformer-ocr-for-academic-pdfs-extracting-latex-math-and-tables/</guid><description>Nougat is Meta&amp;rsquo;s neural OCR system for academic PDFs, extracting LaTeX math and tables into structured Markdown using a Vision Transformer encoder-decoder. It offers CLI, API, and training tools.</description></item><item><title>npcpy: enforcing AI behavioral compliance through architecture for multimodal LLM apps</title><link>https://ramdi.fr/github-stars/npcpy-enforcing-ai-behavioral-compliance-through-architecture-for-multimodal-llm-apps/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/npcpy-enforcing-ai-behavioral-compliance-through-architecture-for-multimodal-llm-apps/</guid><description>npcpy offers a unique NPC Context-Agent-Tool data layer to enforce AI compliance via software architecture, supporting multimodal LLM apps and multi-agent systems with local and cloud providers.</description></item><item><title>obsidian-llm-wiki-local: local-first AI-powered wiki generation with human-in-the-loop feedback</title><link>https://ramdi.fr/github-stars/obsidian-llm-wiki-local-local-first-ai-powered-wiki-generation-with-human-in-the-loop-feedback/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/obsidian-llm-wiki-local-local-first-ai-powered-wiki-generation-with-human-in-the-loop-feedback/</guid><description>obsidian-llm-wiki-local generates interlinked Obsidian markdown wikis using local LLMs. Its standout feature is a rejection feedback loop that refines article quality via user input.</description></item><item><title>OCRFlux: GPU-Accelerated OCR with Python for High-Performance Document Processing</title><link>https://ramdi.fr/github-stars/ocrflux-gpu-accelerated-ocr-with-python-for-high-performance-document-processing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ocrflux-gpu-accelerated-ocr-with-python-for-high-performance-document-processing/</guid><description>OCRFlux is a Python OCR tool optimized for NVIDIA GPUs, enabling fast, high-quality OCR on documents using a conda environment and poppler-utils for PDF rendering.</description></item><item><title>oh-my-product: multi-agent orchestration for Google's Gemini CLI via tmux</title><link>https://ramdi.fr/github-stars/oh-my-product-multi-agent-orchestration-for-google-s-gemini-cli-via-tmux/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/oh-my-product-multi-agent-orchestration-for-google-s-gemini-cli-via-tmux/</guid><description>oh-my-product extends Google&amp;rsquo;s Gemini CLI with multi-agent orchestration using tmux and slash commands for parallel AI workflows, offering persistent state and lifecycle controls.</description></item><item><title>Olive: an open-source GPU-accelerated non-linear video editor with node-based compositing</title><link>https://ramdi.fr/github-stars/olive-an-open-source-gpu-accelerated-non-linear-video-editor-with-node-based-compositing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/olive-an-open-source-gpu-accelerated-non-linear-video-editor-with-node-based-compositing/</guid><description>Olive blends a traditional timeline NLE with a node-based compositing system in C++, offering GPU-accelerated rendering and professional color management via OpenColorIO. Currently in alpha.</description></item><item><title>OmniGen2: a unified multimodal generation model with separate decoding paths for text and images</title><link>https://ramdi.fr/github-stars/omnigen2-a-unified-multimodal-generation-model-with-separate-decoding-paths-for-text-and-images/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/omnigen2-a-unified-multimodal-generation-model-with-separate-decoding-paths-for-text-and-images/</guid><description>OmniGen2 unifies visual understanding, text-to-image generation, and image editing using distinct decoding pathways for text and images, built on Qwen-VL-2.5 with CPU offloading for accessibility.</description></item><item><title>OmniVoice Studio: a local-first multi-engine voice cloning and dubbing platform with MCP server integration</title><link>https://ramdi.fr/github-stars/omnivoice-studio-a-local-first-multi-engine-voice-cloning-and-dubbing-platform-with-mcp-server-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/omnivoice-studio-a-local-first-multi-engine-voice-cloning-and-dubbing-platform-with-mcp-server-integration/</guid><description>OmniVoice Studio is a local desktop app offering zero-shot voice cloning, multi-engine TTS, and video dubbing with GPU-aware offloading and an MCP server for agentic AI integration.</description></item><item><title>Onefetch: A fast, offline Git repository information tool in Rust</title><link>https://ramdi.fr/github-stars/onefetch-a-fast-offline-git-repository-information-tool-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/onefetch-a-fast-offline-git-repository-information-tool-in-rust/</guid><description>Onefetch is a Rust CLI tool that analyzes local Git repos offline, showing project stats with multi-language support and custom output formats. Here&amp;rsquo;s how it works.</description></item><item><title>opcode: a Tauri desktop app turning Claude Code CLI into a graphical AI developer cockpit</title><link>https://ramdi.fr/github-stars/opcode-a-tauri-desktop-app-turning-claude-code-cli-into-a-graphical-ai-developer-cockpit/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opcode-a-tauri-desktop-app-turning-claude-code-cli-into-a-graphical-ai-developer-cockpit/</guid><description>opcode is a cross-platform Tauri desktop app that wraps Claude Code CLI with a GUI, session checkpointing, custom AI agents, MCP server management, and usage analytics.</description></item><item><title>Open Computer Use: orchestrating multi-model LLM pipelines for remote Linux desktop control</title><link>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-model-llm-pipelines-for-remote-linux-desktop-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-model-llm-pipelines-for-remote-linux-desktop-control/</guid><description>Open Computer Use uses a modular three-stage LLM pipeline to control a cloud Linux desktop, combining grounding, vision, and action models for flexible AI-driven automation.</description></item><item><title>Open Photo AI: An open-source cross-platform desktop app for AI-powered photo enhancement</title><link>https://ramdi.fr/github-stars/open-photo-ai-an-open-source-cross-platform-desktop-app-for-ai-powered-photo-enhancement/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-photo-ai-an-open-source-cross-platform-desktop-app-for-ai-powered-photo-enhancement/</guid><description>Open Photo AI is an open-source desktop app using ONNX AI models for photo enhancement with a unique model selection system and autopilot mode. It supports Windows, macOS, and Linux.</description></item><item><title>OpenAgents: orchestrating multi-agent LLM workflows with Flask and Next.js</title><link>https://ramdi.fr/github-stars/openagents-orchestrating-multi-agent-llm-workflows-with-flask-and-next-js/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openagents-orchestrating-multi-agent-llm-workflows-with-flask-and-next-js/</guid><description>OpenAgents hosts three specialized LLM agents—Data, Plugins, Web—via a Flask API and Next.js UI, integrating sandboxed code execution, plugin selection, and browser automation.</description></item><item><title>OpenAgentsControl: pattern-aware, approval-gated AI agents for reliable code generation</title><link>https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/</guid><description>OpenAgentsControl enforces plan-first, approval-gated AI code generation using a multi-agent pipeline and context-aware pattern loading to produce consistent, project-specific code across TypeScript, Python, Go, and Rust.</description></item><item><title>OpenAlgo: unified multi-broker algo trading platform with Python and no-code flows</title><link>https://ramdi.fr/github-stars/openalgo-unified-multi-broker-algo-trading-platform-with-python-and-no-code-flows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openalgo-unified-multi-broker-algo-trading-platform-with-python-and-no-code-flows/</guid><description>OpenAlgo offers a self-hosted algo trading platform with unified API for 30+ Indian brokers, Python strategy hosting, no-code flow builder, and options analytics — all sharing live sessions.</description></item><item><title>OpenAnt: An LLM-powered two-stage vulnerability discovery tool with exploit validation</title><link>https://ramdi.fr/github-stars/openant-an-llm-powered-two-stage-vulnerability-discovery-tool-with-exploit-validation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openant-an-llm-powered-two-stage-vulnerability-discovery-tool-with-exploit-validation/</guid><description>OpenAnt uses a two-stage LLM pipeline to detect and validate code vulnerabilities across multiple languages, reducing false positives by verifying exploits automatically.</description></item><item><title>OpenBoard: A cross-platform interactive whiteboard with embedded web widgets for classrooms</title><link>https://ramdi.fr/github-stars/openboard-a-cross-platform-interactive-whiteboard-with-embedded-web-widgets-for-classrooms/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openboard-a-cross-platform-interactive-whiteboard-with-embedded-web-widgets-for-classrooms/</guid><description>OpenBoard is a C++/Qt-based interactive whiteboard supporting Windows, macOS, and Debian. It embeds web widgets for interactive teaching, with community-driven translations.</description></item><item><title>OpenChronicle: an AX-first local memory layer for LLM agents</title><link>https://ramdi.fr/github-stars/openchronicle-an-ax-first-local-memory-layer-for-llm-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openchronicle-an-ax-first-local-memory-layer-for-llm-agents/</guid><description>OpenChronicle captures macOS accessibility events to build structured local memory for LLM agents. Its async pipeline produces persistent Markdown memory and an SQLite index.</description></item><item><title>OpenClaw Agents: orchestrating adversarial AI agents with shell-driven provisioning</title><link>https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/</guid><description>OpenClaw Agents deploys paired AI agents using shell scripts for adversarial collaboration in OpenClaw gateway, supporting multi-channel or local workflows with safe config merges.</description></item><item><title>OpenClaw: a SwiftUI iOS app for real-time voice AI and media management</title><link>https://ramdi.fr/github-stars/openclaw-a-swiftui-ios-app-for-real-time-voice-ai-and-media-management/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-a-swiftui-ios-app-for-real-time-voice-ai-and-media-management/</guid><description>OpenClaw is a native iOS SwiftUI app integrating real-time voice AI conversations, audiobooks, podcasts, and academic paper management with ElevenLabs Conversational AI and WebRTC.</description></item><item><title>OpenDirectory: A modular skills library for AI agents with targeted installation</title><link>https://ramdi.fr/github-stars/opendirectory-a-modular-skills-library-for-ai-agents-with-targeted-installation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opendirectory-a-modular-skills-library-for-ai-agents-with-targeted-installation/</guid><description>OpenDirectory provides a Python-based collection of AI agent skills with an npm CLI for browsing and installing skills targeted at specific AI agents like Claude Code or Codex.</description></item><item><title>OpenDrop: reverse-engineering Apple's AirDrop for cross-platform file sharing</title><link>https://ramdi.fr/github-stars/opendrop-reverse-engineering-apple-s-airdrop-for-cross-platform-file-sharing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opendrop-reverse-engineering-apple-s-airdrop-for-cross-platform-file-sharing/</guid><description>OpenDrop is a Python CLI tool that reverse-engineers Apple&amp;rsquo;s AirDrop protocol, enabling file sharing with iOS/macOS devices over AWDL. It supports sending files, URLs, and contacts-only mode on macOS/Linux.</description></item><item><title>OpenEverest: Bringing self-service DBaaS to any Kubernetes cluster</title><link>https://ramdi.fr/github-stars/openeverest-bringing-self-service-dbaas-to-any-kubernetes-cluster/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openeverest-bringing-self-service-dbaas-to-any-kubernetes-cluster/</guid><description>OpenEverest layers a unified UI and CLI over Percona Kubernetes operators for PostgreSQL, MySQL, and MongoDB, enabling self-service DBaaS on any Kubernetes cluster.</description></item><item><title>OpenGuider: a modular, voice-first AI assistant with local-first privacy and plugin-driven automation</title><link>https://ramdi.fr/github-stars/openguider-a-modular-voice-first-ai-assistant-with-local-first-privacy-and-plugin-driven-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openguider-a-modular-voice-first-ai-assistant-with-local-first-privacy-and-plugin-driven-automation/</guid><description>OpenGuider is an Electron desktop AI assistant with multi-LLM support, voice interaction, and a plugin system including browser automation. It balances local-first privacy with flexible AI workflows.</description></item><item><title>OpenKoto: A privacy-focused AI-powered desktop language learning app with Tauri and Rust</title><link>https://ramdi.fr/github-stars/openkoto-a-privacy-focused-ai-powered-desktop-language-learning-app-with-tauri-and-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openkoto-a-privacy-focused-ai-powered-desktop-language-learning-app-with-tauri-and-rust/</guid><description>OpenKoto is an AI-powered desktop language learning app built with Tauri, React, and Rust, offering local processing for privacy and native performance across 100+ languages.</description></item><item><title>OpenMonoAgent.ai: a local-first AI coding agent with a resilient 12-step execution pipeline</title><link>https://ramdi.fr/github-stars/openmonoagent-ai-a-local-first-ai-coding-agent-with-a-resilient-12-step-execution-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openmonoagent-ai-a-local-first-ai-coding-agent-with-a-resilient-12-step-execution-pipeline/</guid><description>OpenMonoAgent.ai offers a local-first AI coding agent on .NET with a unique 12-step pipeline featuring doom-loop detection, 5 sub-agents, and Docker sandboxing for offline, reliable coding assistance.</description></item><item><title>OpenNutriTracker: a privacy-first calorie tracker built in Flutter with local encrypted storage</title><link>https://ramdi.fr/github-stars/opennutritracker-a-privacy-first-calorie-tracker-built-in-flutter-with-local-encrypted-storage/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opennutritracker-a-privacy-first-calorie-tracker-built-in-flutter-with-local-encrypted-storage/</guid><description>OpenNutriTracker is a Flutter/Dart mobile app for nutrition tracking with local encrypted storage and barcode scanning, emphasizing privacy and offline-first design.</description></item><item><title>OpenSim-core: a C++ musculoskeletal simulation engine with Python and Java bindings</title><link>https://ramdi.fr/github-stars/opensim-core-a-c-musculoskeletal-simulation-engine-with-python-and-java-bindings/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opensim-core-a-c-musculoskeletal-simulation-engine-with-python-and-java-bindings/</guid><description>OpenSim-core is an open-source C++ library for musculoskeletal modeling and dynamic simulations, with Python and Java bindings for scripting complex biomechanics analyses.</description></item><item><title>OpenUI: a visual canvas for managing multiple AI agents with real-time status and session persistence</title><link>https://ramdi.fr/github-stars/openui-a-visual-canvas-for-managing-multiple-ai-agents-with-real-time-status-and-session-persistence/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openui-a-visual-canvas-for-managing-multiple-ai-agents-with-real-time-status-and-session-persistence/</guid><description>OpenUI provides a TypeScript CLI and browser UI to spawn, organize, and monitor multiple AI agents with session persistence and real-time status. Easy to start and extend.</description></item><item><title>OpenUsage: a terminal dashboard for AI coding tool usage tracking via local SQLite scraping</title><link>https://ramdi.fr/github-stars/openusage-a-terminal-dashboard-for-ai-coding-tool-usage-tracking-via-local-sqlite-scraping/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openusage-a-terminal-dashboard-for-ai-coding-tool-usage-tracking-via-local-sqlite-scraping/</guid><description>OpenUsage is a Go TUI tool that tracks AI coding tool usage and spend across 17 providers by scraping local SQLite DBs, offering zero-config, cross-provider cost visibility in your terminal.</description></item><item><title>OpenUtter: a headless Google Meet bot skill for the OpenClaw AI agent framework</title><link>https://ramdi.fr/github-stars/openutter-a-headless-google-meet-bot-skill-for-the-openclaw-ai-agent-framework/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openutter-a-headless-google-meet-bot-skill-for-the-openclaw-ai-agent-framework/</guid><description>OpenUtter is a headless Google Meet bot skill for OpenClaw, capturing live captions as timestamped transcripts via headless Chromium automation. It supports guest and authenticated joins with retry logic.</description></item><item><title>OpsKat: AI-first secure infrastructure management with policy-enforced AI agents</title><link>https://ramdi.fr/github-stars/opskat-ai-first-secure-infrastructure-management-with-policy-enforced-ai-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/opskat-ai-first-secure-infrastructure-management-with-policy-enforced-ai-agents/</guid><description>OpsKat is a desktop app blending AI agents with secure, policy-enforced remote infrastructure control across SSH, databases, and Kafka. It bridges AI coding assistants to production safely.</description></item><item><title>OptiLLM: transparent inference-time scaling for improved LLM reasoning</title><link>https://ramdi.fr/github-stars/optillm-transparent-inference-time-scaling-for-improved-llm-reasoning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/optillm-transparent-inference-time-scaling-for-improved-llm-reasoning/</guid><description>OptiLLM is an OpenAI-compatible inference proxy that boosts LLM reasoning with 20+ techniques like Mixture of Agents and MCTS, requiring no model retraining. Use a simple prefix to improve accuracy 2-10x.</description></item><item><title>orchestrator-supaconductor: AI-driven project orchestration plugin for Claude Code</title><link>https://ramdi.fr/github-stars/orchestrator-supaconductor-ai-driven-project-orchestration-plugin-for-claude-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/orchestrator-supaconductor-ai-driven-project-orchestration-plugin-for-claude-code/</guid><description>orchestrator-supaconductor is a Python plugin for Claude Code that automates software project workflows via natural language commands, managing sprints, coding, and testing interactively.</description></item><item><title>Organize: YAML-driven file management automation with Python CLI</title><link>https://ramdi.fr/github-stars/organize-yaml-driven-file-management-automation-with-python-cli/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/organize-yaml-driven-file-management-automation-with-python-cli/</guid><description>Organize is a Python CLI tool enabling complex file automation through YAML-defined rules. It supports filters by extension, EXIF, content, and actions like move or rename, plus a safe simulation mode.</description></item><item><title>Ori-Mnemos: scoped memory management for AI agents in TypeScript</title><link>https://ramdi.fr/github-stars/ori-mnemos-scoped-memory-management-for-ai-agents-in-typescript/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ori-mnemos-scoped-memory-management-for-ai-agents-in-typescript/</guid><description>Ori-Mnemos provides a TypeScript CLI tool for managing AI agent memory with scoped vaults and activation modes, enabling persistent and flexible context handling.</description></item><item><title>Osintgraph: AI-driven Instagram OSINT with Neo4j graph analysis</title><link>https://ramdi.fr/github-stars/osintgraph-ai-driven-instagram-osint-with-neo4j-graph-analysis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/osintgraph-ai-driven-instagram-osint-with-neo4j-graph-analysis/</guid><description>Osintgraph scrapes Instagram data into Neo4j and uses an AI agent for natural language investigation, enabling graph-based OSINT workflows with AI-powered querying and visualization.</description></item><item><title>OSSU Data Science: A curriculum-as-code approach to self-taught data science education</title><link>https://ramdi.fr/github-stars/ossu-data-science-a-curriculum-as-code-approach-to-self-taught-data-science-education/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ossu-data-science-a-curriculum-as-code-approach-to-self-taught-data-science-education/</guid><description>OSSU Data Science offers a fully open-source, GitHub-based undergraduate curriculum using free courses from top universities. Track progress with GitHub checkboxes over an estimated two-year timeline.</description></item><item><title>otel-gui: a zero-config OpenTelemetry trace viewer with built-in OTLP collector</title><link>https://ramdi.fr/github-stars/otel-gui-a-zero-config-opentelemetry-trace-viewer-with-built-in-otlp-collector/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/otel-gui-a-zero-config-opentelemetry-trace-viewer-with-built-in-otlp-collector/</guid><description>otel-gui is a lightweight OpenTelemetry trace viewer and OTLP collector replacement that provides real-time trace visualization with zero configuration.</description></item><item><title>OverlapNet: Siamese networks for loop closure detection in 3D LiDAR SLAM</title><link>https://ramdi.fr/github-stars/overlapnet-siamese-networks-for-loop-closure-detection-in-3d-lidar-slam/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/overlapnet-siamese-networks-for-loop-closure-detection-in-3d-lidar-slam/</guid><description>OverlapNet uses Siamese networks on 2D range images from 3D LiDAR to detect loop closures by predicting overlap and relative yaw angle simultaneously. Practical demos included.</description></item><item><title>pai: a portable, privacy-first Debian live USB OS for offline AI work</title><link>https://ramdi.fr/github-stars/pai-a-portable-privacy-first-debian-live-usb-os-for-offline-ai-work/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pai-a-portable-privacy-first-debian-live-usb-os-for-offline-ai-work/</guid><description>pai is a bootable Debian 12 live USB OS optimized for offline AI inference with Ollama, running entirely in RAM with privacy features and minimal footprint.</description></item><item><title>Paper2Any: multi-modal AI pipeline converting academic papers into editable scientific artifacts</title><link>https://ramdi.fr/github-stars/paper2any-multi-modal-ai-pipeline-converting-academic-papers-into-editable-scientific-artifacts/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2any-multi-modal-ai-pipeline-converting-academic-papers-into-editable-scientific-artifacts/</guid><description>Paper2Any uses chained LLM calls with structured output to convert academic papers into editable scientific figures, slides, and diagrams via a FastAPI backend and React frontend.</description></item><item><title>paperetl: a modular ETL pipeline for scientific papers with multi-format ingestion and unified schema</title><link>https://ramdi.fr/github-stars/paperetl-a-modular-etl-pipeline-for-scientific-papers-with-multi-format-ingestion-and-unified-schema/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/paperetl-a-modular-etl-pipeline-for-scientific-papers-with-multi-format-ingestion-and-unified-schema/</guid><description>paperetl is a Python ETL library that normalizes PDFs, PubMed, arXiv, TEI, and CSV metadata into a unified article schema, supporting SQLite, JSON, YAML, and Elasticsearch storage.</description></item><item><title>Paperweight: local-first email footprint scanner with automated privacy actions</title><link>https://ramdi.fr/github-stars/paperweight-local-first-email-footprint-scanner-with-automated-privacy-actions/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/paperweight-local-first-email-footprint-scanner-with-automated-privacy-actions/</guid><description>Paperweight scans your email locally to map digital footprints and automate unsubscribe and GDPR deletion requests, all without sending data externally. Supports major providers with privacy-focused design.</description></item><item><title>Parrot: a privacy-first offline AI text-to-speech desktop app with Rust and Bun</title><link>https://ramdi.fr/github-stars/parrot-a-privacy-first-offline-ai-text-to-speech-desktop-app-with-rust-and-bun/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/parrot-a-privacy-first-offline-ai-text-to-speech-desktop-app-with-rust-and-bun/</guid><description>Parrot is a Rust and Bun-powered offline AI text-to-speech app using Kokoro-82M model, streaming audio playback before synthesis completes. Supports 54 voices, 9 languages, fully private and GPU-free.</description></item><item><title>Parsing bank statements with monopoly-core: a per-bank parser approach in Python</title><link>https://ramdi.fr/github-stars/parsing-bank-statements-with-monopoly-core-a-per-bank-parser-approach-in-python/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/parsing-bank-statements-with-monopoly-core-a-per-bank-parser-approach-in-python/</guid><description>Monopoly-core is a Python library and CLI for converting bank statement PDFs to CSV using per-bank parser classes. It supports 20+ banks, OCR, and safety checks.</description></item><item><title>PartCrafter: compositional 3D mesh generation with latent diffusion transformers</title><link>https://ramdi.fr/github-stars/partcrafter-compositional-3d-mesh-generation-with-latent-diffusion-transformers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/partcrafter-compositional-3d-mesh-generation-with-latent-diffusion-transformers/</guid><description>PartCrafter generates multiple semantically distinct 3D mesh parts from a single RGB image using latent diffusion transformers, enabling structured 3D generation with pretrained models and VLM-based part suggestions.</description></item><item><title>Pattern Craft: A curated Tailwind CSS background pattern library for React and Next.js</title><link>https://ramdi.fr/github-stars/pattern-craft-a-curated-tailwind-css-background-pattern-library-for-react-and-next-js/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pattern-craft-a-curated-tailwind-css-background-pattern-library-for-react-and-next-js/</guid><description>Pattern Craft offers 100+ copy-paste JSX background patterns and gradients optimized for React and Next.js with Tailwind CSS. Zero dependencies, live previews, and easy integration.</description></item><item><title>PatternsDev Skills: agent-optimized design and performance patterns for AI coding assistants</title><link>https://ramdi.fr/github-stars/patternsdev-skills-agent-optimized-design-and-performance-patterns-for-ai-coding-assistants/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/patternsdev-skills-agent-optimized-design-and-performance-patterns-for-ai-coding-assistants/</guid><description>PatternsDev Skills offers 58 agent-friendly design and performance pattern guides for JavaScript, React, and Vue, optimized for AI coding assistants with selective CLI installation.</description></item><item><title>pdf-document-layout-analysis: a dual-model PDF layout analysis microservice with Docker deployment</title><link>https://ramdi.fr/github-stars/pdf-document-layout-analysis-a-dual-model-pdf-layout-analysis-microservice-with-docker-deployment/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pdf-document-layout-analysis-a-dual-model-pdf-layout-analysis-microservice-with-docker-deployment/</guid><description>pdf-document-layout-analysis is a Dockerized microservice using Vision Grid Transformer and LightGBM for PDF layout analysis, offering high accuracy or fast processing with OCR, translation, and multi-format export.</description></item><item><title>pentest-agents: a cross-IDE autonomous bug bounty framework with multi-agent AI</title><link>https://ramdi.fr/github-stars/pentest-agents-a-cross-ide-autonomous-bug-bounty-framework-with-multi-agent-ai/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pentest-agents-a-cross-ide-autonomous-bug-bounty-framework-with-multi-agent-ai/</guid><description>pentest-agents deploys 50 specialized AI agents across 7 coding tools with a multi-IDE portability layer, autonomous exploit chains, endpoint brain, and MCP servers for bug bounty hunting.</description></item><item><title>Person Tracker Card for Home Assistant: Visualizing Presence with a Custom Dashboard Card</title><link>https://ramdi.fr/github-stars/person-tracker-card-for-home-assistant-visualizing-presence-with-a-custom-dashboard-card/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/person-tracker-card-for-home-assistant-visualizing-presence-with-a-custom-dashboard-card/</guid><description>Person Tracker Card is a Home Assistant custom card that visualizes person entities with companion app sensors and dynamic layouts. Easy install via HACS or manual steps.</description></item><item><title>Phosphor: an open-source iOS device manager with dual backends and zero dependencies</title><link>https://ramdi.fr/github-stars/phosphor-an-open-source-ios-device-manager-with-dual-backends-and-zero-dependencies/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/phosphor-an-open-source-ios-device-manager-with-dual-backends-and-zero-dependencies/</guid><description>Phosphor offers macOS users a free, SwiftUI-based iOS device manager leveraging pymobiledevice3 and libimobiledevice backends. It handles backups, file browsing, and exports without subscriptions.</description></item><item><title>PHPMailer: The PHP email library that simplifies complex SMTP and MIME handling</title><link>https://ramdi.fr/github-stars/phpmailer-the-php-email-library-that-simplifies-complex-smtp-and-mime-handling/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/phpmailer-the-php-email-library-that-simplifies-complex-smtp-and-mime-handling/</guid><description>PHPMailer abstracts complex email sending protocols behind a simple PHP API, supporting SMTP, MIME, DKIM, and multiple auth methods with decades of proven reliability.</description></item><item><title>Pixal3D: pixel-aligned 3D asset generation from a single image with projection conditioning</title><link>https://ramdi.fr/github-stars/pixal3d-pixel-aligned-3d-asset-generation-from-a-single-image-with-projection-conditioning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pixal3d-pixel-aligned-3d-asset-generation-from-a-single-image-with-projection-conditioning/</guid><description>Pixal3D generates high-fidelity 3D assets with PBR textures from a single image using pixel-aligned projection conditioning. It offers a three-stage cascade and low-VRAM mode for consumer GPUs.</description></item><item><title>pm-claude-skills: modular professional workflows as Claude AI skills in markdown</title><link>https://ramdi.fr/github-stars/pm-claude-skills-modular-professional-workflows-as-claude-ai-skills-in-markdown/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/pm-claude-skills-modular-professional-workflows-as-claude-ai-skills-in-markdown/</guid><description>pm-claude-skills is a large open-source library of 135 markdown skills for Claude AI, spanning 16 professions and multi-agent templates with data connectors for automated workflows.</description></item><item><title>Portracker: lightweight peer-to-peer port monitoring with secure Docker integration</title><link>https://ramdi.fr/github-stars/portracker-lightweight-peer-to-peer-port-monitoring-with-secure-docker-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/portracker-lightweight-peer-to-peer-port-monitoring-with-secure-docker-integration/</guid><description>Portracker automates port monitoring across hosts using peer-to-peer federation, Docker socket proxy for secure access, and embedded SQLite for zero external dependencies.</description></item><item><title>PrismerCloud: a self-hosted AI cloud platform with TypeScript SDK and zero external dependencies</title><link>https://ramdi.fr/github-stars/prismercloud-a-self-hosted-ai-cloud-platform-with-typescript-sdk-and-zero-external-dependencies/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/prismercloud-a-self-hosted-ai-cloud-platform-with-typescript-sdk-and-zero-external-dependencies/</guid><description>PrismerCloud offers a standalone AI cloud platform written in TypeScript, featuring built-in messaging, task management, and a comprehensive SDK for easy integration. Self-host with Docker or install quickly via script.</description></item><item><title>Prompt-Engineering-Jumpstart: a practical, pattern-based guide to mastering prompt engineering fundamentals</title><link>https://ramdi.fr/github-stars/prompt-engineering-jumpstart-a-practical-pattern-based-guide-to-mastering-prompt-engineering-fundamentals/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/prompt-engineering-jumpstart-a-practical-pattern-based-guide-to-mastering-prompt-engineering-fundamentals/</guid><description>Prompt-Engineering-Jumpstart is an open-source eBook teaching 14 core prompt engineering patterns with practical examples, aimed at non-technical AI users and emphasizing universal AI interaction grammar.</description></item><item><title>ProxmoxMCP-Plus: A Python toolset for advanced Proxmox MCP protocol interaction</title><link>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</guid><description>ProxmoxMCP-Plus is a Python-based toolset enabling advanced interaction with Proxmox VE via MCP protocol. It offers flexible config and runtime modes for sysadmins and devs.</description></item><item><title>QSTrader: a modular, schedule-driven Python framework for systematic equity backtesting</title><link>https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/</guid><description>QSTrader offers a modular Python backtesting framework for long-short equity strategies using daily OHLC data and calendar-driven rebalancing. Its clean separation of signal, portfolio, and execution components stands out.</description></item><item><title>ReasoningBank: Experience-Driven Memory as a New Scaling Dimension for AI Agents</title><link>https://ramdi.fr/github-stars/reasoningbank-experience-driven-memory-as-a-new-scaling-dimension-for-ai-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/reasoningbank-experience-driven-memory-as-a-new-scaling-dimension-for-ai-agents/</guid><description>ReasoningBank introduces memory-aware test-time scaling for AI agents by storing reasoning traces from both successes and failures, enabling self-evolution through experience.</description></item><item><title>Remindian: precise two-way sync between Obsidian tasks and major macOS task managers</title><link>https://ramdi.fr/github-stars/remindian-precise-two-way-sync-between-obsidian-tasks-and-major-macos-task-managers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/remindian-precise-two-way-sync-between-obsidian-tasks-and-major-macos-task-managers/</guid><description>Remindian is a native macOS menu bar app that syncs Obsidian tasks bidirectionally with Apple Reminders, Things 3, Todoist, and TickTick, using surgical edits that preserve metadata.</description></item><item><title>reverse-engineering apple's asset catalog format with asset catalog tinkerer</title><link>https://ramdi.fr/github-stars/reverse-engineering-apple-s-asset-catalog-format-with-asset-catalog-tinkerer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/reverse-engineering-apple-s-asset-catalog-format-with-asset-catalog-tinkerer/</guid><description>Asset Catalog Tinkerer is a macOS app that parses Apple&amp;rsquo;s proprietary .car files, letting developers browse and extract images from compiled asset catalogs with a native Swift GUI.</description></item><item><title>Reverse-engineering Claude Code: an open-source playbook for AI coding agent prompts</title><link>https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/reverse-engineering-claude-code-an-open-source-playbook-for-ai-coding-agent-prompts/</guid><description>This repo reverse-engineers Claude Code&amp;rsquo;s AI coding agent prompts into reusable templates covering safety, tool routing, multi-agent coordination, and memory management for practical prompt engineering.</description></item><item><title>roach-pi: an AI agent extension for the pi shell to streamline task execution</title><link>https://ramdi.fr/github-stars/roach-pi-an-ai-agent-extension-for-the-pi-shell-to-streamline-task-execution/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/roach-pi-an-ai-agent-extension-for-the-pi-shell-to-streamline-task-execution/</guid><description>roach-pi is a TypeScript-based AI agent extension for the pi shell, enabling disciplined task planning and execution with simple CLI commands. Designed for developers leveraging AI workflows.</description></item><item><title>Running full Ubuntu desktop environments on Android without root using udroid</title><link>https://ramdi.fr/github-stars/running-full-ubuntu-desktop-environments-on-android-without-root-using-udroid/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-full-ubuntu-desktop-environments-on-android-without-root-using-udroid/</guid><description>udroid uses Termux and PRoot to run full Ubuntu desktops (XFCE4, MATE, GNOME) on Android devices without root access, enabling portable Linux workstations on mobile hardware.</description></item><item><title>SafestClaw: a deterministic AI assistant with classical ML pipelines for local, secure, and zero-cost operation</title><link>https://ramdi.fr/github-stars/safestclaw-a-deterministic-ai-assistant-with-classical-ml-pipelines-for-local-secure-and-zero-cost-operation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/safestclaw-a-deterministic-ai-assistant-with-classical-ml-pipelines-for-local-secure-and-zero-cost-operation/</guid><description>SafestClaw uses classical ML pipelines and local AI models to deliver 90% of OpenClaw&amp;rsquo;s features at zero cost, avoiding prompt injection and cloud dependencies.</description></item><item><title>SAM3-UNet: Adapting Meta's SAM3 for efficient dense prediction with a lightweight U-Net decoder</title><link>https://ramdi.fr/github-stars/sam3-unet-adapting-meta-s-sam3-for-efficient-dense-prediction-with-a-lightweight-u-net-decoder/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sam3-unet-adapting-meta-s-sam3-for-efficient-dense-prediction-with-a-lightweight-u-net-decoder/</guid><description>SAM3-UNet adapts Meta&amp;rsquo;s SAM3 foundation model for dense prediction tasks using a parameter-efficient adapter and U-Net decoder, enabling training under 6 GB GPU memory.</description></item><item><title>scenario-lab: a Python CLI tool for scenario simulation workflows</title><link>https://ramdi.fr/github-stars/scenario-lab-a-python-cli-tool-for-scenario-simulation-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/scenario-lab-a-python-cli-tool-for-scenario-simulation-workflows/</guid><description>scenario-lab is a Python-based tool for running scenario simulations via a CLI, emphasizing reproducible workflows and modular structure with Python 3.12 venv support.</description></item><item><title>SceneSmith: AI-driven pipeline for physics-ready 3D indoor scene generation from text</title><link>https://ramdi.fr/github-stars/scenesmith-ai-driven-pipeline-for-physics-ready-3d-indoor-scene-generation-from-text/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/scenesmith-ai-driven-pipeline-for-physics-ready-3d-indoor-scene-generation-from-text/</guid><description>SceneSmith uses GPT-5-powered agents to generate physically plausible 3D indoor scenes from text prompts, ready for robotics simulation without manual cleanup.</description></item><item><title>SchemaSpy: interactive ER diagram and documentation generator for database schemas</title><link>https://ramdi.fr/github-stars/schemaspy-interactive-er-diagram-and-documentation-generator-for-database-schemas/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/schemaspy-interactive-er-diagram-and-documentation-generator-for-database-schemas/</guid><description>SchemaSpy analyzes database metadata to generate interactive HTML docs with ER diagrams. Its JDBC plugin system supports many DBs, and it integrates well with CI/CD pipelines.</description></item><item><title>Scrcpy-GUI: A Flutter desktop wrapper for Android screen mirroring with scrcpy</title><link>https://ramdi.fr/github-stars/scrcpy-gui-a-flutter-desktop-wrapper-for-android-screen-mirroring-with-scrcpy/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/scrcpy-gui-a-flutter-desktop-wrapper-for-android-screen-mirroring-with-scrcpy/</guid><description>Scrcpy-GUI wraps the scrcpy Android mirroring CLI in a cross-platform Flutter desktop app with a visual command builder and device management. It simplifies scrcpy usage across Windows, macOS, and Linux.</description></item><item><title>ScrewFast: an Astro template with production-ready interactivity and i18n</title><link>https://ramdi.fr/github-stars/screwfast-an-astro-template-with-production-ready-interactivity-and-i18n/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/screwfast-an-astro-template-with-production-ready-interactivity-and-i18n/</guid><description>ScrewFast is an Astro website template combining static site generation with interactive components, i18n support, and modular TypeScript architecture for quick, customizable deployments.</description></item><item><title>Seeker: a social engineering tool for harvesting browser location and fingerprint data</title><link>https://ramdi.fr/github-stars/seeker-a-social-engineering-tool-for-harvesting-browser-location-and-fingerprint-data/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/seeker-a-social-engineering-tool-for-harvesting-browser-location-and-fingerprint-data/</guid><description>Seeker hosts fake web pages to trick users into granting browser location permission, harvesting precise GPS and device fingerprint data via HTML5 APIs. Built with Python and Flask, it runs on multiple platforms and supports export to Google Earth and Telegram.</description></item><item><title>Shiru: a dub-first anime library manager with deep local playback and schedule tracking</title><link>https://ramdi.fr/github-stars/shiru-a-dub-first-anime-library-manager-with-deep-local-playback-and-schedule-tracking/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/shiru-a-dub-first-anime-library-manager-with-deep-local-playback-and-schedule-tracking/</guid><description>Shiru is a cross-platform anime library manager built with Svelte and Tauri, featuring independent dub/sub schedule tracking and local-first playback without transcoding.</description></item><item><title>Skill Conductor: Architecture-first lifecycle management for AI agent skills</title><link>https://ramdi.fr/github-stars/skill-conductor-architecture-first-lifecycle-management-for-ai-agent-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/skill-conductor-architecture-first-lifecycle-management-for-ai-agent-skills/</guid><description>Skill Conductor enforces design patterns and uses a 5-mode lifecycle to manage AI agent skills, avoiding common pitfalls like the &amp;lsquo;description trap&amp;rsquo; for more reliable skill development.</description></item><item><title>skill-check: enforcing quality standards for AI agent skills with measurable scoring</title><link>https://ramdi.fr/github-stars/skill-check-enforcing-quality-standards-for-ai-agent-skills-with-measurable-scoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/skill-check-enforcing-quality-standards-for-ai-agent-skills-with-measurable-scoring/</guid><description>skill-check is a TypeScript CLI that validates and scores AI agent SKILL.md files with auto-fix and security scanning, supporting multiple output formats and baseline comparisons.</description></item><item><title>SkySend: zero-knowledge, end-to-end encrypted self-hosted file sharing with streaming AES-256-GCM</title><link>https://ramdi.fr/github-stars/skysend-zero-knowledge-end-to-end-encrypted-self-hosted-file-sharing-with-streaming-aes-256-gcm/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/skysend-zero-knowledge-end-to-end-encrypted-self-hosted-file-sharing-with-streaming-aes-256-gcm/</guid><description>SkySend is a self-hosted, zero-knowledge file sharing service using client-side AES-256-GCM encryption. It includes web and CLI clients, Docker deployment, and SSO support.</description></item><item><title>socktop: a request-driven Rust remote system monitor with near-zero idle CPU</title><link>https://ramdi.fr/github-stars/socktop-a-request-driven-rust-remote-system-monitor-with-near-zero-idle-cpu/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/socktop-a-request-driven-rust-remote-system-monitor-with-near-zero-idle-cpu/</guid><description>socktop is a Rust-based remote system monitor featuring a request-driven agent design with near-zero CPU when idle, using WebSocket and a Ratatui TUI client.</description></item><item><title>Spotify2YoutubeMusic: a Python tool for migrating music libraries between Spotify and YouTube Music</title><link>https://ramdi.fr/github-stars/spotify2youtubemusic-a-python-tool-for-migrating-music-libraries-between-spotify-and-youtube-music/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/spotify2youtubemusic-a-python-tool-for-migrating-music-libraries-between-spotify-and-youtube-music/</guid><description>Spotify2YoutubeMusic is a Python app that migrates playlists and liked songs between Spotify and YouTube Music using smart caching and batch processing for efficiency.</description></item><item><title>SQL Noir: An interactive mystery game that teaches real SQL with Supabase and Next.js</title><link>https://ramdi.fr/github-stars/sql-noir-an-interactive-mystery-game-that-teaches-real-sql-with-supabase-and-next-js/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sql-noir-an-interactive-mystery-game-that-teaches-real-sql-with-supabase-and-next-js/</guid><description>SQL Noir gamifies SQL learning by turning queries into detective work on a real PostgreSQL database with a Next.js frontend and Supabase backend.</description></item><item><title>SQL-101: A progressive, beginner-friendly curriculum for mastering SQL and relational databases</title><link>https://ramdi.fr/github-stars/sql-101-a-progressive-beginner-friendly-curriculum-for-mastering-sql-and-relational-databases/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sql-101-a-progressive-beginner-friendly-curriculum-for-mastering-sql-and-relational-databases/</guid><description>SQL-101 offers a structured, RDBMS-agnostic curriculum covering SQL basics to advanced topics like indexing and transactions, with code examples and exercises for beginners.</description></item><item><title>SubTrackr: a lightweight subscription tracker with Docker-first deployment in Go</title><link>https://ramdi.fr/github-stars/subtrackr-a-lightweight-subscription-tracker-with-docker-first-deployment-in-go/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/subtrackr-a-lightweight-subscription-tracker-with-docker-first-deployment-in-go/</guid><description>SubTrackr is a Go-based subscription tracker designed for zero dependencies and easy Docker deployment, using SQLite for data storage and optional currency conversion.</description></item><item><title>Sunsynk Home Assistant dashboard: hardware-to-Lovelace solar inverter monitoring</title><link>https://ramdi.fr/github-stars/sunsynk-home-assistant-dashboard-hardware-to-lovelace-solar-inverter-monitoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sunsynk-home-assistant-dashboard-hardware-to-lovelace-solar-inverter-monitoring/</guid><description>A detailed look at Sunsynk-Home-Assistant-Dash, a custom Home Assistant dashboard paired with ESPHome RS485 data collection for real-time solar inverter monitoring and battery management.</description></item><item><title>SuperClaude: Meta-programming Claude Code into a structured AI development platform</title><link>https://ramdi.fr/github-stars/superclaude-meta-programming-claude-code-into-a-structured-ai-development-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/superclaude-meta-programming-claude-code-into-a-structured-ai-development-platform/</guid><description>SuperClaude transforms Claude Code into a structured AI development platform using behavioral instruction injection, 30 slash commands, 20 specialized agents, and 8 MCP server integrations for faster, token-efficient workflows.</description></item><item><title>Supertonic-3: on-device multilingual TTS with OpenAI-compatible API and zero-shot voice cloning</title><link>https://ramdi.fr/github-stars/supertonic-3-on-device-multilingual-tts-with-openai-compatible-api-and-zero-shot-voice-cloning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/supertonic-3-on-device-multilingual-tts-with-openai-compatible-api-and-zero-shot-voice-cloning/</guid><description>Supertonic-3 is a Python TTS library running fully on-device via ONNX runtime, supporting 31 languages, zero-shot voice cloning, and a drop-in OpenAI-compatible API for local TTS deployment.</description></item><item><title>SupoClip: self-hostable AI-powered video clipping with multi-LLM backend abstraction</title><link>https://ramdi.fr/github-stars/supoclip-self-hostable-ai-powered-video-clipping-with-multi-llm-backend-abstraction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/supoclip-self-hostable-ai-powered-video-clipping-with-multi-llm-backend-abstraction/</guid><description>SupoClip is an open-source self-hosted AI video clipper using AssemblyAI transcription and multiple LLM backends including local Ollama. It runs on Docker Compose with FastAPI and Next.js.</description></item><item><title>surf: a Go HTTP client for authentic browser impersonation with TLS and QUIC fingerprinting</title><link>https://ramdi.fr/github-stars/surf-a-go-http-client-for-authentic-browser-impersonation-with-tls-and-quic-fingerprinting/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/surf-a-go-http-client-for-authentic-browser-impersonation-with-tls-and-quic-fingerprinting/</guid><description>surf is a Go HTTP client that replicates Chrome and Firefox fingerprints at TLS, HTTP/2, and HTTP/3 levels, enabling advanced browser impersonation and anti-detection.</description></item><item><title>Surf: Connecting OpenAI's Computer Use API to a Cloud Virtual Desktop with Real-Time Streaming</title><link>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</guid><description>Surf integrates OpenAI&amp;rsquo;s Computer Use API with E2B&amp;rsquo;s cloud virtual desktop to control a Linux desktop via natural language, streaming actions back to the browser in real-time.</description></item><item><title>SVFR: unified video face restoration with task-conditioned stable video diffusion</title><link>https://ramdi.fr/github-stars/svfr-unified-video-face-restoration-with-task-conditioned-stable-video-diffusion/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/svfr-unified-video-face-restoration-with-task-conditioned-stable-video-diffusion/</guid><description>SVFR combines blind face restoration, colorization, and inpainting in a single stable video diffusion model, enabling efficient multi-task video face enhancement.</description></item><item><title>Swark: generating architecture diagrams from code using GitHub Copilot in VS Code</title><link>https://ramdi.fr/github-stars/swark-generating-architecture-diagrams-from-code-using-github-copilot-in-vs-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/swark-generating-architecture-diagrams-from-code-using-github-copilot-in-vs-code/</guid><description>Swark is a VS Code extension that creates Mermaid.js architecture diagrams from any code using GitHub Copilot&amp;rsquo;s free tier via the VS Code Language Model API—no API keys needed.</description></item><item><title>TagTinker: pushing custom images to electronic shelf labels via zero-allocation IR streaming on Flipper Zero</title><link>https://ramdi.fr/github-stars/tagtinker-pushing-custom-images-to-electronic-shelf-labels-via-zero-allocation-ir-streaming-on-flipper-zero/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tagtinker-pushing-custom-images-to-electronic-shelf-labels-via-zero-allocation-ir-streaming-on-flipper-zero/</guid><description>TagTinker is a Flipper Zero app that reverse engineers infrared electronic shelf labels, enabling custom image transmission via a zero-allocation RLE streaming IR engine. It includes a browser-based image preprocessing tool and NFC/WiFi extensions.</description></item><item><title>Tencent HY-World 2.0: multi-modal pipeline for persistent, editable 3D world generation</title><link>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</guid><description>Tencent&amp;rsquo;s HY-World 2.0 generates persistent 3D assets from text, images, or video using a four-stage pipeline. It outputs editable worlds compatible with Blender, Unity, and Unreal Engine.</description></item><item><title>Tether Rally: WebRTC remote control for ARRMA RC cars with clever hardware emulation</title><link>https://ramdi.fr/github-stars/tether-rally-webrtc-remote-control-for-arrma-rc-cars-with-clever-hardware-emulation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tether-rally-webrtc-remote-control-for-arrma-rc-cars-with-clever-hardware-emulation/</guid><description>Tether Rally enables remote driving of ARRMA RC cars via browser with 720p@60fps video, using ESP32 DAC joystick emulation and WebRTC video streaming. Open source, ~$60-80 hardware.</description></item><item><title>The Complete FAANG Preparation: a curated multi-language Jupyter Notebook knowledge base for interview prep</title><link>https://ramdi.fr/github-stars/the-complete-faang-preparation-a-curated-multi-language-jupyter-notebook-knowledge-base-for-interview-prep/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/the-complete-faang-preparation-a-curated-multi-language-jupyter-notebook-knowledge-base-for-interview-prep/</guid><description>A massive Jupyter Notebook repo aggregating FAANG interview resources with multi-language DSA solutions and system design content. Centralizes scattered prep materials into one structured index.</description></item><item><title>TheAnimeScripter: a unified multi-backend AI video enhancement toolkit with efficient model chaining</title><link>https://ramdi.fr/github-stars/theanimescripter-a-unified-multi-backend-ai-video-enhancement-toolkit-with-efficient-model-chaining/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/theanimescripter-a-unified-multi-backend-ai-video-enhancement-toolkit-with-efficient-model-chaining/</guid><description>TheAnimeScripter wraps dozens of AI video models behind one CLI and AE plugin, supporting CUDA, TensorRT, DirectML, OpenVINO backends. Model chaining avoids redundant disk writes.</description></item><item><title>Theseus: Rebuilding the Original Xbox Dashboard with a Single C++ Engine</title><link>https://ramdi.fr/github-stars/theseus-rebuilding-the-original-xbox-dashboard-with-a-single-c-engine/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/theseus-rebuilding-the-original-xbox-dashboard-with-a-single-c-engine/</guid><description>Theseus recreates the original Xbox dashboard in C++, delivering a faithful console experience on modded Xbox and a modern 3D launcher on desktop with one codebase.</description></item><item><title>tickrs: a real-time terminal stock ticker in Rust with tui-rs</title><link>https://ramdi.fr/github-stars/tickrs-a-real-time-terminal-stock-ticker-in-rust-with-tui-rs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tickrs-a-real-time-terminal-stock-ticker-in-rust-with-tui-rs/</guid><description>tickrs is a Rust-based terminal app providing real-time stock quotes and charts from Yahoo Finance, featuring line, candlestick, and kagi charts with per-second updates and CLI customization.</description></item><item><title>Tidal-Media-Downloader: a pragmatic Python CLI for downloading TIDAL music and videos</title><link>https://ramdi.fr/github-stars/tidal-media-downloader-a-pragmatic-python-cli-for-downloading-tidal-music-and-videos/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tidal-media-downloader-a-pragmatic-python-cli-for-downloading-tidal-music-and-videos/</guid><description>Tidal-Media-Downloader is a Python CLI tool that downloads TIDAL streaming music and videos using open-source libraries for API access and MQA decoding, with CLI and GUI modes.</description></item><item><title>Timefall: a Vue and Electron desktop time tracker using Bun and local JSON storage</title><link>https://ramdi.fr/github-stars/timefall-a-vue-and-electron-desktop-time-tracker-using-bun-and-local-json-storage/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/timefall-a-vue-and-electron-desktop-time-tracker-using-bun-and-local-json-storage/</guid><description>Timefall is a desktop time tracking app built with Vue and Electron, using Bun for builds and JSON for local data storage, focused on privacy and task-based tracking.</description></item><item><title>ToaruOS: A self-hosted hobby operating system built from scratch</title><link>https://ramdi.fr/github-stars/toaruos-a-self-hosted-hobby-operating-system-built-from-scratch/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/toaruos-a-self-hosted-hobby-operating-system-built-from-scratch/</guid><description>ToaruOS is a hobby OS built over 14+ years with a fully self-hosted stack including a hybrid kernel, custom libc, dynamic linker, compositor, and bytecode language — all zero-dependency.</description></item><item><title>TokenEater: real-time Claude AI usage monitoring on macOS with process overlays</title><link>https://ramdi.fr/github-stars/tokeneater-real-time-claude-ai-usage-monitoring-on-macos-with-process-overlays/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tokeneater-real-time-claude-ai-usage-monitoring-on-macos-with-process-overlays/</guid><description>TokenEater is a Swift macOS menu bar app that monitors Claude AI usage limits for Pro, Max, and Team plans. It features a unique Agent Watchers overlay for real-time process monitoring and usage insights.</description></item><item><title>Tracing deep learning step-by-step in Excel: a hands-on guide to ai-by-hand-excel</title><link>https://ramdi.fr/github-stars/tracing-deep-learning-step-by-step-in-excel-a-hands-on-guide-to-ai-by-hand-excel/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tracing-deep-learning-step-by-step-in-excel-a-hands-on-guide-to-ai-by-hand-excel/</guid><description>Explore how ai-by-hand-excel implements deep learning architectures like Transformers entirely in Excel formulas, exposing the math behind AI step-by-step without code.</description></item><item><title>TubeAIO NextGen: modular Android video downloader with multi-engine extraction</title><link>https://ramdi.fr/github-stars/tubeaio-nextgen-modular-android-video-downloader-with-multi-engine-extraction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tubeaio-nextgen-modular-android-video-downloader-with-multi-engine-extraction/</guid><description>TubeAIO NextGen rewrites AIO Video Downloader on Android with Clean Architecture, MVVM, and yt-dlp integration, supporting 1000+ sites, torrent downloads, and an ad-free browser.</description></item><item><title>Turning LLMs into a Beamer LaTeX presentation compiler with automated quality control</title><link>https://ramdi.fr/github-stars/turning-llms-into-a-beamer-latex-presentation-compiler-with-automated-quality-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/turning-llms-into-a-beamer-latex-presentation-compiler-with-automated-quality-control/</guid><description>This Claude Code skill transforms LLMs into a multi-phase Beamer LaTeX presentation compiler with automated design, visual, and pedagogical audits for academic slides.</description></item><item><title>Ultimate AI Engineer Roadmap 2026: A comprehensive curriculum for aspiring AI engineers</title><link>https://ramdi.fr/github-stars/ultimate-ai-engineer-roadmap-2026-a-comprehensive-curriculum-for-aspiring-ai-engineers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ultimate-ai-engineer-roadmap-2026-a-comprehensive-curriculum-for-aspiring-ai-engineers/</guid><description>Explore a detailed 17-phase AI engineering roadmap for 2026, focusing on multi-LLM orchestration, RAG, AI agents, and production-ready skills with 51 hands-on projects.</description></item><item><title>Understanding Awesome-GraphRAG: A Curated Survey and Benchmark for Graph-Based Retrieval-Augmented Generation</title><link>https://ramdi.fr/github-stars/understanding-awesome-graphrag-a-curated-survey-and-benchmark-for-graph-based-retrieval-augmented-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-awesome-graphrag-a-curated-survey-and-benchmark-for-graph-based-retrieval-augmented-generation/</guid><description>Awesome-GraphRAG is a curated repository organizing graph-based retrieval-augmented generation methods, with a taxonomy, benchmark, and original research from DEEP-PolyU.</description></item><item><title>Unity-Skills: AI-driven automation engine for Unity Editor with enterprise-grade safety</title><link>https://ramdi.fr/github-stars/unity-skills-ai-driven-automation-engine-for-unity-editor-with-enterprise-grade-safety/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/unity-skills-ai-driven-automation-engine-for-unity-editor-with-enterprise-grade-safety/</guid><description>Unity-Skills offers AI-driven Unity Editor automation with 750 skills, server-side permission modes, and transactional atomicity for safe multi-step operations.</description></item><item><title>Unmanic: a plugin-driven media library optimizer with scheduler, watcher, and web UI</title><link>https://ramdi.fr/github-stars/unmanic-a-plugin-driven-media-library-optimizer-with-scheduler-watcher-and-web-ui/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/unmanic-a-plugin-driven-media-library-optimizer-with-scheduler-watcher-and-web-ui/</guid><description>Unmanic is a Python-based self-hosted tool that automates media file optimization via a plugin system, combining scheduling, file watching, parallel tasks, and a web UI for management.</description></item><item><title>Vibe Workflow: Embeddable node-based AI workflow builder for generative image and video pipelines</title><link>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</guid><description>Vibe Workflow is an open-source, self-hostable node-based AI workflow builder for generative image and video pipelines. Its reusable UI library enables embedding into React apps.</description></item><item><title>vim-startuptime: interactive profiling of Vim and Neovim startup performance</title><link>https://ramdi.fr/github-stars/vim-startuptime-interactive-profiling-of-vim-and-neovim-startup-performance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/vim-startuptime-interactive-profiling-of-vim-and-neovim-startup-performance/</guid><description>vim-startuptime is a Vim/Neovim plugin that parses detailed startup timing logs into an interactive buffer, helping you profile your full configuration with millisecond precision.</description></item><item><title>VisoMaster Fusion: a portable Windows app bundling multiple AI face-swapping models</title><link>https://ramdi.fr/github-stars/visomaster-fusion-a-portable-windows-app-bundling-multiple-ai-face-swapping-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/visomaster-fusion-a-portable-windows-app-bundling-multiple-ai-face-swapping-models/</guid><description>VisoMaster Fusion bundles over a dozen AI face-swapping models into a portable Windows desktop app with automatic runtime setup, simplifying the complex AI video editing workflow.</description></item><item><title>vLLM Compressor: Practical quantization and compression for large language model inference</title><link>https://ramdi.fr/github-stars/vllm-compressor-practical-quantization-and-compression-for-large-language-model-inference/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/vllm-compressor-practical-quantization-and-compression-for-large-language-model-inference/</guid><description>vLLM Compressor applies advanced quantization and compression techniques to large language models, enabling optimized inference without requiring full model definitions.</description></item><item><title>VoidAuth: a self-hosted OpenID Connect SSO provider for homelabs</title><link>https://ramdi.fr/github-stars/voidauth-a-self-hosted-openid-connect-sso-provider-for-homelabs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/voidauth-a-self-hosted-openid-connect-sso-provider-for-homelabs/</guid><description>VoidAuth is a TypeScript-based self-hosted OpenID Connect provider and ForwardAuth reverse proxy designed for homelabs, offering user management, passkeys, MFA, and Docker-first deployment.</description></item><item><title>Weave: a Go microkernel platform for hot-pluggable AI application development</title><link>https://ramdi.fr/github-stars/weave-a-go-microkernel-platform-for-hot-pluggable-ai-application-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/weave-a-go-microkernel-platform-for-hot-pluggable-ai-application-development/</guid><description>Weave is a Go-based AI platform with a microkernel architecture that supports hot-pluggable AI plugins and dynamic multi-model switching. Deploy with Docker Compose for rapid development.</description></item><item><title>webcamize: turning any digital camera into a plug-and-play webcam on Linux</title><link>https://ramdi.fr/github-stars/webcamize-turning-any-digital-camera-into-a-plug-and-play-webcam-on-linux/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/webcamize-turning-any-digital-camera-into-a-plug-and-play-webcam-on-linux/</guid><description>webcamize is a C tool that uses libgphoto2, ffmpeg, and v4l2loopback to transform almost any camera into a Linux UVC webcam with zero config. Build and install with make.</description></item><item><title>WebSpace: a Flutter app with deep privacy and a Rust adblock engine</title><link>https://ramdi.fr/github-stars/webspace-a-flutter-app-with-deep-privacy-and-a-rust-adblock-engine/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/webspace-a-flutter-app-with-deep-privacy-and-a-rust-adblock-engine/</guid><description>WebSpace wraps websites into a privacy-first Flutter app with per-site isolation and a Rust-powered adblock engine integrated via FFI. Here’s how it works under the hood.</description></item><item><title>WhatsApp-OSINT: A Python CLI tool for WhatsApp phone number intelligence via RapidAPI</title><link>https://ramdi.fr/github-stars/whatsapp-osint-a-python-cli-tool-for-whatsapp-phone-number-intelligence-via-rapidapi/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/whatsapp-osint-a-python-cli-tool-for-whatsapp-phone-number-intelligence-via-rapidapi/</guid><description>WhatsApp-OSINT is a Python CLI that queries RapidAPI endpoints to extract WhatsApp phone number intelligence, including profile pics, business status, linked devices, and privacy settings.</description></item><item><title>wiki-go: a no-database markdown wiki with integrated kanban in Go</title><link>https://ramdi.fr/github-stars/wiki-go-a-no-database-markdown-wiki-with-integrated-kanban-in-go/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/wiki-go-a-no-database-markdown-wiki-with-integrated-kanban-in-go/</guid><description>Wiki-Go is a self-hosted Go wiki with no database, supporting Markdown, Kanban boards, and role-based access. Deploy via Docker or binary with minimal setup.</description></item><item><title>WireGuide: a cross-platform WireGuard desktop client with privilege-separated architecture</title><link>https://ramdi.fr/github-stars/wireguide-a-cross-platform-wireguard-desktop-client-with-privilege-separated-architecture/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/wireguide-a-cross-platform-wireguard-desktop-client-with-privilege-separated-architecture/</guid><description>WireGuide is a Go-based cross-platform WireGuard VPN client with a dual-process design separating GUI and privileged networking tasks via JSON-RPC. It features advanced network management and security enhancements.</description></item><item><title>WiX Toolset: open-source Windows Installer builds with a new sustainability model</title><link>https://ramdi.fr/github-stars/wix-toolset-open-source-windows-installer-builds-with-a-new-sustainability-model/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/wix-toolset-open-source-windows-installer-builds-with-a-new-sustainability-model/</guid><description>WiX Toolset builds Windows Installer packages from XML with MSBuild integration. Its new open source maintenance fee model challenges free open source sustainability.</description></item><item><title>World2Agent: Standardizing AI Agent Perception with Pluggable NPM Sensors</title><link>https://ramdi.fr/github-stars/world2agent-standardizing-ai-agent-perception-with-pluggable-npm-sensors/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/world2agent-standardizing-ai-agent-perception-with-pluggable-npm-sensors/</guid><description>World2Agent defines a TypeScript protocol for AI agents to ingest real-world data as pluggable npm sensors, with runtime bridges for Claude Code, Hermes, and OpenClaw.</description></item><item><title>XcodeBuildMCP: Bridging AI Agents and Native Apple Development with MCP Tools</title><link>https://ramdi.fr/github-stars/xcodebuildmcp-bridging-ai-agents-and-native-apple-development-with-mcp-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/xcodebuildmcp-bridging-ai-agents-and-native-apple-development-with-mcp-tools/</guid><description>XcodeBuildMCP exposes xcodebuild operations as MCP tools for AI coding assistants and CLI use, enabling automated iOS/macOS builds, testing, and debugging with a per-workspace daemon on macOS.</description></item><item><title>yoagent: a minimal Rust AI agent runtime with multi-provider LLM support</title><link>https://ramdi.fr/github-stars/yoagent-a-minimal-rust-ai-agent-runtime-with-multi-provider-llm-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/yoagent-a-minimal-rust-ai-agent-runtime-with-multi-provider-llm-support/</guid><description>yoagent is a minimal Rust library implementing an AI agent loop with multi-provider LLM support, built-in tools, and event streaming for clean, extensible agent workflows.</description></item><item><title>YuE: scalable dual-track foundation model for lyrics-to-song generation</title><link>https://ramdi.fr/github-stars/yue-scalable-dual-track-foundation-model-for-lyrics-to-song-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/yue-scalable-dual-track-foundation-model-for-lyrics-to-song-generation/</guid><description>YuE is an open-source Python foundation model for generating complete songs from lyrics using a two-stage architecture and audio in-context learning. It supports style cloning and LoRA finetuning under Apache 2.0.</description></item><item><title>ZealOS: a modern fork of TempleOS with ZealC and 60 FPS graphics</title><link>https://ramdi.fr/github-stars/zealos-a-modern-fork-of-templeos-with-zealc-and-60-fps-graphics/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/zealos-a-modern-fork-of-templeos-with-zealc-and-60-fps-graphics/</guid><description>ZealOS is a public-domain fork of TempleOS, modernizing HolyC to ZealC, targeting 60 FPS VBE graphics and real hardware support, all while keeping the OS comprehensible by one developer.</description></item><item><title>OpenShell: Securing AI agents with runtime-policy sandboxing from NVIDIA</title><link>https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/</link><pubDate>Mon, 18 May 2026 18:25:17 +0000</pubDate><guid>https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/</guid><description>OpenShell by NVIDIA offers a Rust-based AI agent sandbox runtime with hot-reloadable YAML policies for filesystem, network, process, and inference controls inside containers.</description></item><item><title>Minds Platform: An enterprise-grade AI foundation for autonomous agents and semantic search</title><link>https://ramdi.fr/github-stars/minds-platform-an-enterprise-grade-ai-foundation-for-autonomous-agents-and-semantic-search/</link><pubDate>Fri, 15 May 2026 14:23:51 +0000</pubDate><guid>https://ramdi.fr/github-stars/minds-platform-an-enterprise-grade-ai-foundation-for-autonomous-agents-and-semantic-search/</guid><description>Minds Platform offers a Python-based AI foundation with autonomous agents and semantic search, designed for flexible enterprise deployment across cloud and on-prem environments.</description></item><item><title>DeepSeek-Reasonix: An AI coding agent engineered for token-efficient long sessions</title><link>https://ramdi.fr/github-stars/deepseek-reasonix-an-ai-coding-agent-engineered-for-token-efficient-long-sessions/</link><pubDate>Sun, 10 May 2026 18:13:56 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepseek-reasonix-an-ai-coding-agent-engineered-for-token-efficient-long-sessions/</guid><description>DeepSeek-Reasonix is a terminal-native AI coding agent built around a cache-first loop for token-efficient, long sessions with 99.82% cache hit rate, supporting web search and persistent workspaces.</description></item><item><title>Aider: precise AI pair programming with whole-codebase awareness</title><link>https://ramdi.fr/github-stars/aider-precise-ai-pair-programming-with-whole-codebase-awareness/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/aider-precise-ai-pair-programming-with-whole-codebase-awareness/</guid><description>Aider is a terminal-based AI pair programming tool that builds a repository map for full codebase context, enabling precise, developer-controlled edits with multi-LLM support and git integration.</description></item><item><title>Automating Proxmox VE deployments with community-scripts/ProxmoxVE</title><link>https://ramdi.fr/github-stars/automating-proxmox-ve-deployments-with-community-scripts-proxmoxve-1239/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-proxmox-ve-deployments-with-community-scripts-proxmoxve-1239/</guid><description>community-scripts/ProxmoxVE offers hundreds of shell scripts that automate self-hosted service deployment on Proxmox VE with a single command, simplifying complex container provisioning.</description></item><item><title>bat: a terminal-aware cat replacement with syntax highlighting and Git integration</title><link>https://ramdi.fr/github-stars/bat-a-terminal-aware-cat-replacement-with-syntax-highlighting-and-git-integration/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/bat-a-terminal-aware-cat-replacement-with-syntax-highlighting-and-git-integration/</guid><description>bat is a Rust CLI tool replacing cat with syntax highlighting, Git diff markers, paging, and safe fallback for non-interactive terminals. It integrates with many Unix tools.</description></item><item><title>Beszel: simplifying server monitoring with a lightweight Go hub-agent platform</title><link>https://ramdi.fr/github-stars/beszel-simplifying-server-monitoring-with-a-lightweight-go-hub-agent-platform/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/beszel-simplifying-server-monitoring-with-a-lightweight-go-hub-agent-platform/</guid><description>Beszel consolidates server monitoring into a single Go binary using a hub-agent architecture and PocketBase for UI and auth. It offers essential metrics with low resource use, trading flexibility for simplicity.</description></item><item><title>Cloudflare VibeSDK: AI-powered full-stack app generation with Cloudflare edge infrastructure</title><link>https://ramdi.fr/github-stars/cloudflare-vibesdk-ai-powered-full-stack-app-generation-with-cloudflare-edge-infrastructure/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/cloudflare-vibesdk-ai-powered-full-stack-app-generation-with-cloudflare-edge-infrastructure/</guid><description>Cloudflare VibeSDK lets you generate full React+TypeScript apps from natural language using AI agents running on Cloudflare Workers, with a programmable SDK for integration.</description></item><item><title>Dashy: A YAML-driven self-hosted dashboard for homelab organization</title><link>https://ramdi.fr/github-stars/dashy-a-yaml-driven-self-hosted-dashboard-for-homelab-organization/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/dashy-a-yaml-driven-self-hosted-dashboard-for-homelab-organization/</guid><description>Dashy uses a single YAML config to unify homelab service access with real-time monitoring, multi-page layouts, and SSO. Deployment via multi-arch Docker images is straightforward.</description></item><item><title>GitHub CLI: Bringing the full GitHub workflow into your terminal</title><link>https://ramdi.fr/github-stars/github-cli-bringing-the-full-github-workflow-into-your-terminal/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/github-cli-bringing-the-full-github-workflow-into-your-terminal/</guid><description>GitHub CLI (&lt;code>gh&lt;/code>) transforms GitHub workflows into terminal-native commands for pull requests, issues, and more, with strong Go-based architecture and multi-platform support.</description></item><item><title>Graphify: Local AST parsing and AI-enhanced knowledge graphs for codebases</title><link>https://ramdi.fr/github-stars/graphify-local-ast-parsing-and-ai-enhanced-knowledge-graphs-for-codebases/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/graphify-local-ast-parsing-and-ai-enhanced-knowledge-graphs-for-codebases/</guid><description>Graphify uses local tree-sitter parsers to build interactive codebase knowledge graphs, integrating with AI coding assistants while preserving privacy. Supports 25+ languages and multi-format assets.</description></item><item><title>HolyClaude: a battle-tested Docker AI dev workstation solving real container quirks</title><link>https://ramdi.fr/github-stars/holyclaude-a-battle-tested-docker-ai-dev-workstation-solving-real-container-quirks/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/holyclaude-a-battle-tested-docker-ai-dev-workstation-solving-real-container-quirks/</guid><description>HolyClaude bundles Claude Code, 7 AI CLIs, a headless browser, and 50+ dev tools in a Docker container that fixes 15+ real-world Docker quirks, enabling AI dev setup in 30 seconds.</description></item><item><title>Inside Claude Code From Scratch: A practical reconstruction of Anthropic's coding agent</title><link>https://ramdi.fr/github-stars/inside-claude-code-from-scratch-a-practical-reconstruction-of-anthropic-s-coding-agent/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-claude-code-from-scratch-a-practical-reconstruction-of-anthropic-s-coding-agent/</guid><description>Claude Code From Scratch distills Anthropic&amp;rsquo;s 500K+ line coding agent into ~8,000 lines of Python and TypeScript, revealing core architecture like the Agent Loop, semantic memory, multi-agent skills, and context compression.</description></item><item><title>Inside Kibana: Elastic's browser-based TypeScript platform for Elasticsearch visualization</title><link>https://ramdi.fr/github-stars/inside-kibana-elastic-s-browser-based-typescript-platform-for-elasticsearch-visualization/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-kibana-elastic-s-browser-based-typescript-platform-for-elasticsearch-visualization/</guid><description>Kibana is Elastic&amp;rsquo;s open-source browser-based analytics platform for Elasticsearch data, built as a large TypeScript monorepo with strict version compatibility and rich visualization capabilities.</description></item><item><title>Istio's ambient mesh: redefining service mesh architecture with a sidecar-less data plane</title><link>https://ramdi.fr/github-stars/istio-s-ambient-mesh-redefining-service-mesh-architecture-with-a-sidecar-less-data-plane/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/istio-s-ambient-mesh-redefining-service-mesh-architecture-with-a-sidecar-less-data-plane/</guid><description>Istio&amp;rsquo;s Ambient Mesh mode challenges traditional sidecar proxies by splitting L4 and L7 processing with a Rust-based ztunnel and waypoint proxies, evolving service mesh design.</description></item><item><title>Milvus: a distributed vector database with Go orchestration and C++ search engine</title><link>https://ramdi.fr/github-stars/milvus-a-distributed-vector-database-with-go-orchestration-and-c-search-engine/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/milvus-a-distributed-vector-database-with-go-orchestration-and-c-search-engine/</guid><description>Milvus is an open-source distributed vector database with a Go system layer and C++ core, supporting multiple vector indexes, hybrid search, and Kubernetes-native scaling for AI workloads.</description></item><item><title>Minikube: A local Kubernetes cluster with multi-hypervisor support and developer-friendly addons</title><link>https://ramdi.fr/github-stars/minikube-a-local-kubernetes-cluster-with-multi-hypervisor-support-and-developer-friendly-addons/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/minikube-a-local-kubernetes-cluster-with-multi-hypervisor-support-and-developer-friendly-addons/</guid><description>Minikube simplifies running local Kubernetes clusters by abstracting multiple hypervisor backends and offering developer-friendly features like addons and GPU support. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>Nacos: unified service discovery and dynamic configuration for cloud-native microservices</title><link>https://ramdi.fr/github-stars/nacos-unified-service-discovery-and-dynamic-configuration-for-cloud-native-microservices-1211/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/nacos-unified-service-discovery-and-dynamic-configuration-for-cloud-native-microservices-1211/</guid><description>Nacos combines service discovery and dynamic configuration management in one Java platform, simplifying microservice infrastructure with real-time updates and weighted routing.</description></item><item><title>Nightingale: A Go-based alerting engine bridging observability and AI workflows</title><link>https://ramdi.fr/github-stars/nightingale-a-go-based-alerting-engine-bridging-observability-and-ai-workflows/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/nightingale-a-go-based-alerting-engine-bridging-observability-and-ai-workflows/</guid><description>Nightingale is a Go alerting engine integrating multiple data sources and supporting AI-driven alert management via its MCP Server. It offers flexible notifications and self-healing capabilities.</description></item><item><title>OpenAlpha_Evolve: autonomous code evolution with LLM-driven diff mutations</title><link>https://ramdi.fr/github-stars/openalpha-evolve-autonomous-code-evolution-with-llm-driven-diff-mutations/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/openalpha-evolve-autonomous-code-evolution-with-llm-driven-diff-mutations/</guid><description>OpenAlpha_Evolve uses large language models to generate precise code diffs as mutations in an evolutionary algorithm, enabling autonomous iterative code improvement with sandboxed evaluation.</description></item><item><title>SigNoz: OpenTelemetry-native observability with unified ClickHouse backend</title><link>https://ramdi.fr/github-stars/signoz-opentelemetry-native-observability-with-unified-clickhouse-backend/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/signoz-opentelemetry-native-observability-with-unified-clickhouse-backend/</guid><description>SigNoz is an open-source observability platform that unifies logs, metrics, and traces using ClickHouse as a single datastore, built natively on OpenTelemetry.</description></item><item><title>Sun-Panel: a self-hosted Vue dashboard for NAS and server navigation with zero-code config</title><link>https://ramdi.fr/github-stars/sun-panel-a-self-hosted-vue-dashboard-for-nas-and-server-navigation-with-zero-code-config/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/sun-panel-a-self-hosted-vue-dashboard-for-nas-and-server-navigation-with-zero-code-config/</guid><description>Sun-Panel is a Vue-based self-hosted dashboard for NAS and servers, featuring drag-and-drop config, multi-account support, and Docker deployment. It recently introduced PRO features behind closed source.</description></item><item><title>yt-dlp: modular extractor architecture for unified media downloading</title><link>https://ramdi.fr/github-stars/yt-dlp-modular-extractor-architecture-for-unified-media-downloading/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/yt-dlp-modular-extractor-architecture-for-unified-media-downloading/</guid><description>yt-dlp is a Python CLI tool with 1,800+ site extractors for audio/video downloading, featuring extensible plugins, multi-OS binaries, and advanced post-processing.</description></item><item><title>Ansible-NAS: an Ansible-driven modular home NAS built on Ubuntu and Docker</title><link>https://ramdi.fr/github-stars/ansible-nas-an-ansible-driven-modular-home-nas-built-on-ubuntu-and-docker/</link><pubDate>Wed, 06 May 2026 18:58:37 +0000</pubDate><guid>https://ramdi.fr/github-stars/ansible-nas-an-ansible-driven-modular-home-nas-built-on-ubuntu-and-docker/</guid><description>Ansible-NAS uses Ansible playbooks to transform Ubuntu Server 22.04 into a modular home NAS. It orchestrates 100+ Docker apps with Traefik for reverse proxy and dynamic DNS.</description></item><item><title>Olares: Building a personal cloud OS on Kubernetes for local AI and app hosting</title><link>https://ramdi.fr/github-stars/olares-building-a-personal-cloud-os-on-kubernetes-for-local-ai-and-app-hosting/</link><pubDate>Wed, 06 May 2026 18:58:37 +0000</pubDate><guid>https://ramdi.fr/github-stars/olares-building-a-personal-cloud-os-on-kubernetes-for-local-ai-and-app-hosting/</guid><description>Olares combines Kubernetes with over 30 open-source projects to create a personal cloud OS focused on data sovereignty, local AI, and sandboxed apps.</description></item><item><title>RAGFlow: a modular, agentic retrieval-augmented generation engine with deep document understanding</title><link>https://ramdi.fr/github-stars/ragflow-a-modular-agentic-retrieval-augmented-generation-engine-with-deep-document-understanding/</link><pubDate>Wed, 06 May 2026 18:58:37 +0000</pubDate><guid>https://ramdi.fr/github-stars/ragflow-a-modular-agentic-retrieval-augmented-generation-engine-with-deep-document-understanding/</guid><description>RAGFlow is an open-source Python RAG engine combining deep document parsing, configurable pipelines, agentic workflows, and sandboxed code execution for LLM context management.</description></item><item><title>rtk: A Rust CLI proxy that cuts LLM token usage by up to 90% with transparent command rewriting</title><link>https://ramdi.fr/github-stars/rtk-a-rust-cli-proxy-that-cuts-llm-token-usage-by-up-to-90-with-transparent-command-rewriting/</link><pubDate>Wed, 06 May 2026 18:58:37 +0000</pubDate><guid>https://ramdi.fr/github-stars/rtk-a-rust-cli-proxy-that-cuts-llm-token-usage-by-up-to-90-with-transparent-command-rewriting/</guid><description>rtk is a Rust CLI proxy that intercepts shell commands to reduce LLM token consumption by 60-90% using a transparent Bash hook and output filtering, supporting 100+ commands.</description></item><item><title>10x CLI coding agent: tiered AI model routing for faster coding workflows</title><link>https://ramdi.fr/github-stars/10x-cli-coding-agent-tiered-ai-model-routing-for-faster-coding-workflows/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/10x-cli-coding-agent-tiered-ai-model-routing-for-faster-coding-workflows/</guid><description>10x is a TypeScript CLI coding agent that speeds coding up to 20x by routing tasks across a tiered AI model system with customizable multi-step workflows called Superpowers.</description></item><item><title>awesome-cheatsheets: a practical collection of concise programming reference sheets</title><link>https://ramdi.fr/github-stars/awesome-cheatsheets-a-practical-collection-of-concise-programming-reference-sheets/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-cheatsheets-a-practical-collection-of-concise-programming-reference-sheets/</guid><description>awesome-cheatsheets is a community-driven collection of concise single-file reference sheets for languages, frameworks, and tools, designed to speed up developer recall and reduce documentation lookup time.</description></item><item><title>cocoindex-code: AST-aware semantic code search with efficient embedding integration</title><link>https://ramdi.fr/github-stars/cocoindex-code-ast-aware-semantic-code-search-with-efficient-embedding-integration/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/cocoindex-code-ast-aware-semantic-code-search-with-efficient-embedding-integration/</guid><description>cocoindex-code combines AST parsing with semantic embeddings for precise code search, offering a zero-config setup, background indexing daemon, and smooth integration with coding agents.</description></item><item><title>Command Code: an AI coding agent that learns your coding taste with meta neuro-symbolic AI</title><link>https://ramdi.fr/github-stars/command-code-an-ai-coding-agent-that-learns-your-coding-taste-with-meta-neuro-symbolic-ai/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/command-code-an-ai-coding-agent-that-learns-your-coding-taste-with-meta-neuro-symbolic-ai/</guid><description>Command Code uses a meta neuro-symbolic AI &amp;rsquo;taste-1&amp;rsquo; model to continuously learn and adapt to your coding style, enabling personalized full-stack project building and bug fixing.</description></item><item><title>ezBookkeeping: a lightweight, AI-augmented self-hosted personal finance tool</title><link>https://ramdi.fr/github-stars/ezbookkeeping-a-lightweight-ai-augmented-self-hosted-personal-finance-tool/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/ezbookkeeping-a-lightweight-ai-augmented-self-hosted-personal-finance-tool/</guid><description>ezBookkeeping is a Go-based, self-hosted personal finance app with AI receipt recognition, MCP AI integration, and multi-backend support, optimized for resource-limited devices like Raspberry Pi.</description></item><item><title>FreeDomains: A Community-Driven Free Subdomain Registry Using GitHub Issues for DNS Management</title><link>https://ramdi.fr/github-stars/freedomains-a-community-driven-free-subdomain-registry-using-github-issues-for-dns-management/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/freedomains-a-community-driven-free-subdomain-registry-using-github-issues-for-dns-management/</guid><description>FreeDomains offers free subdomains via GitHub Issues, backed by globally distributed name servers. This community-driven DNS registry suits developers and homelab users seeking low-cost domain control.</description></item><item><title>GoMLX: Bringing PyTorch-Level Machine Learning to Go with OpenXLA and WASM</title><link>https://ramdi.fr/github-stars/gomlx-bringing-pytorch-level-machine-learning-to-go-with-openxla-and-wasm/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/gomlx-bringing-pytorch-level-machine-learning-to-go-with-openxla-and-wasm/</guid><description>GoMLX is a Go-native machine learning framework offering automatic differentiation, multi-backend support including OpenXLA acceleration, and ONNX compatibility. It enables training and inference of LLMs like GPT-2 entirely in Go, with a pure-Go backend for WASM.</description></item><item><title>Grok-CLI: a terminal coding agent with Telegram remote control and sub-agent delegation</title><link>https://ramdi.fr/github-stars/grok-cli-a-terminal-coding-agent-with-telegram-remote-control-and-sub-agent-delegation/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/grok-cli-a-terminal-coding-agent-with-telegram-remote-control-and-sub-agent-delegation/</guid><description>Grok-CLI is a TypeScript terminal coding agent connecting to xAI&amp;rsquo;s Grok API, featuring Telegram remote control, sub-agent delegation, and macOS automation for interactive and headless workflows.</description></item><item><title>K9s: A reactive terminal UI for Kubernetes cluster management</title><link>https://ramdi.fr/github-stars/k9s-a-reactive-terminal-ui-for-kubernetes-cluster-management/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/k9s-a-reactive-terminal-ui-for-kubernetes-cluster-management/</guid><description>K9s offers a reactive, keyboard-driven terminal UI for Kubernetes management, turning the CLI into a real-time dashboard with resource watching, editing, and plugin support.</description></item><item><title>Kubeshark: Deep Kubernetes Network Traffic Inspection with a Native Go Agent</title><link>https://ramdi.fr/github-stars/kubeshark-deep-kubernetes-network-traffic-inspection-with-a-native-go-agent/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/kubeshark-deep-kubernetes-network-traffic-inspection-with-a-native-go-agent/</guid><description>Kubeshark offers Kubernetes-native live network traffic inspection using a Go-based agent and an intuitive UI. It simplifies cluster debugging with easy Helm and Homebrew installs.</description></item><item><title>Langchain-Chatchat: A model-agnostic orchestration layer for Chinese-language RAG and Agents</title><link>https://ramdi.fr/github-stars/langchain-chatchat-a-model-agnostic-orchestration-layer-for-chinese-language-rag-and-agents/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/langchain-chatchat-a-model-agnostic-orchestration-layer-for-chinese-language-rag-and-agents/</guid><description>Langchain-Chatchat offers a flexible, offline-capable orchestration layer for multiple Chinese LLMs and RAG approaches, enabling seamless model swaps across frameworks without code changes.</description></item><item><title>Langfuse: Simplifying LLM observability with decorator-based tracing</title><link>https://ramdi.fr/github-stars/langfuse-simplifying-llm-observability-with-decorator-based-tracing/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/langfuse-simplifying-llm-observability-with-decorator-based-tracing/</guid><description>Langfuse provides end-to-end observability for LLM applications with automatic tracing via an @observe() decorator, enabling teams to debug and manage AI workflows efficiently.</description></item><item><title>little-coder: a coding agent optimized for small local language models</title><link>https://ramdi.fr/github-stars/little-coder-a-coding-agent-optimized-for-small-local-language-models/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/little-coder-a-coding-agent-optimized-for-small-local-language-models/</guid><description>little-coder adapts AI coding agents to run efficiently on small local language models, achieving strong benchmark results with minimal setup.</description></item><item><title>netboot.xyz: automating network boot menus with Ansible and Jinja2</title><link>https://ramdi.fr/github-stars/netboot-xyz-automating-network-boot-menus-with-ansible-and-jinja2/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/netboot-xyz-automating-network-boot-menus-with-ansible-and-jinja2/</guid><description>netboot.xyz generates dynamic iPXE menus for 50+ OSes using Ansible and Jinja2, simplifying network-based OS installs across multiple architectures. Self-host or use hosted service.</description></item><item><title>Octelium: a unified zero trust secure access platform with identity-aware L7 proxy</title><link>https://ramdi.fr/github-stars/octelium-a-unified-zero-trust-secure-access-platform-with-identity-aware-l7-proxy/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/octelium-a-unified-zero-trust-secure-access-platform-with-identity-aware-l7-proxy/</guid><description>Octelium is a self-hosted zero trust platform that unifies VPN, ZTNA, API, and AI gateways via a single identity-aware L7 proxy on Kubernetes with policy-as-code.</description></item><item><title>Open Cowork: Desktop AI Agent with VM-level Sandbox Isolation for Safer AI Workflows</title><link>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</guid><description>Open Cowork wraps multiple LLMs in a cross-platform desktop app with unique VM-level sandboxing using WSL2 and Lima for safe AI agent command execution.</description></item><item><title>Podman: Daemonless container management with rootless security and Docker compatibility</title><link>https://ramdi.fr/github-stars/podman-daemonless-container-management-with-rootless-security-and-docker-compatibility/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/podman-daemonless-container-management-with-rootless-security-and-docker-compatibility/</guid><description>Podman offers daemonless container and pod management with rootless security and Docker CLI compatibility. It rethinks container runtimes with a fork-exec model and user namespaces.</description></item><item><title>Prefect: Python-native workflow orchestration made simple and scalable</title><link>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</guid><description>Prefect turns Python scripts into production-ready workflows with minimal code changes, offering a self-hosted UI and cloud option for reliable, observable pipelines.</description></item><item><title>Pulse: AI-powered unified monitoring for Proxmox, Docker, and Kubernetes</title><link>https://ramdi.fr/github-stars/pulse-ai-powered-unified-monitoring-for-proxmox-docker-and-kubernetes/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/pulse-ai-powered-unified-monitoring-for-proxmox-docker-and-kubernetes/</guid><description>Pulse is a Go-based self-hosted dashboard that unifies monitoring for Proxmox, Docker, and Kubernetes. It features AI-driven health checks detecting silent failures in homelab infrastructure.</description></item><item><title>Quivr: A Python framework for flexible retrieval-augmented generation pipelines</title><link>https://ramdi.fr/github-stars/quivr-a-python-framework-for-flexible-retrieval-augmented-generation-pipelines/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/quivr-a-python-framework-for-flexible-retrieval-augmented-generation-pipelines/</guid><description>Quivr is a Python framework offering an opinionated, pluggable retrieval-augmented generation pipeline with multi-LLM support and YAML-defined workflows for flexible knowledge retrieval.</description></item><item><title>router7: A pure-Go home router OS consolidating core network services into a single binary</title><link>https://ramdi.fr/github-stars/router7-a-pure-go-home-router-os-consolidating-core-network-services-into-a-single-binary/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/router7-a-pure-go-home-router-os-consolidating-core-network-services-into-a-single-binary/</guid><description>router7 is a pure-Go home router implementation bundling DHCP, DNS, and more into a single binary for fiber7 ISP, simplifying traditional router firmware complexity.</description></item><item><title>Scanopy: Rust-powered automatic network documentation daemon replacing manual diagrams</title><link>https://ramdi.fr/github-stars/scanopy-rust-powered-automatic-network-documentation-daemon-replacing-manual-diagrams/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/scanopy-rust-powered-automatic-network-documentation-daemon-replacing-manual-diagrams/</guid><description>Scanopy automates network documentation with a Rust daemon that produces L2/L3, workload, and app views from scheduled scans. It replaces manual diagrams and SNMP walkers.</description></item><item><title>Softaworks Agent Toolkit: A modular plugin marketplace for AI coding agents</title><link>https://ramdi.fr/github-stars/softaworks-agent-toolkit-a-modular-plugin-marketplace-for-ai-coding-agents/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/softaworks-agent-toolkit-a-modular-plugin-marketplace-for-ai-coding-agents/</guid><description>Softaworks Agent Toolkit offers 40+ modular AI skills and plugins for coding agents like Claude Code, enabling composable AI workflows via a plugin marketplace. Here&amp;rsquo;s how it works.</description></item><item><title>Trivy: a unified security scanner for container images, filesystems, and Kubernetes</title><link>https://ramdi.fr/github-stars/trivy-a-unified-security-scanner-for-container-images-filesystems-and-kubernetes/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/trivy-a-unified-security-scanner-for-container-images-filesystems-and-kubernetes/</guid><description>Trivy combines vulnerability detection, misconfiguration scanning, secret discovery, SBOM generation, and license analysis in one Go-based CLI tool for containers, filesystems, and Kubernetes clusters.</description></item><item><title>dive: a terminal tool for Docker image layer inspection and optimization</title><link>https://ramdi.fr/github-stars/dive-a-terminal-tool-for-docker-image-layer-inspection-and-optimization/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/dive-a-terminal-tool-for-docker-image-layer-inspection-and-optimization/</guid><description>dive provides an interactive TUI to analyze Docker/OCI image layers, identify wasted space, and optimize image size with CI integration support.</description></item><item><title>fd: a fast, user-friendly Rust alternative to Unix find with parallel command execution</title><link>https://ramdi.fr/github-stars/fd-a-fast-user-friendly-rust-alternative-to-unix-find-with-parallel-command-execution/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/fd-a-fast-user-friendly-rust-alternative-to-unix-find-with-parallel-command-execution/</guid><description>fd is a Rust-based replacement for find offering parallelized file search, .gitignore awareness, and powerful parallel command execution with GNU Parallel-style placeholders.</description></item><item><title>How ripgrep combines Rust and clever algorithms for blazing-fast recursive regex search</title><link>https://ramdi.fr/github-stars/how-ripgrep-combines-rust-and-clever-algorithms-for-blazing-fast-recursive-regex-search/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-ripgrep-combines-rust-and-clever-algorithms-for-blazing-fast-recursive-regex-search/</guid><description>ripgrep is a Rust-based recursive regex search tool that outperforms grep and similar tools through smart optimizations, Unicode handling, and SIMD algorithms.</description></item><item><title>Lazygit: a terminal UI that makes complex git operations accessible</title><link>https://ramdi.fr/github-stars/lazygit-a-terminal-ui-that-makes-complex-git-operations-accessible/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/lazygit-a-terminal-ui-that-makes-complex-git-operations-accessible/</guid><description>Lazygit is a Go-based terminal UI that wraps advanced git commands into an intuitive keyboard-driven interface. It simplifies staging, rebasing, bisecting, and more across platforms.</description></item><item><title>oh my zsh: a community-driven framework for managing zsh configurations</title><link>https://ramdi.fr/github-stars/oh-my-zsh-a-community-driven-framework-for-managing-zsh-configurations/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/oh-my-zsh-a-community-driven-framework-for-managing-zsh-configurations/</guid><description>Oh My Zsh is a shell configuration framework with 300+ plugins and 150+ themes, using a simple, universal plugin auto-loading pattern and zero dependencies beyond zsh, git, and curl/wget.</description></item><item><title>Sherlock: A modular Python CLI tool for username reconnaissance across 400+ social networks</title><link>https://ramdi.fr/github-stars/sherlock-a-modular-python-cli-tool-for-username-reconnaissance-across-400-social-networks/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/sherlock-a-modular-python-cli-tool-for-username-reconnaissance-across-400-social-networks/</guid><description>Sherlock is a Python CLI tool that checks username availability across 400+ social networks using a modular JSON-driven detection system. Practical, extensible, and flexible.</description></item><item><title>zx: turning Node.js into a first-class shell scripting environment</title><link>https://ramdi.fr/github-stars/zx-turning-node-js-into-a-first-class-shell-scripting-environment/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/zx-turning-node-js-into-a-first-class-shell-scripting-environment/</guid><description>zx is a JavaScript library from Google that transforms Node.js into a capable shell scripting tool with promise-based API, automatic escaping, and cross-platform support.</description></item><item><title>Agentlytics: local-first analytics for AI coding editors with dual Node.js and Deno modes</title><link>https://ramdi.fr/github-stars/agentlytics-local-first-analytics-for-ai-coding-editors-with-dual-node-js-and-deno-modes/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentlytics-local-first-analytics-for-ai-coding-editors-with-dual-node-js-and-deno-modes/</guid><description>Agentlytics aggregates session data from 17 AI coding editors locally, offering both a React dashboard with SQLite and a zero-dependency Deno CLI for privacy-focused analytics.</description></item><item><title>AlexClaw: An Elixir/OTP autonomous AI agent with tiered LLM routing and persistent memory</title><link>https://ramdi.fr/github-stars/alexclaw-an-elixir-otp-autonomous-ai-agent-with-tiered-llm-routing-and-persistent-memory/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/alexclaw-an-elixir-otp-autonomous-ai-agent-with-tiered-llm-routing-and-persistent-memory/</guid><description>AlexClaw is an Elixir/OTP autonomous AI agent that uses tiered LLM routing, a workflow engine, and PostgreSQL with pgvector for persistent semantic memory, all configurable at runtime.</description></item><item><title>Automating Matplotlib cheat sheets with programmatic figures and LaTeX</title><link>https://ramdi.fr/github-stars/automating-matplotlib-cheat-sheets-with-programmatic-figures-and-latex/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-matplotlib-cheat-sheets-with-programmatic-figures-and-latex/</guid><description>This repo automates Matplotlib cheat sheet generation by programmatically creating figures with Python and compiling polished PDFs using xelatex, offering a reproducible documentation workflow.</description></item><item><title>Automating remote NixOS installation with nixos-anywhere: a practical look</title><link>https://ramdi.fr/github-stars/automating-remote-nixos-installation-with-nixos-anywhere-a-practical-look/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-remote-nixos-installation-with-nixos-anywhere-a-practical-look/</guid><description>nixos-anywhere automates remote NixOS installation via SSH, using kexec for bare-metal provisioning without boot media. Here’s how it works under the hood and how to get started.</description></item><item><title>Balancing speed and accuracy in headless commerce with Saleor Storefront</title><link>https://ramdi.fr/github-stars/balancing-speed-and-accuracy-in-headless-commerce-with-saleor-storefront/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/balancing-speed-and-accuracy-in-headless-commerce-with-saleor-storefront/</guid><description>Saleor Storefront uses a hybrid caching model combining ISR and live fetches to deliver fast product pages and accurate cart data in headless commerce. Built with Next.js 16 and TypeScript.</description></item><item><title>Building a Next.js portfolio with GSAP animations and Zustand state management</title><link>https://ramdi.fr/github-stars/building-a-next-js-portfolio-with-gsap-animations-and-zustand-state-management/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-next-js-portfolio-with-gsap-animations-and-zustand-state-management/</guid><description>A Next.js TypeScript portfolio using GSAP for animations and Zustand for state, balancing rich effects with static site generation and accessibility.</description></item><item><title>Capso: a modular macOS screenshot and screen recording tool with reusable Swift packages</title><link>https://ramdi.fr/github-stars/capso-a-modular-macos-screenshot-and-screen-recording-tool-with-reusable-swift-packages/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/capso-a-modular-macos-screenshot-and-screen-recording-tool-with-reusable-swift-packages/</guid><description>Capso is an open-source macOS screenshot and screen recording app built in Swift with a modular architecture of reusable packages. It offers native features and a bring-your-own-storage cloud sharing model.</description></item><item><title>Cashew: A local-first Flutter budget app blending Drift SQL with Firebase sync</title><link>https://ramdi.fr/github-stars/cashew-a-local-first-flutter-budget-app-blending-drift-sql-with-firebase-sync/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/cashew-a-local-first-flutter-budget-app-blending-drift-sql-with-firebase-sync/</guid><description>Cashew is a Flutter-based cross-platform budget app using Drift for offline SQL storage and Firebase for authentication and sync. It balances local-first speed with cloud convenience.</description></item><item><title>cfpsec: a Python CLI for secure fetching of security conference CFPs</title><link>https://ramdi.fr/github-stars/cfpsec-a-python-cli-for-secure-fetching-of-security-conference-cfps/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/cfpsec-a-python-cli-for-secure-fetching-of-security-conference-cfps/</guid><description>cfpsec is a Python CLI tool that fetches Call For Papers data from cfptime.org with security-focused hardening like ANSI escape sanitization and CSV formula injection protection.</description></item><item><title>changedetection.io: AI-assisted web change monitoring with flexible fetchers and self-hosted notifications</title><link>https://ramdi.fr/github-stars/changedetection-io-ai-assisted-web-change-monitoring-with-flexible-fetchers-and-self-hosted-notifications/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/changedetection-io-ai-assisted-web-change-monitoring-with-flexible-fetchers-and-self-hosted-notifications/</guid><description>changedetection.io is a Python-based web monitoring tool that detects page content changes with AI filtering, supports HTTP and Playwright fetchers, and sends notifications via Discord, Slack, Telegram, and webhooks.</description></item><item><title>daymade/claude-code-skills: a production-hardened plugin marketplace for Claude Code skills</title><link>https://ramdi.fr/github-stars/daymade-claude-code-skills-a-production-hardened-plugin-marketplace-for-claude-code-skills/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/daymade-claude-code-skills-a-production-hardened-plugin-marketplace-for-claude-code-skills/</guid><description>daymade/claude-code-skills offers a robust plugin marketplace with 51 pre-built Claude Code skills and a hardened skill-creator fork featuring security scanning and expanded validation.</description></item><item><title>desktop-cc-gui: A Tauri-based desktop app unifying multiple AI coding engines with parallel agent execution</title><link>https://ramdi.fr/github-stars/desktop-cc-gui-a-tauri-based-desktop-app-unifying-multiple-ai-coding-engines-with-parallel-agent-execution/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/desktop-cc-gui-a-tauri-based-desktop-app-unifying-multiple-ai-coding-engines-with-parallel-agent-execution/</guid><description>desktop-cc-gui is a cross-platform Tauri app that centralizes multiple AI coding assistants like Claude Code and Codex CLI, featuring parallel agent execution and a rich development workbench.</description></item><item><title>DLLHijackHunter: Confirming real DLL hijacks on Windows with a canary DLL approach</title><link>https://ramdi.fr/github-stars/dllhijackhunter-confirming-real-dll-hijacks-on-windows-with-a-canary-dll-approach/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/dllhijackhunter-confirming-real-dll-hijacks-on-windows-with-a-canary-dll-approach/</guid><description>DLLHijackHunter is a C# tool for Windows that confirms DLL hijack vulnerabilities by deploying test DLLs and verifying execution, reducing false positives in detection.</description></item><item><title>EasyInvoicePDF: In-browser real-time invoice PDF generation with Next.js and React</title><link>https://ramdi.fr/github-stars/easyinvoicepdf-in-browser-real-time-invoice-pdf-generation-with-next-js-and-react/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/easyinvoicepdf-in-browser-real-time-invoice-pdf-generation-with-next-js-and-react/</guid><description>EasyInvoicePDF generates multi-language, multi-currency invoices entirely in-browser using Next.js and @react-pdf/renderer, offering instant live PDF previews without server uploads.</description></item><item><title>Exploring Firecrawl Web Agent: A layered autonomous web research agent built on LangChain Deep Agents</title><link>https://ramdi.fr/github-stars/exploring-firecrawl-web-agent-a-layered-autonomous-web-research-agent-built-on-langchain-deep-agents/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-firecrawl-web-agent-a-layered-autonomous-web-research-agent-built-on-langchain-deep-agents/</guid><description>Firecrawl Web Agent combines LangChain&amp;rsquo;s Deep Agents with Firecrawl&amp;rsquo;s web tools in a layered architecture from Next.js UI to raw API, enabling autonomous web research.</description></item><item><title>Filament: A Laravel-Centric UI Framework Simplifying Reactive Admin Panels</title><link>https://ramdi.fr/github-stars/filament-a-laravel-centric-ui-framework-simplifying-reactive-admin-panels/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/filament-a-laravel-centric-ui-framework-simplifying-reactive-admin-panels/</guid><description>Filament is a PHP UI framework built for Laravel 10+ that provides Livewire-powered reactive components to build admin panels with minimal JavaScript. It’s a monorepo with modular packages focused on developer productivity and scalability.</description></item><item><title>Flexible chunk-size Whisper inference with optimized on-device engines in TheWhisper</title><link>https://ramdi.fr/github-stars/flexible-chunk-size-whisper-inference-with-optimized-on-device-engines-in-thewhisper/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/flexible-chunk-size-whisper-inference-with-optimized-on-device-engines-in-thewhisper/</guid><description>TheWhisper breaks Whisper&amp;rsquo;s 30s fixed chunk limit by supporting flexible chunk sizes for streaming speech-to-text. It provides optimized CoreML and CUDA engines for Apple Silicon and NVIDIA GPUs.</description></item><item><title>Goal-Driven: orchestrating long-lived AI agents with prompt-based verification loops</title><link>https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/goal-driven-orchestrating-long-lived-ai-agents-with-prompt-based-verification-loops/</guid><description>Goal-Driven offers a prompt-based master-subagent architecture to sustain long-running AI problem-solving sessions through a verification-driven orchestration loop without code or frameworks.</description></item><item><title>google/agents-cli: a Python CLI for AI agent lifecycle management on Google Cloud</title><link>https://ramdi.fr/github-stars/google-agents-cli-a-python-cli-for-ai-agent-lifecycle-management-on-google-cloud/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/google-agents-cli-a-python-cli-for-ai-agent-lifecycle-management-on-google-cloud/</guid><description>google/agents-cli enhances coding assistants with skills for building, evaluating, and deploying AI agents on Google Cloud&amp;rsquo;s ADK. It offers a modular CLI workflow covering agent scaffolding to observability.</description></item><item><title>HASH: Autonomous AI-driven knowledge graph platform with Rust and multi-service architecture</title><link>https://ramdi.fr/github-stars/hash-autonomous-ai-driven-knowledge-graph-platform-with-rust-and-multi-service-architecture/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/hash-autonomous-ai-driven-knowledge-graph-platform-with-rust-and-multi-service-architecture/</guid><description>HASH is a Rust-based multi-tenant knowledge graph platform using autonomous AI agents to build and validate data. It combines Rust backend, TypeScript workers, and Docker services with LLM integrations.</description></item><item><title>How comfyui-custom-node-skills turns Claude Code into a ComfyUI node development expert</title><link>https://ramdi.fr/github-stars/how-comfyui-custom-node-skills-turns-claude-code-into-a-comfyui-node-development-expert/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-comfyui-custom-node-skills-turns-claude-code-into-a-comfyui-node-development-expert/</guid><description>comfyui-custom-node-skills equips Claude Code with 9 skills to master ComfyUI custom node development, covering full lifecycle with trigger-based loading and verified source alignment.</description></item><item><title>How Kiln orchestrates multi-agent AI workflows using markdown and Claude Code</title><link>https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-kiln-orchestrates-multi-agent-ai-workflows-using-markdown-and-claude-code/</guid><description>Kiln implements a 7-step multi-agent AI pipeline entirely through markdown files and Claude Code&amp;rsquo;s native primitives, avoiding any runtime or package dependencies.</description></item><item><title>How obsidian-second-brain transforms your Obsidian vault into an AI-maintained knowledge base</title><link>https://ramdi.fr/github-stars/how-obsidian-second-brain-transforms-your-obsidian-vault-into-an-ai-maintained-knowledge-base/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-obsidian-second-brain-transforms-your-obsidian-vault-into-an-ai-maintained-knowledge-base/</guid><description>obsidian-second-brain rewrites Obsidian vault pages autonomously using Claude Code agents, detecting contradictions and running scheduled maintenance for a self-healing AI knowledge base.</description></item><item><title>How Wicked Engine's modular architecture simplifies rendering customization in C++ 3D development</title><link>https://ramdi.fr/github-stars/how-wicked-engine-s-modular-architecture-simplifies-rendering-customization-in-c-3d-development/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-wicked-engine-s-modular-architecture-simplifies-rendering-customization-in-c-3d-development/</guid><description>Wicked Engine is a cross-platform C++ 3D engine with a modular RenderPath system and ECS, enabling flexible rendering pipelines and Lua scripting for prototyping.</description></item><item><title>hw-smi: a minimal C++ hardware telemetry monitor using direct vendor APIs</title><link>https://ramdi.fr/github-stars/hw-smi-a-minimal-c-hardware-telemetry-monitor-using-direct-vendor-apis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/hw-smi-a-minimal-c-hardware-telemetry-monitor-using-direct-vendor-apis/</guid><description>hw-smi is a minimal C++ tool for CPU/GPU telemetry that bypasses OS layers to read metrics directly from vendor APIs. It documents real-world vendor API fragmentation and runs lightweight ASCII terminal UIs.</description></item><item><title>Inside Claude Code: A detailed reconstruction of Anthropic's AI safety and architecture</title><link>https://ramdi.fr/github-stars/inside-claude-code-a-detailed-reconstruction-of-anthropic-s-ai-safety-and-architecture/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-claude-code-a-detailed-reconstruction-of-anthropic-s-ai-safety-and-architecture/</guid><description>A deep dive into Claude Code’s 512K lines of TypeScript reveals a layered YOLO safety classifier, multi-agent IPC, and terminal UI rendering—key to Anthropic’s AI production system.</description></item><item><title>Inside Genie Sim 3.0: LLM-driven embodied AI simulation with high-fidelity 3D scenes</title><link>https://ramdi.fr/github-stars/inside-genie-sim-3-0-llm-driven-embodied-ai-simulation-with-high-fidelity-3d-scenes/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-genie-sim-3-0-llm-driven-embodied-ai-simulation-with-high-fidelity-3d-scenes/</guid><description>Genie Sim 3.0 is an open-source platform combining 3D Gaussian Splatting and LLM-driven scene generation for embodied AI simulation, offering large-scale synthetic data and low sim-to-real discrepancy.</description></item><item><title>Inside santifer/cv-santiago: a production-grade AI-powered portfolio with robust security and evaluation</title><link>https://ramdi.fr/github-stars/inside-santifer-cv-santiago-a-production-grade-ai-powered-portfolio-with-robust-security-and-evaluation/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-santifer-cv-santiago-a-production-grade-ai-powered-portfolio-with-robust-security-and-evaluation/</guid><description>santifer/cv-santiago offers an interactive portfolio CV with a dual-mode AI chatbot, hybrid search, multi-layer prompt injection defenses, and a closed-loop evaluation pipeline for production-grade AI security.</description></item><item><title>Magento Open Source: A community-driven foundation for e-commerce</title><link>https://ramdi.fr/github-stars/magento-open-source-a-community-driven-foundation-for-e-commerce/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/magento-open-source-a-community-driven-foundation-for-e-commerce/</guid><description>Magento Open Source is a PHP-based e-commerce platform emphasizing community maintainers with elevated permissions and strong security practices. It offers a foundation for building online stores with active community governance.</description></item><item><title>Mapping the AI agent self-evolution ecosystem with the awesome-agent-evolution taxonomy</title><link>https://ramdi.fr/github-stars/mapping-the-ai-agent-self-evolution-ecosystem-with-the-awesome-agent-evolution-taxonomy/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-ai-agent-self-evolution-ecosystem-with-the-awesome-agent-evolution-taxonomy/</guid><description>The awesome-agent-evolution repo organizes 50+ open-source projects into a clear taxonomy of AI agent self-evolution and infrastructure layers, offering a practical ecosystem map for developers.</description></item><item><title>Mapping the landscape of terminal-native AI coding agents: a curated directory analysis</title><link>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</guid><description>A curated directory catalogs over 80 terminal-native AI coding agents and harnesses, highlighting open-source projects, platform agents, and emerging architectural patterns in the CLI AI agent space.</description></item><item><title>MedRAX: orchestrating specialized AI tools for chest X-ray analysis with dynamic routing</title><link>https://ramdi.fr/github-stars/medrax-orchestrating-specialized-ai-tools-for-chest-x-ray-analysis-with-dynamic-routing/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/medrax-orchestrating-specialized-ai-tools-for-chest-x-ray-analysis-with-dynamic-routing/</guid><description>MedRAX uses GPT-4o to dynamically route medical queries across multiple AI models for chest X-ray interpretation. It offers modular, tool-agnostic orchestration with a Gradio interface.</description></item><item><title>Musicat: a Tauri desktop music player blending Rust backend with Svelte UI</title><link>https://ramdi.fr/github-stars/musicat-a-tauri-desktop-music-player-blending-rust-backend-with-svelte-ui/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/musicat-a-tauri-desktop-music-player-blending-rust-backend-with-svelte-ui/</guid><description>Musicat is a desktop music player using a Rust backend for audio and filesystem tasks with a Svelte frontend via Tauri. It references original music files without copying, supporting gapless playback and metadata tagging.</description></item><item><title>Octopoda-OS: a memory layer for AI agents with loop detection and audit trails</title><link>https://ramdi.fr/github-stars/octopoda-os-a-memory-layer-for-ai-agents-with-loop-detection-and-audit-trails/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/octopoda-os-a-memory-layer-for-ai-agents-with-loop-detection-and-audit-trails/</guid><description>Octopoda-OS is a Python library providing persistent memory, loop detection, and audit trails for AI agents. It supports SQLite/PostgreSQL, zero-config runtime, and cloud sync.</description></item><item><title>Open Deep Research: A Next.js 16 agentic AI assistant for iterative web research</title><link>https://ramdi.fr/github-stars/open-deep-research-a-next-js-16-agentic-ai-assistant-for-iterative-web-research/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-deep-research-a-next-js-16-agentic-ai-assistant-for-iterative-web-research/</guid><description>Open Deep Research is a TypeScript Next.js 16 app that uses an LLM to plan, execute, and iterate web research via Exa and Upstash QStash, producing sourced reports with images.</description></item><item><title>Orca: orchestrating multiple AI coding agents with git worktree isolation</title><link>https://ramdi.fr/github-stars/orca-orchestrating-multiple-ai-coding-agents-with-git-worktree-isolation/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/orca-orchestrating-multiple-ai-coding-agents-with-git-worktree-isolation/</guid><description>Orca is a cross-platform IDE that runs multiple AI coding agents in isolated Git worktrees, enabling parallel development without branch conflicts. Subscription-agnostic and feature-rich.</description></item><item><title>Personal security checklist powered by a single YAML source: architecture and insights</title><link>https://ramdi.fr/github-stars/personal-security-checklist-powered-by-a-single-yaml-source-architecture-and-insights/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/personal-security-checklist-powered-by-a-single-yaml-source-architecture-and-insights/</guid><description>A TypeScript project using one YAML file to drive a static site, REST API, and markdown docs for personal security tips. Explore its architecture and tradeoffs.</description></item><item><title>PlainApp: A self-hosted Android phone management server with layered local network encryption</title><link>https://ramdi.fr/github-stars/plainapp-a-self-hosted-android-phone-management-server-with-layered-local-network-encryption/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/plainapp-a-self-hosted-android-phone-management-server-with-layered-local-network-encryption/</guid><description>PlainApp turns your Android phone into a self-hosted management server with end-to-end encryption via TLS plus XChaCha20-Poly1305 on the local network. No cloud needed.</description></item><item><title>rclone: modular Go CLI for syncing with 100+ cloud storage providers</title><link>https://ramdi.fr/github-stars/rclone-modular-go-cli-for-syncing-with-100-cloud-storage-providers/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/rclone-modular-go-cli-for-syncing-with-100-cloud-storage-providers/</guid><description>rclone is a Go-based CLI tool for syncing files across 100+ cloud providers with features like data integrity checks, flexible sync modes, and virtual storage layers.</description></item><item><title>react-komik: Declarative React components for programmatic comic strips on canvas</title><link>https://ramdi.fr/github-stars/react-komik-declarative-react-components-for-programmatic-comic-strips-on-canvas/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/react-komik-declarative-react-components-for-programmatic-comic-strips-on-canvas/</guid><description>react-komik offers composable React components that abstract fabric.js canvas drawing, enabling programmatic comic strip creation with configurable layouts and styling. It supports both NPM and UMD usage.</description></item><item><title>Repurposing the ASRock AMD BC-250: Community-driven firmware unlocking on PS5-derived silicon</title><link>https://ramdi.fr/github-stars/repurposing-the-asrock-amd-bc-250-community-driven-firmware-unlocking-on-ps5-derived-silicon/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/repurposing-the-asrock-amd-bc-250-community-driven-firmware-unlocking-on-ps5-derived-silicon/</guid><description>The ASRock AMD BC-250 mining board uses PS5-derived silicon with 6 Zen 2 cores and a 24CU RDNA2 GPU sharing 16GB GDDR6. This repo documents community firmware mods and Linux GPU support.</description></item><item><title>secrets-patterns-db: expanding regex coverage for secret scanning in codebases</title><link>https://ramdi.fr/github-stars/secrets-patterns-db-expanding-regex-coverage-for-secret-scanning-in-codebases/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/secrets-patterns-db-expanding-regex-coverage-for-secret-scanning-in-codebases/</guid><description>secrets-patterns-db offers over 1600 regex patterns for detecting secrets in code, doubling coverage compared to TruffleHog and vastly outpacing Gitleaks. It enhances AppSec scanning with tested, categorized regexes.</description></item><item><title>ShichiZip: a native macOS 7-Zip manager with a Swift UI and Zig core</title><link>https://ramdi.fr/github-stars/shichizip-a-native-macos-7-zip-manager-with-a-swift-ui-and-zig-core/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/shichizip-a-native-macos-7-zip-manager-with-a-swift-ui-and-zig-core/</guid><description>ShichiZip is a macOS native 7-Zip file manager built with a Swift UI and a Zig-compiled core library. It offers macOS-specific features and cross-architecture builds with a clear separation of UI and archive handling.</description></item><item><title>SkillClaw: A modular Python framework for orchestrating AI agents across OpenAI-compatible and AWS Bedrock APIs</title><link>https://ramdi.fr/github-stars/skillclaw-a-modular-python-framework-for-orchestrating-ai-agents-across-openai-compatible-and-aws-bedrock-apis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillclaw-a-modular-python-framework-for-orchestrating-ai-agents-across-openai-compatible-and-aws-bedrock-apis/</guid><description>SkillClaw is a Python framework enabling flexible AI agent orchestration across OpenAI-compatible and AWS Bedrock APIs, focusing on modularity and provider-agnostic design.</description></item><item><title>Snip: a visual feedback layer for AI coding agents with local AI processing</title><link>https://ramdi.fr/github-stars/snip-a-visual-feedback-layer-for-ai-coding-agents-with-local-ai-processing/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/snip-a-visual-feedback-layer-for-ai-coding-agents-with-local-ai-processing/</guid><description>Snip enhances AI coding agents by rendering visual outputs and enabling spatial annotations as structured feedback. It runs all AI locally, supporting multiple agents and offering a CLI and MCP server.</description></item><item><title>Standardizing AI agent workflows with xcrawl-skills for web data APIs</title><link>https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-xcrawl-skills-for-web-data-apis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-xcrawl-skills-for-web-data-apis/</guid><description>xcrawl-skills defines standardized AI agent skills with normalized inputs/outputs for web data tasks like scraping and crawling via the XCrawl API. It enables multi-agent orchestration with minimal integration.</description></item><item><title>Telegram Drive: Using Telegram as Personal Cloud Storage with a Native Desktop File Explorer</title><link>https://ramdi.fr/github-stars/telegram-drive-using-telegram-as-personal-cloud-storage-with-a-native-desktop-file-explorer/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/telegram-drive-using-telegram-as-personal-cloud-storage-with-a-native-desktop-file-explorer/</guid><description>Telegram Drive repurposes Telegram&amp;rsquo;s messaging API into a filesystem-like desktop app with Rust backend, React frontend, and virtual scrolling for large file sets. Cross-platform and privacy-focused.</description></item><item><title>TinyAGI: A lightweight multi-agent orchestration platform with SQLite-backed task queue</title><link>https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/tinyagi-a-lightweight-multi-agent-orchestration-platform-with-sqlite-backed-task-queue/</guid><description>TinyAGI is a TypeScript platform for solo operators managing multiple AI agent teams. It uses a SQLite queue with atomic transactions for reliable async task processing and supports multi-channel messaging.</description></item><item><title>4DGen: geometry-consistent multi-view RGB-D video generation for robotic manipulation</title><link>https://ramdi.fr/github-stars/4dgen-geometry-consistent-multi-view-rgb-d-video-generation-for-robotic-manipulation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/4dgen-geometry-consistent-multi-view-rgb-d-video-generation-for-robotic-manipulation/</guid><description>4DGen extends Stable Video Diffusion to generate geometry-consistent multi-view RGB-D videos from single RGB-D inputs using pointmap latents. Trained on multi-view robotic datasets, it enables robot pose extraction from generated videos.</description></item><item><title>Action100M: Hierarchical Tree-of-Captions for Multi-Scale Video Understanding</title><link>https://ramdi.fr/github-stars/action100m-hierarchical-tree-of-captions-for-multi-scale-video-understanding/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/action100m-hierarchical-tree-of-captions-for-multi-scale-video-understanding/</guid><description>Action100M provides a hierarchical Tree-of-Captions annotation for 100M video segments, enabling multi-scale video understanding with LLM-generated captions. Explore its structure, tech strengths, and how to access the data.</description></item><item><title>Aeon: a TypeScript Autonomous Agent Framework with a self-healing skill architecture</title><link>https://ramdi.fr/github-stars/aeon-a-typescript-autonomous-agent-framework-with-a-self-healing-skill-architecture/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/aeon-a-typescript-autonomous-agent-framework-with-a-self-healing-skill-architecture/</guid><description>Aeon is a TypeScript framework for autonomous agents running on GitHub Actions, featuring a self-healing loop and modular skill system with persistent memory and quality scoring.</description></item><item><title>agentic-stack: portable multi-agent memory for AI coding assistants</title><link>https://ramdi.fr/github-stars/agentic-stack-portable-multi-agent-memory-for-ai-coding-assistants/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentic-stack-portable-multi-agent-memory-for-ai-coding-assistants/</guid><description>agentic-stack provides a harness-agnostic shared memory layer for AI coding agents, enabling seamless context persistence and migration across tools like Claude Code and Cursor.</description></item><item><title>Alibaba's Qwen3.6: Efficient large-scale LLMs with gated delta networks and sparse MoE</title><link>https://ramdi.fr/github-stars/alibaba-s-qwen3-6-efficient-large-scale-llms-with-gated-delta-networks-and-sparse-moe/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/alibaba-s-qwen3-6-efficient-large-scale-llms-with-gated-delta-networks-and-sparse-moe/</guid><description>Qwen3.6 from Alibaba uses gated delta networks and sparse Mixture-of-Experts to achieve near-397B parameter model performance with only 3B active parameters, supporting 201 languages and 262k context length.</description></item><item><title>autoMate: a local-first AI hub exposing 40+ tools via MCP-over-HTTP</title><link>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</guid><description>autoMate exposes 40+ AI tools and 31 SaaS APIs via MCP-over-HTTP on localhost, with encrypted storage and multi-provider LLM support. A local AI infrastructure hub with privacy-first design.</description></item><item><title>Automating faceless video content creation with AI workflows and Syllaby.io</title><link>https://ramdi.fr/github-stars/automating-faceless-video-content-creation-with-ai-workflows-and-syllaby-io/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-faceless-video-content-creation-with-ai-workflows-and-syllaby-io/</guid><description>Explore how this guide and course structure the automation of faceless video content creation using AI tools, focusing on workflow, multi-platform scheduling, and monetization strategies.</description></item><item><title>BotBrowser: a Chromium core with per-context fingerprint bundles for cross-platform privacy uniformity</title><link>https://ramdi.fr/github-stars/botbrowser-a-chromium-core-with-per-context-fingerprint-bundles-for-cross-platform-privacy-uniformity/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/botbrowser-a-chromium-core-with-per-context-fingerprint-bundles-for-cross-platform-privacy-uniformity/</guid><description>BotBrowser modifies Chromium to provide deterministic fingerprint uniformity across platforms with multi-layer noise injection and per-context bundles, saving 29% memory at scale.</description></item><item><title>Boxer3D: On-device real-time 3D object detection on iPhone with LiDAR and deep learning</title><link>https://ramdi.fr/github-stars/boxer3d-on-device-real-time-3d-object-detection-on-iphone-with-lidar-and-deep-learning/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/boxer3d-on-device-real-time-3d-object-detection-on-iphone-with-lidar-and-deep-learning/</guid><description>Boxer3D is a native Swift iOS app that runs real-time 3D object detection on iPhone using LiDAR and a YOLO11n+BoxerNet pipeline accelerated by ONNX Runtime and CoreML.</description></item><item><title>Bug Hunter: adversarial multi-agent AI for runtime code bug detection and auto-fixing</title><link>https://ramdi.fr/github-stars/bug-hunter-adversarial-multi-agent-ai-for-runtime-code-bug-detection-and-auto-fixing/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/bug-hunter-adversarial-multi-agent-ai-for-runtime-code-bug-detection-and-auto-fixing/</guid><description>Bug Hunter uses an adversarial multi-agent AI pipeline to detect and auto-fix runtime code bugs with low false positives across 9 languages and frameworks.</description></item><item><title>Building a zero-cost currency exchange API with CDN-hosted static files</title><link>https://ramdi.fr/github-stars/building-a-zero-cost-currency-exchange-api-with-cdn-hosted-static-files/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-zero-cost-currency-exchange-api-with-cdn-hosted-static-files/</guid><description>Explore how exchange-api delivers real-time and historical currency rates via CDN-hosted static JSON files, achieving zero rate limits and blazing fast responses without a traditional backend.</description></item><item><title>Building machine learning intuition through engineering analogies with thereisnospoon</title><link>https://ramdi.fr/github-stars/building-machine-learning-intuition-through-engineering-analogies-with-thereisnospoon/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-machine-learning-intuition-through-engineering-analogies-with-thereisnospoon/</guid><description>There Is No Spoon offers a unique ML primer for software engineers, using physical analogies to build deep intuition for neural networks and architectures beyond memorization.</description></item><item><title>Building production-ready RAG workflows with n8n using free JSON templates</title><link>https://ramdi.fr/github-stars/building-production-ready-rag-workflows-with-n8n-using-free-json-templates/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-production-ready-rag-workflows-with-n8n-using-free-json-templates/</guid><description>Explore over 200 pre-built n8n workflow templates integrating vector databases, embedding models, and LLMs for rapid RAG workflow prototyping and deployment without coding.</description></item><item><title>ChatTTS: conversational text-to-speech with prosodic control and responsible AI tradeoffs</title><link>https://ramdi.fr/github-stars/chattts-conversational-text-to-speech-with-prosodic-control-and-responsible-ai-tradeoffs/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/chattts-conversational-text-to-speech-with-prosodic-control-and-responsible-ai-tradeoffs/</guid><description>ChatTTS is an open-source conversational text-to-speech model trained on 100,000+ hours of bilingual audio. It offers fine-grained prosodic control and employs intentional quality degradation to prevent misuse.</description></item><item><title>Claude Code Hooks: audible notifications for AI agent lifecycle events</title><link>https://ramdi.fr/github-stars/claude-code-hooks-audible-notifications-for-ai-agent-lifecycle-events/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-hooks-audible-notifications-for-ai-agent-lifecycle-events/</guid><description>Claude Code Hooks maps Claude Code AI agent lifecycle events to audio signals, providing developers with real-time audible feedback for 27 agent states without terminal watching.</description></item><item><title>ClawSync: A Convex-based multi-agent AI platform with shared soul documents and per-agent model routing</title><link>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</guid><description>ClawSync offers a multi-agent AI platform using Convex backend, with shared soul documents for reusable personalities and per-agent model routing across popular LLMs. Explore its architecture and setup.</description></item><item><title>CodeBurn: local-first CLI for multi-provider AI coding session cost and productivity tracking</title><link>https://ramdi.fr/github-stars/codeburn-local-first-cli-for-multi-provider-ai-coding-session-cost-and-productivity-tracking/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/codeburn-local-first-cli-for-multi-provider-ai-coding-session-cost-and-productivity-tracking/</guid><description>CodeBurn is a local CLI tool parsing session data from 18 AI coding assistants to provide token cost and task tracking via a TUI dashboard, with no cloud dependency.</description></item><item><title>CodeBurn: Local-first TUI for detailed AI coding token cost and efficiency tracking</title><link>https://ramdi.fr/github-stars/codeburn-local-first-tui-for-detailed-ai-coding-token-cost-and-efficiency-tracking/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/codeburn-local-first-tui-for-detailed-ai-coding-token-cost-and-efficiency-tracking/</guid><description>CodeBurn is a TypeScript TUI dashboard that tracks token usage, costs, and AI coding efficiency across 18 tools. It calculates one-shot success rates to measure AI performance beyond cost.</description></item><item><title>CodeFlow: Static code analysis and architecture visualization entirely in the browser</title><link>https://ramdi.fr/github-stars/codeflow-static-code-analysis-and-architecture-visualization-entirely-in-the-browser/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/codeflow-static-code-analysis-and-architecture-visualization-entirely-in-the-browser/</guid><description>CodeFlow transforms GitHub repos into interactive architecture maps with client-side parsing of 35+ languages, blast radius analysis, security checks, and health scoring.</description></item><item><title>CodeFormer: Deep learning-based blind face restoration with fidelity control</title><link>https://ramdi.fr/github-stars/codeformer-deep-learning-based-blind-face-restoration-with-fidelity-control/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/codeformer-deep-learning-based-blind-face-restoration-with-fidelity-control/</guid><description>CodeFormer uses a codebook transformer architecture for blind face restoration, letting users control the tradeoff between quality and fidelity with a unique fidelity weight parameter.</description></item><item><title>CoreExtendedNFC: Bringing libnfc Protocol Logic to iOS with Pure Swift</title><link>https://ramdi.fr/github-stars/coreextendednfc-bringing-libnfc-protocol-logic-to-ios-with-pure-swift/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/coreextendednfc-bringing-libnfc-protocol-logic-to-ios-with-pure-swift/</guid><description>CoreExtendedNFC ports libnfc protocol-layer logic to iOS via CoreNFC, enabling high-level NFC operations in pure Swift with zero external dependencies and comprehensive test coverage.</description></item><item><title>Curated machine learning video courses on YouTube by dair-ai/ML-YouTube-Courses</title><link>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</guid><description>A community-curated list of free machine learning courses on YouTube that organizes and vets educational content for practical learners and enthusiasts.</description></item><item><title>Databasus: a self-hosted, secure, multi-cloud database backup solution in Go</title><link>https://ramdi.fr/github-stars/databasus-a-self-hosted-secure-multi-cloud-database-backup-solution-in-go/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/databasus-a-self-hosted-secure-multi-cloud-database-backup-solution-in-go/</guid><description>Databasus is a Go-based self-hosted database backup tool supporting Postgres, MySQL, and MongoDB with multi-cloud storage, encryption, and flexible scheduling. Its agent mode enhances security.</description></item><item><title>DeepDrone: natural language AI control for drones with real-time telemetry and MAVLink integration</title><link>https://ramdi.fr/github-stars/deepdrone-natural-language-ai-control-for-drones-with-real-time-telemetry-and-mavlink-integration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepdrone-natural-language-ai-control-for-drones-with-real-time-telemetry-and-mavlink-integration/</guid><description>DeepDrone uses LLMs to translate natural language commands into structured drone operations via MAVLink, with real-time telemetry and safety constraints. Python backend, FastAPI, LiteLLM, and JS frontend.</description></item><item><title>diagram-design: generating editorial-quality SVG diagrams with progressive disclosure architecture</title><link>https://ramdi.fr/github-stars/diagram-design-generating-editorial-quality-svg-diagrams-with-progressive-disclosure-architecture/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/diagram-design-generating-editorial-quality-svg-diagrams-with-progressive-disclosure-architecture/</guid><description>diagram-design generates 14 editorial-quality SVG diagram types as self-contained HTML+SVG files with zero JavaScript. It uses a clever progressive disclosure pattern to keep references lean and supports accessible theming.</description></item><item><title>dj-control-room: a Django admin extension with plugin architecture using Python entry points</title><link>https://ramdi.fr/github-stars/dj-control-room-a-django-admin-extension-with-plugin-architecture-using-python-entry-points/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/dj-control-room-a-django-admin-extension-with-plugin-architecture-using-python-entry-points/</guid><description>dj-control-room is a Django admin extension that centralizes multiple admin panels via a plugin system using Python entry points, enabling zero-configuration panel discovery and secure third-party integration.</description></item><item><title>DockMon: secure multi-host Docker monitoring with a lightweight Go agent and real-time metrics</title><link>https://ramdi.fr/github-stars/dockmon-secure-multi-host-docker-monitoring-with-a-lightweight-go-agent-and-real-time-metrics/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/dockmon-secure-multi-host-docker-monitoring-with-a-lightweight-go-agent-and-real-time-metrics/</guid><description>DockMon offers secure multi-host Docker monitoring with a Go agent using mTLS, FastAPI backend, React frontend, real-time dashboards, and multi-channel alerts. A solid choice for enterprise-grade observability.</description></item><item><title>DroneAware Node: turning a Raspberry Pi into a distributed drone detection sensor</title><link>https://ramdi.fr/github-stars/droneaware-node-turning-a-raspberry-pi-into-a-distributed-drone-detection-sensor/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/droneaware-node-turning-a-raspberry-pi-into-a-distributed-drone-detection-sensor/</guid><description>DroneAware Node uses Raspberry Pi with BLE and WiFi to capture FAA Remote ID broadcasts, building a community-powered drone detection network with a simple install.</description></item><item><title>DSPy agent skills pack with GEPA optimization for Claude Code and Codex CLI</title><link>https://ramdi.fr/github-stars/dspy-agent-skills-pack-with-gepa-optimization-for-claude-code-and-codex-cli/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/dspy-agent-skills-pack-with-gepa-optimization-for-claude-code-and-codex-cli/</guid><description>Explore a production-grade pack of DSPy 3.2.x agent skills with GEPA optimization, delivering up to +19.53 accuracy on RAG QA for Claude Code and Codex CLI agents.</description></item><item><title>Elato-Local: a local voice AI platform bridging desktop and embedded IoT on Apple Silicon</title><link>https://ramdi.fr/github-stars/elato-local-a-local-voice-ai-platform-bridging-desktop-and-embedded-iot-on-apple-silicon/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/elato-local-a-local-voice-ai-platform-bridging-desktop-and-embedded-iot-on-apple-silicon/</guid><description>Elato-Local is a local voice AI platform combining Whisper ASR, local LLMs, and ESP32-S3 firmware flashing from a Tauri desktop app. It enables subscription-free, privacy-first AI on Apple Silicon with embedded device integration.</description></item><item><title>esp-claw: running a full AI agent loop on ESP32 edge devices</title><link>https://ramdi.fr/github-stars/esp-claw-running-a-full-ai-agent-loop-on-esp32-edge-devices/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/esp-claw-running-a-full-ai-agent-loop-on-esp32-edge-devices/</guid><description>esp-claw runs a complete AI agent loop locally on ESP32 chips, integrating Lua scripting, MCP protocol, and LLM APIs for on-device decision making with millisecond response times.</description></item><item><title>esp-drone: Wi-Fi controlled drone firmware ported to ESP32 from Crazyflie</title><link>https://ramdi.fr/github-stars/esp-drone-wi-fi-controlled-drone-firmware-ported-to-esp32-from-crazyflie/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/esp-drone-wi-fi-controlled-drone-firmware-ported-to-esp32-from-crazyflie/</guid><description>esp-drone ports Crazyflie drone firmware to ESP32 SoCs, replacing proprietary radio with Wi-Fi for flight control. It supports stabilize, height-hold, and position-hold modes.</description></item><item><title>Evilginx 3: A Go-based transparent reverse proxy for phishing and MFA bypass</title><link>https://ramdi.fr/github-stars/evilginx-3-a-go-based-transparent-reverse-proxy-for-phishing-and-mfa-bypass/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/evilginx-3-a-go-based-transparent-reverse-proxy-for-phishing-and-mfa-bypass/</guid><description>Evilginx 3 is a standalone Go framework implementing HTTP/DNS servers to transparently intercept and modify traffic for phishing and MFA bypass using session hijacking.</description></item><item><title>Exploring Three.js morph target resizing in a React 3D room designer</title><link>https://ramdi.fr/github-stars/exploring-three-js-morph-target-resizing-in-a-react-3d-room-designer/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-three-js-morph-target-resizing-in-a-react-3d-room-designer/</guid><description>This repo combines a 2D floor plan editor with a 3D room configurator using React and Three.js, featuring morph target-based model resizing for realistic product configuration.</description></item><item><title>FinalRecon: a unified Python CLI for comprehensive web reconnaissance and OSINT automation</title><link>https://ramdi.fr/github-stars/finalrecon-a-unified-python-cli-for-comprehensive-web-reconnaissance-and-osint-automation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/finalrecon-a-unified-python-cli-for-comprehensive-web-reconnaissance-and-osint-automation/</guid><description>FinalRecon consolidates fragmented OSINT and web reconnaissance workflows into a single Python CLI tool, integrating multiple data sources and scanning techniques with modular API key support.</description></item><item><title>Frappe DataTable: a lightweight, high-performance JavaScript datagrid without jQuery</title><link>https://ramdi.fr/github-stars/frappe-datatable-a-lightweight-high-performance-javascript-datagrid-without-jquery/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-datatable-a-lightweight-high-performance-javascript-datagrid-without-jquery/</guid><description>Frappe DataTable is a modern JS library for large datasets with inline editing, keyboard nav, and tree rows—built without jQuery for performance and flexibility.</description></item><item><title>Hierarchical brute force for gate remotes with Flipper Zero .sub files</title><link>https://ramdi.fr/github-stars/hierarchical-brute-force-for-gate-remotes-with-flipper-zero-sub-files/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/hierarchical-brute-force-for-gate-remotes-with-flipper-zero-sub-files/</guid><description>This Python tool generates Flipper Zero files to brute force gate remotes using hierarchical binary search on 6561 DIP switch combinations, cutting brute force time drastically.</description></item><item><title>HomeDock OS: A browser-based personal cloud desktop with Docker orchestration and strong encryption</title><link>https://ramdi.fr/github-stars/homedock-os-a-browser-based-personal-cloud-desktop-with-docker-orchestration-and-strong-encryption/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/homedock-os-a-browser-based-personal-cloud-desktop-with-docker-orchestration-and-strong-encryption/</guid><description>HomeDock OS turns any machine into a self-hosted cloud with a full web desktop, Docker app orchestration, and AES-256 encrypted storage, running cross-platform.</description></item><item><title>How Claude Code's generate-shortcuts-skill turns AI into a macOS Shortcuts generator</title><link>https://ramdi.fr/github-stars/how-claude-code-s-generate-shortcuts-skill-turns-ai-into-a-macos-shortcuts-generator/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-claude-code-s-generate-shortcuts-skill-turns-ai-into-a-macos-shortcuts-generator/</guid><description>Explore how a prompt-engineering skill package enables Claude Code AI to generate valid macOS/iOS Shortcuts plist files without runtime code, using structured markdown references.</description></item><item><title>Inside a curated collection of developer portfolios: what tech stacks top builders use</title><link>https://ramdi.fr/github-stars/inside-a-curated-collection-of-developer-portfolios-what-tech-stacks-top-builders-use/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-a-curated-collection-of-developer-portfolios-what-tech-stacks-top-builders-use/</guid><description>A deep dive into a popular GitHub repo curating developer portfolios, revealing dominant frontend stacks, deployment trends, and animation library choices among top personal sites.</description></item><item><title>Inside capa: a Python engine for binary capability analysis with instruction-level evidence</title><link>https://ramdi.fr/github-stars/inside-capa-a-python-engine-for-binary-capability-analysis-with-instruction-level-evidence/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-capa-a-python-engine-for-binary-capability-analysis-with-instruction-level-evidence/</guid><description>Explore capa, a Python tool by Mandiant that analyzes binaries to identify capabilities via rule matching, with detailed evidence tracing for malware analysts.</description></item><item><title>Inside Company Research Agent: automating business intelligence with multi-API AI agents</title><link>https://ramdi.fr/github-stars/inside-company-research-agent-automating-business-intelligence-with-multi-api-ai-agents/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-company-research-agent-automating-business-intelligence-with-multi-api-ai-agents/</guid><description>Company Research Agent automates detailed business research by orchestrating OpenAI, Google Gemini, Tavily APIs and geolocation data via a Python backend and Node.js frontend. Setup script streamlines install.</description></item><item><title>Inside Euro-Office desktop-apps: a C++ frontend shell for a cross-platform offline office suite</title><link>https://ramdi.fr/github-stars/inside-euro-office-desktop-apps-a-c-frontend-shell-for-a-cross-platform-offline-office-suite/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-euro-office-desktop-apps-a-c-frontend-shell-for-a-cross-platform-offline-office-suite/</guid><description>Euro-Office/desktop-apps is a C++ frontend shell for a cross-platform offline office suite supporting MS Office formats, plugin extensibility, and AI integration in an offline-first design.</description></item><item><title>Inside SearXNG: a modular metasearch engine prioritizing privacy and extensibility</title><link>https://ramdi.fr/github-stars/inside-searxng-a-modular-metasearch-engine-prioritizing-privacy-and-extensibility/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-searxng-a-modular-metasearch-engine-prioritizing-privacy-and-extensibility/</guid><description>SearXNG is a privacy-first metasearch engine aggregating results from 70+ providers using a modular plugin architecture with caching, rate limiting, and deduplication.</description></item><item><title>Inside the 1,000-line operating system: A minimal yet instructive OS kernel in C</title><link>https://ramdi.fr/github-stars/inside-the-1000-line-operating-system-a-minimal-yet-instructive-os-kernel-in-c/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-1000-line-operating-system-a-minimal-yet-instructive-os-kernel-in-c/</guid><description>An educational OS implemented in exactly 1,000 lines of C code, revealing essential kernel design and tradeoffs. A hands-on learning tool for OS fundamentals.</description></item><item><title>Inside X's recommendation engine: multi-stage candidate sourcing and neural ranking</title><link>https://ramdi.fr/github-stars/inside-x-s-recommendation-engine-multi-stage-candidate-sourcing-and-neural-ranking/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-x-s-recommendation-engine-multi-stage-candidate-sourcing-and-neural-ranking/</guid><description>Explore the architecture behind X&amp;rsquo;s For You Timeline recommendation system, built on Scala, Rust, and advanced ML models. Understand candidate sourcing, neural ranking, and filtering pipelines.</description></item><item><title>Inside YaCy: a decentralized, peer-to-peer search engine built in Java</title><link>https://ramdi.fr/github-stars/inside-yacy-a-decentralized-peer-to-peer-search-engine-built-in-java/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-yacy-a-decentralized-peer-to-peer-search-engine-built-in-java/</guid><description>YaCy is a Java-based distributed P2P search engine that lets you build a decentralized search cluster without central servers. It supports private local search and shared indexes across peers.</description></item><item><title>kftray: managing Kubernetes port-forwarding with reverse tunneling and cluster proxy relay</title><link>https://ramdi.fr/github-stars/kftray-managing-kubernetes-port-forwarding-with-reverse-tunneling-and-cluster-proxy-relay/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/kftray-managing-kubernetes-port-forwarding-with-reverse-tunneling-and-cluster-proxy-relay/</guid><description>kftray improves Kubernetes port-forwarding with automatic reconnection, multi-forward management, UDP support, and an ngrok-like reverse tunneling feature leveraging in-cluster relay pods.</description></item><item><title>llm-wiki: orchestrating multi-agent LLM research into persistent knowledge bases</title><link>https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-wiki-orchestrating-multi-agent-llm-research-into-persistent-knowledge-bases/</guid><description>llm-wiki is a shell-based orchestration layer that turns LLM agents into a persistent, multi-agent research wiki. Supports up to 10 agents, deep investigations, and durable provenance tracking.</description></item><item><title>Log Bull: a zero-config self-hosted log aggregation system for small teams</title><link>https://ramdi.fr/github-stars/log-bull-a-zero-config-self-hosted-log-aggregation-system-for-small-teams/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/log-bull-a-zero-config-self-hosted-log-aggregation-system-for-small-teams/</guid><description>Log Bull offers a lightweight, self-hosted log aggregation system in a single Docker container, with multi-project isolation and audit logging. Ideal for small teams needing zero-config observability.</description></item><item><title>Machine-Learning-Interviews: a structured guide for FAANG ML interview prep with agentic AI focus</title><link>https://ramdi.fr/github-stars/machine-learning-interviews-a-structured-guide-for-faang-ml-interview-prep-with-agentic-ai-focus/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/machine-learning-interviews-a-structured-guide-for-faang-ml-interview-prep-with-agentic-ai-focus/</guid><description>A curated Jupyter notebook guide for machine learning interview prep at FAANG companies, covering coding, system design, and agentic AI systems added in 2025.</description></item><item><title>MapLibre React Native: a community-driven fork for vector tile maps in React Native</title><link>https://ramdi.fr/github-stars/maplibre-react-native-a-community-driven-fork-for-vector-tile-maps-in-react-native/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/maplibre-react-native-a-community-driven-fork-for-vector-tile-maps-in-react-native/</guid><description>MapLibre React Native wraps native MapLibre SDKs for interactive vector tile maps in React Native and Expo. It emerged from a fork due to Mapbox SDK divergence.</description></item><item><title>Mapping the generative AI landscape with the ai-collection curated directory</title><link>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</guid><description>Explore ai-collection, a comprehensive curated directory mapping 30+ categories of generative AI tools. Understand its structure, strengths, and how it helps navigate a fragmented AI market.</description></item><item><title>Mapping the OpenClaw AI agent ecosystem: a curated catalog of skills, dashboards, and integrations</title><link>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</guid><description>OpenClaw offers a comprehensive AI agent platform with a rich ecosystem of skills, dashboards, memory plugins, and multi-channel integrations. This curated catalog maps 80+ projects for developers exploring agent frameworks.</description></item><item><title>Medical-SAM3: adapting foundation models for prompt-driven medical image segmentation</title><link>https://ramdi.fr/github-stars/medical-sam3-adapting-foundation-models-for-prompt-driven-medical-image-segmentation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/medical-sam3-adapting-foundation-models-for-prompt-driven-medical-image-segmentation/</guid><description>Medical-SAM3 adapts the SAM3 foundation model for universal prompt-driven medical image segmentation, offering pretrained weights and evaluation tools on diverse medical datasets.</description></item><item><title>Midday: a TypeScript monorepo powering a multi-platform business management app</title><link>https://ramdi.fr/github-stars/midday-a-typescript-monorepo-powering-a-multi-platform-business-management-app/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/midday-a-typescript-monorepo-powering-a-multi-platform-business-management-app/</guid><description>Midday is an open-source TypeScript monorepo combining Next.js web, Tauri desktop, and Expo mobile with Supabase backend for freelancers&amp;rsquo; business management.</description></item><item><title>ModernWMS: A straightforward open-source warehouse management system for SMEs</title><link>https://ramdi.fr/github-stars/modernwms-a-straightforward-open-source-warehouse-management-system-for-smes/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/modernwms-a-straightforward-open-source-warehouse-management-system-for-smes/</guid><description>ModernWMS is a lightweight, open-source warehouse management system using Vue.js frontend and .NET 7 backend with SQLite. It targets SMEs needing simple deployments.</description></item><item><title>Modular AI agent skills for medical research with MedSkillAudit quality control</title><link>https://ramdi.fr/github-stars/modular-ai-agent-skills-for-medical-research-with-medskillaudit-quality-control/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/modular-ai-agent-skills-for-medical-research-with-medskillaudit-quality-control/</guid><description>Explore a modular AI skill library for medical research workflows featuring 500+ skills and a unique MedSkillAudit quality framework ensuring scientific and methodological rigor.</description></item><item><title>Nanobrowser: multi-agent AI browser automation with dynamic self-correcting planning</title><link>https://ramdi.fr/github-stars/nanobrowser-multi-agent-ai-browser-automation-with-dynamic-self-correcting-planning/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/nanobrowser-multi-agent-ai-browser-automation-with-dynamic-self-correcting-planning/</guid><description>Nanobrowser is a TypeScript Chrome extension implementing a multi-agent AI system for browser automation with a unique self-correcting Planner-Navigator architecture, supporting multiple LLMs and local privacy.</description></item><item><title>NetBox: a source of truth for network infrastructure with modular automation architecture</title><link>https://ramdi.fr/github-stars/netbox-a-source-of-truth-for-network-infrastructure-with-modular-automation-architecture/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/netbox-a-source-of-truth-for-network-infrastructure-with-modular-automation-architecture/</guid><description>NetBox is an open-source IPAM/DCIM platform that models network infrastructure as intended state, feeding automation tools via REST APIs for flexible network management.</description></item><item><title>odiff: High-performance single-threaded image diffing with Zig and SIMD</title><link>https://ramdi.fr/github-stars/odiff-high-performance-single-threaded-image-diffing-with-zig-and-simd/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/odiff-high-performance-single-threaded-image-diffing-with-zig-and-simd/</guid><description>odiff is a Zig-based image comparison library using SIMD and perceptual color space to achieve 8x faster visual regression tests. It features Node.js bindings and a persistent server mode.</description></item><item><title>open-researcher: AI-powered web research assistant with integrated scraping and summarization</title><link>https://ramdi.fr/github-stars/open-researcher-ai-powered-web-research-assistant-with-integrated-scraping-and-summarization/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-researcher-ai-powered-web-research-assistant-with-integrated-scraping-and-summarization/</guid><description>open-researcher is a TypeScript app combining AI APIs and web scraping to assist research workflows. It offers an extensible setup and local dev server for experimentation.</description></item><item><title>Organic Maps: A privacy-first offline map and navigation engine in C++ for mobile</title><link>https://ramdi.fr/github-stars/organic-maps-a-privacy-first-offline-map-and-navigation-engine-in-c-for-mobile/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/organic-maps-a-privacy-first-offline-map-and-navigation-engine-in-c-for-mobile/</guid><description>Organic Maps is a C++ cross-platform mobile app delivering offline maps, routing, and turn-by-turn navigation with a privacy-first design. It uses a custom rendering engine and OpenStreetMap data.</description></item><item><title>OVIE: Monocular novel view synthesis without multi-view supervision</title><link>https://ramdi.fr/github-stars/ovie-monocular-novel-view-synthesis-without-multi-view-supervision/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/ovie-monocular-novel-view-synthesis-without-multi-view-supervision/</guid><description>OVIE trains novel view synthesis models using unpaired internet images, avoiding the need for calibrated multi-view datasets. It uses Vision Transformers and foundation models for pose and depth encoding.</description></item><item><title>PokieTicker: layered AI-driven stock market analysis with sentiment and XGBoost</title><link>https://ramdi.fr/github-stars/pokieticker-layered-ai-driven-stock-market-analysis-with-sentiment-and-xgboost/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/pokieticker-layered-ai-driven-stock-market-analysis-with-sentiment-and-xgboost/</guid><description>PokieTicker combines rule-based filtering, LLM sentiment analysis, and XGBoost prediction in a full-stack stock analysis app. Runs locally with no API keys.</description></item><item><title>PostgREST: generating REST APIs directly from PostgreSQL with Haskell</title><link>https://ramdi.fr/github-stars/postgrest-generating-rest-apis-directly-from-postgresql-with-haskell/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/postgrest-generating-rest-apis-directly-from-postgresql-with-haskell/</guid><description>PostgREST is a Haskell server that auto-generates a REST API from a PostgreSQL database by pushing JSON serialization, validation, and authorization into SQL, achieving subsecond responses at 2000 req/sec.</description></item><item><title>Postiz: a Temporal-powered, AI-assisted social media scheduler with agent CLI integration</title><link>https://ramdi.fr/github-stars/postiz-a-temporal-powered-ai-assisted-social-media-scheduler-with-agent-cli-integration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/postiz-a-temporal-powered-ai-assisted-social-media-scheduler-with-agent-cli-integration/</guid><description>Postiz is an open-source, self-hosted social media scheduler built with Temporal workflows, AI content generation, and multi-platform API integrations. It supports an agent CLI and automation platform connectors.</description></item><item><title>QueueDash: A unified tRPC dashboard for Bull, BullMQ, Bee-Queue, and GroupMQ job queues</title><link>https://ramdi.fr/github-stars/queuedash-a-unified-trpc-dashboard-for-bull-bullmq-bee-queue-and-groupmq-job-queues/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/queuedash-a-unified-trpc-dashboard-for-bull-bullmq-bee-queue-and-groupmq-job-queues/</guid><description>QueueDash offers a type-safe, modular dashboard for managing Bull, BullMQ, Bee-Queue, and GroupMQ job queues via a unified tRPC API and React UI. Supports Express, Fastify, Next.js, and Docker deployment.</description></item><item><title>Real-time flight control on ESP32: how drone_meishi runs a 500 Hz IMU fusion and PID loop alongside WebSocket I/O</title><link>https://ramdi.fr/github-stars/real-time-flight-control-on-esp32-how-drone-meishi-runs-a-500-hz-imu-fusion-and-pid-loop-alongside-websocket-i-o/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/real-time-flight-control-on-esp32-how-drone-meishi-runs-a-500-hz-imu-fusion-and-pid-loop-alongside-websocket-i-o/</guid><description>drone_meishi runs a 500 Hz IMU fusion and PID control loop with 20 kHz motor PWM on ESP32, while handling WebSocket joystick input asynchronously. Here&amp;rsquo;s how it balances real-time control and I/O.</description></item><item><title>Rockxy: a native macOS HTTP debugging proxy with AI-assisted observability</title><link>https://ramdi.fr/github-stars/rockxy-a-native-macos-http-debugging-proxy-with-ai-assisted-observability/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/rockxy-a-native-macos-http-debugging-proxy-with-ai-assisted-observability/</guid><description>Rockxy is a macOS-native HTTP debugging proxy written in Swift, featuring MITM TLS interception, sandboxed JavaScriptCore plugins, OSLog correlation, and an MCP server for AI querying live traffic.</description></item><item><title>SignTools: self-hosted iOS sideloading with a split service-builder architecture</title><link>https://ramdi.fr/github-stars/signtools-self-hosted-ios-sideloading-with-a-split-service-builder-architecture/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/signtools-self-hosted-ios-sideloading-with-a-split-service-builder-architecture/</guid><description>SignTools splits iOS sideloading into a Go web service and a macOS signing builder, enabling reliable signing with Apple tools and OTA app distribution from any device.</description></item><item><title>site-md: Next.js middleware serving Markdown to AI agents without content duplication</title><link>https://ramdi.fr/github-stars/site-md-next-js-middleware-serving-markdown-to-ai-agents-without-content-duplication/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/site-md-next-js-middleware-serving-markdown-to-ai-agents-without-content-duplication/</guid><description>site-md uses Next.js middleware to serve clean Markdown to AI agents and HTML to humans, converting HTML on-the-fly without duplicating content. Easy install with minimal setup.</description></item><item><title>SmartScan Android: on-device AI for offline media search and clustering</title><link>https://ramdi.fr/github-stars/smartscan-android-on-device-ai-for-offline-media-search-and-clustering/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/smartscan-android-on-device-ai-for-offline-media-search-and-clustering/</guid><description>SmartScan Android runs vector similarity search and clustering entirely on-device using ONNX Runtime, enabling offline private text and reverse-image search over local media.</description></item><item><title>Social-Media-OSINT: a curated toolkit for social media investigations</title><link>https://ramdi.fr/github-stars/social-media-osint-a-curated-toolkit-for-social-media-investigations/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/social-media-osint-a-curated-toolkit-for-social-media-investigations/</guid><description>Social-Media-OSINT is a curated collection of 200+ tools for social media intelligence gathering, organized by platform and technique. It supports systematic OSINT workflows.</description></item><item><title>StereoWorld: stereo vision-based 3D-consistent video generation from binocular inputs</title><link>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</guid><description>StereoWorld uses binocular stereo vision cues to guide 3D-consistent stereo video generation, offering a biologically inspired approach to scene geometry understanding.</description></item><item><title>Structured prompt engineering with awesome-gpt-image-2: a curated GPT Image 2 prompt library in TypeScript</title><link>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/structured-prompt-engineering-with-awesome-gpt-image-2-a-curated-gpt-image-2-prompt-library-in-typescript/</guid><description>A TypeScript library of 4,000+ curated GPT Image 2 prompts in JSON with dynamic Raycast Snippet arguments, multilingual support, and a companion web gallery for easy browsing.</description></item><item><title>Supermemory: a unified memory and context engine for AI applications</title><link>https://ramdi.fr/github-stars/supermemory-a-unified-memory-and-context-engine-for-ai-applications/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/supermemory-a-unified-memory-and-context-engine-for-ai-applications/</guid><description>Supermemory replaces traditional RAG stacks with a unified AI memory layer, offering fast, hybrid memory retrieval and automatic fact extraction in ~50ms. Here&amp;rsquo;s how it works and how to try it.</description></item><item><title>Sync-in server: a self-hosted TypeScript platform for secure file sync and real-time collaboration</title><link>https://ramdi.fr/github-stars/sync-in-server-a-self-hosted-typescript-platform-for-secure-file-sync-and-real-time-collaboration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/sync-in-server-a-self-hosted-typescript-platform-for-secure-file-sync-and-real-time-collaboration/</guid><description>Sync-in Server is a self-hosted TypeScript platform for file storage, sync, and real-time collaboration with fine-grained RBAC, OIDC/LDAP auth, and integration with Collabora/OnlyOffice.</description></item><item><title>TextBee: repurposing Android phones as programmable SMS gateways via Firebase Cloud Messaging</title><link>https://ramdi.fr/github-stars/textbee-repurposing-android-phones-as-programmable-sms-gateways-via-firebase-cloud-messaging/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/textbee-repurposing-android-phones-as-programmable-sms-gateways-via-firebase-cloud-messaging/</guid><description>TextBee turns Android devices into SMS gateways controlled via a REST API using Firebase Cloud Messaging. It blends Android native SMS with a Next.js dashboard and NestJS backend for flexible SMS sending and receiving.</description></item><item><title>Trail Mate: Offline GPS and Dual LoRa Mesh Firmware for ESP32 Devices</title><link>https://ramdi.fr/github-stars/trail-mate-offline-gps-and-dual-lora-mesh-firmware-for-esp32-devices/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/trail-mate-offline-gps-and-dual-lora-mesh-firmware-for-esp32-devices/</guid><description>Trail Mate is an embedded C firmware for ESP32 devices offering offline GPS navigation and dual LoRa mesh networking. It supports Meshtastic and MeshCore protocols, prioritizing hardware abstraction and deterministic behavior.</description></item><item><title>TurboOCR: a GPU-accelerated OCR server optimized for raw pixel input and high throughput</title><link>https://ramdi.fr/github-stars/turboocr-a-gpu-accelerated-ocr-server-optimized-for-raw-pixel-input-and-high-throughput/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/turboocr-a-gpu-accelerated-ocr-server-optimized-for-raw-pixel-input-and-high-throughput/</guid><description>TurboOCR is a C++/CUDA OCR server leveraging TensorRT FP16 for high throughput and low latency, featuring a zero-decode pixel pipeline and multi-protocol API.</description></item><item><title>Voice-Pro: chaining Whisper, translation, and voice cloning in a portable Gradio app</title><link>https://ramdi.fr/github-stars/voice-pro-chaining-whisper-translation-and-voice-cloning-in-a-portable-gradio-app/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/voice-pro-chaining-whisper-translation-and-voice-cloning-in-a-portable-gradio-app/</guid><description>Voice-Pro bundles Whisper variants, translation, and zero-shot voice cloning into a single Python Gradio app, balancing heavy AI models with a portable Windows-first setup.</description></item><item><title>ZenML: a unified MLOps platform bridging classical ML and AI agent orchestration</title><link>https://ramdi.fr/github-stars/zenml-a-unified-mlops-platform-bridging-classical-ml-and-ai-agent-orchestration/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/zenml-a-unified-mlops-platform-bridging-classical-ml-and-ai-agent-orchestration/</guid><description>ZenML offers an open-source Python SDK to orchestrate full ML and AI agent lifecycles, integrating popular tools and enabling natural-language MLOps interactions via its MCP server.</description></item><item><title>Zeron Chat: A unified AI chat interface with resumable streaming for multi-LLM experimentation</title><link>https://ramdi.fr/github-stars/zeron-chat-a-unified-ai-chat-interface-with-resumable-streaming-for-multi-llm-experimentation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/zeron-chat-a-unified-ai-chat-interface-with-resumable-streaming-for-multi-llm-experimentation/</guid><description>Zeron Chat is a TypeScript React app that unifies multiple LLM providers in one interface with resumable streaming that survives page refreshes, built on TanStack Start and Zero state management.</description></item><item><title>Zinc: A Zig-based LLM inference engine optimized for AMD RDNA and Apple Silicon GPUs</title><link>https://ramdi.fr/github-stars/zinc-a-zig-based-llm-inference-engine-optimized-for-amd-rdna-and-apple-silicon-gpus/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/zinc-a-zig-based-llm-inference-engine-optimized-for-amd-rdna-and-apple-silicon-gpus/</guid><description>Zinc is a Zig-written LLM inference engine using Vulkan and Metal for AMD RDNA and Apple Silicon GPUs. It supports GGUF quantized models and exposes an OpenAI-compatible API with streaming.</description></item><item><title>ZSWatch: open-source smartwatch firmware and hardware built on Zephyr RTOS</title><link>https://ramdi.fr/github-stars/zswatch-open-source-smartwatch-firmware-and-hardware-built-on-zephyr-rtos/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/zswatch-open-source-smartwatch-firmware-and-hardware-built-on-zephyr-rtos/</guid><description>ZSWatch is a fully open-source smartwatch project with hardware designs and Zephyr RTOS firmware running on Nordic nRF5340. It balances embedded constraints with rich sensors and BLE connectivity.</description></item><item><title>A curated 100-day machine learning journey with code and resources</title><link>https://ramdi.fr/github-stars/a-curated-100-day-machine-learning-journey-with-code-and-resources/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-100-day-machine-learning-journey-with-code-and-resources/</guid><description>Explore a 100-day machine learning coding challenge combining classical algorithms, deep learning, and curated resources. A practical, day-by-day learning path for self-directed devs.</description></item><item><title>abtop: process-based monitoring of AI coding agents in Rust with tmux integration</title><link>https://ramdi.fr/github-stars/abtop-process-based-monitoring-of-ai-coding-agents-in-rust-with-tmux-integration/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/abtop-process-based-monitoring-of-ai-coding-agents-in-rust-with-tmux-integration/</guid><description>abtop is a Rust TUI that monitors local AI coding agents by scanning processes and files without API keys. Supports macOS, Linux, Windows with tmux pane jumping and colorblind themes.</description></item><item><title>awesome-sandbox: comparing modern sandboxing tech for AI agent execution</title><link>https://ramdi.fr/github-stars/awesome-sandbox-comparing-modern-sandboxing-tech-for-ai-agent-execution/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-sandbox-comparing-modern-sandboxing-tech-for-ai-agent-execution/</guid><description>A curated repo comparing sandboxing technologies for secure, fast AI agent execution. Covers microVMs, containers, WebAssembly, and more with tradeoffs on security vs speed.</description></item><item><title>EvoClaw: Structured memory and identity evolution framework for OpenClaw AI agents</title><link>https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/</guid><description>EvoClaw enforces AI agent memory and identity evolution with an 8-validator pipeline ensuring integrity and governance, featuring a tiered memory system and radial mindmap UI.</description></item><item><title>GhostVM: macOS virtual machines on Apple Silicon with native integration and CLI automation</title><link>https://ramdi.fr/github-stars/ghostvm-macos-virtual-machines-on-apple-silicon-with-native-integration-and-cli-automation/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/ghostvm-macos-virtual-machines-on-apple-silicon-with-native-integration-and-cli-automation/</guid><description>GhostVM offers macOS virtual machines on Apple Silicon with near-native performance, APFS snapshots, deep host-guest integration, and full CLI automation. Ideal for macOS VM sandboxing.</description></item><item><title>Hermes Mod: visual skin editor with ASCII art hero images for the Hermes CLI</title><link>https://ramdi.fr/github-stars/hermes-mod-visual-skin-editor-with-ascii-art-hero-images-for-the-hermes-cli/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/hermes-mod-visual-skin-editor-with-ascii-art-hero-images-for-the-hermes-cli/</guid><description>Hermes Mod offers a web UI to customize Hermes CLI skins, converting images to terminal-compatible ASCII art hero banners with multiple styles. It manages YAML configs visually.</description></item><item><title>Inside open-docs: reverse-engineering the internals of AI CLI coding agents</title><link>https://ramdi.fr/github-stars/inside-open-docs-reverse-engineering-the-internals-of-ai-cli-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-open-docs-reverse-engineering-the-internals-of-ai-cli-coding-agents/</guid><description>Open-docs reverse-engineers major AI CLI coding agents to reveal undocumented internals, security models, and integration patterns. A deep dive for developers building on these agents.</description></item><item><title>InstantDB Instant: client-side triple-store realtime backend with WAL sync and InstaQL</title><link>https://ramdi.fr/github-stars/instantdb-instant-client-side-triple-store-realtime-backend-with-wal-sync-and-instaql/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/instantdb-instant-client-side-triple-store-realtime-backend-with-wal-sync-and-instaql/</guid><description>InstantDB Instant offers a real-time backend-as-a-service with client-side triple-store, WAL-based sync, InstaQL queries, optimistic updates, and offline support. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>Intercept and replace WebRTC streams with pion/handoff: a hands-on look</title><link>https://ramdi.fr/github-stars/intercept-and-replace-webrtc-streams-with-pion-handoff-a-hands-on-look/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/intercept-and-replace-webrtc-streams-with-pion-handoff-a-hands-on-look/</guid><description>pion/handoff intercepts browser WebRTC sessions by mocking RTCPeerConnection, enabling server-side media stream replacement or recording without detection. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>mitmproxy2swagger: automating OpenAPI spec generation from network captures with a human-in-the-loop workflow</title><link>https://ramdi.fr/github-stars/mitmproxy2swagger-automating-openapi-spec-generation-from-network-captures-with-a-human-in-the-loop-workflow/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/mitmproxy2swagger-automating-openapi-spec-generation-from-network-captures-with-a-human-in-the-loop-workflow/</guid><description>mitmproxy2swagger automates REST API reverse-engineering by converting mitmproxy flows or HAR files into OpenAPI 3.0 specs using a two-pass workflow that balances automation and manual curation.</description></item><item><title>NVIDIA Warp: JIT-compiling Python for CUDA-powered differentiable physics</title><link>https://ramdi.fr/github-stars/nvidia-warp-jit-compiling-python-for-cuda-powered-differentiable-physics/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/nvidia-warp-jit-compiling-python-for-cuda-powered-differentiable-physics/</guid><description>NVIDIA Warp lets you write Python functions JIT-compiled into CUDA kernels for GPU-accelerated differentiable physics and ML integration, simplifying GPU programming in Python.</description></item><item><title>Portracker: A lightweight self-hosted port monitoring tool with secure Docker proxy integration</title><link>https://ramdi.fr/github-stars/portracker-a-lightweight-self-hosted-port-monitoring-tool-with-secure-docker-proxy-integration/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/portracker-a-lightweight-self-hosted-port-monitoring-tool-with-secure-docker-proxy-integration/</guid><description>Portracker is a self-hosted port monitoring tool with embedded SQLite and Docker socket proxy for secure, read-only Docker API access. It supports multi-server federation and TrueNAS integration.</description></item><item><title>SkillHub Desktop: Unifying AI coding assistant skills with a Rust + React Tauri app</title><link>https://ramdi.fr/github-stars/skillhub-desktop-unifying-ai-coding-assistant-skills-with-a-rust-react-tauri-app/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillhub-desktop-unifying-ai-coding-assistant-skills-with-a-rust-react-tauri-app/</guid><description>SkillHub Desktop tackles fragmentation in AI coding assistants by unifying skill management across tools using a Rust backend and React frontend via Tauri. One-click multi-tool skill installs.</description></item><item><title>Skip: building native iOS and Android apps from a single SwiftUI codebase</title><link>https://ramdi.fr/github-stars/skip-building-native-ios-and-android-apps-from-a-single-swiftui-codebase/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/skip-building-native-ios-and-android-apps-from-a-single-swiftui-codebase/</guid><description>Skip enables single-codebase SwiftUI development for iOS and Android with native UI via Swift compilation or Swift-to-Kotlin transpilation. Over 2,200 Swift packages supported.</description></item><item><title>UI-Voyager: Self-evolving AI agent for Android GUI automation with SSIM-based trajectory correction</title><link>https://ramdi.fr/github-stars/ui-voyager-self-evolving-ai-agent-for-android-gui-automation-with-ssim-based-trajectory-correction/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/ui-voyager-self-evolving-ai-agent-for-android-gui-automation-with-ssim-based-trajectory-correction/</guid><description>UI-Voyager is a 4B parameter AI agent achieving 81% success on AndroidWorld by self-evolving with SSIM-based trajectory correction, no human labels needed.</description></item><item><title>XCDocs: Local Apple Developer Documentation Search via Xcode's Vector Database</title><link>https://ramdi.fr/github-stars/xcdocs-local-apple-developer-documentation-search-via-xcode-s-vector-database/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/xcdocs-local-apple-developer-documentation-search-via-xcode-s-vector-database/</guid><description>XCDocs exposes Apple&amp;rsquo;s developer docs as a local searchable resource using Xcode&amp;rsquo;s vector database, enabling zero-maintenance, high-quality search for Swift devs and AI agents on macOS.</description></item><item><title>3d-periodic-table: a data-driven 3D periodic table visualization in TypeScript</title><link>https://ramdi.fr/github-stars/3d-periodic-table-a-data-driven-3d-periodic-table-visualization-in-typescript/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/3d-periodic-table-a-data-driven-3d-periodic-table-visualization-in-typescript/</guid><description>Explore the 3d-periodic-table repo, a TypeScript project rendering an interactive 3D periodic table in the browser using data-driven architecture and WebGL.</description></item><item><title>3dsvg: client-side SVG extrusion to interactive 3D scenes with React Three Fiber</title><link>https://ramdi.fr/github-stars/3dsvg-client-side-svg-extrusion-to-interactive-3d-scenes-with-react-three-fiber/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/3dsvg-client-side-svg-extrusion-to-interactive-3d-scenes-with-react-three-fiber/</guid><description>3dsvg extrudes SVG paths into 3D scenes using React Three Fiber, with a Next.js editor rendering the same components for WYSIWYG parity and client-side export to PNG, video, and 3D models.</description></item><item><title>A curated gateway to machine learning resources for quantitative trading</title><link>https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/</guid><description>A curated GitHub repo consolidates 200+ quality resources for quantitative and ML-driven algorithmic trading, bridging academic research and practical strategies.</description></item><item><title>A curated gateway to technical writing resources and docs-as-code tooling</title><link>https://ramdi.fr/github-stars/a-curated-gateway-to-technical-writing-resources-and-docs-as-code-tooling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-gateway-to-technical-writing-resources-and-docs-as-code-tooling/</guid><description>Awesome-technical-writing aggregates 200+ resources covering technical writing fundamentals, style guides, and docs-as-code tooling, bridging traditional and modern documentation practices.</description></item><item><title>A deep dive into JavaScript with "You Don't Know JS Yet": mastering language internals</title><link>https://ramdi.fr/github-stars/a-deep-dive-into-javascript-with-you-don-t-know-js-yet-mastering-language-internals/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-deep-dive-into-javascript-with-you-don-t-know-js-yet-mastering-language-internals/</guid><description>&amp;ldquo;You Don&amp;rsquo;t Know JS Yet&amp;rdquo; is a comprehensive, free online book series that explores JavaScript&amp;rsquo;s core mechanics like scope, closures, and type coercion with rare depth and clarity.</description></item><item><title>A practical Go and Next.js SaaS starter kit with modern dev workflows</title><link>https://ramdi.fr/github-stars/a-practical-go-and-next-js-saas-starter-kit-with-modern-dev-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-practical-go-and-next-js-saas-starter-kit-with-modern-dev-workflows/</guid><description>Explore a Go-based production SaaS starter with Next.js frontend, Docker Compose setup, and developer-friendly tooling. Practical architecture and clear quickstart.</description></item><item><title>AeroSpace: a Swift-based tiling window manager for macOS with a functional data structure core</title><link>https://ramdi.fr/github-stars/aerospace-a-swift-based-tiling-window-manager-for-macos-with-a-functional-data-structure-core/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/aerospace-a-swift-based-tiling-window-manager-for-macos-with-a-functional-data-structure-core/</guid><description>AeroSpace is a Swift i3-inspired tiling window manager for macOS using an immutable persistent tree data structure for stability and native tab support. CLI-configured, no Apple notarization needed.</description></item><item><title>AFFiNE: a Rust-powered local-first collaborative knowledge base with CRDT sync</title><link>https://ramdi.fr/github-stars/affine-a-rust-powered-local-first-collaborative-knowledge-base-with-crdt-sync/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/affine-a-rust-powered-local-first-collaborative-knowledge-base-with-crdt-sync/</guid><description>AFFiNE is an open-source local-first knowledge base using Rust-native CRDTs and a collaborative editor for real-time sync, offering a self-hosted Notion alternative.</description></item><item><title>Agent Kanban: orchestrating AI coding agents with cryptographic identities</title><link>https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/</guid><description>Agent Kanban is a TypeScript multi-agent platform that uses Ed25519 cryptographic identities to manage AI coding agents in a leader-worker workflow with atomic task claiming and real-time collaboration.</description></item><item><title>agent-sat: Autonomous AI agent discovering MaxSAT solving techniques through iterative experimentation</title><link>https://ramdi.fr/github-stars/agent-sat-autonomous-ai-agent-discovering-maxsat-solving-techniques-through-iterative-experimentation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agent-sat-autonomous-ai-agent-discovering-maxsat-solving-techniques-through-iterative-experimentation/</guid><description>agent-sat is an autonomous AI agent system where Claude Code learns to solve weighted MaxSAT problems by iterating solver improvements and coordinating via git, solving 220/229 benchmarks.</description></item><item><title>agent-skills by sleekdotdesign: modular AI agent skills for programmatic mobile app design</title><link>https://ramdi.fr/github-stars/agent-skills-by-sleekdotdesign-modular-ai-agent-skills-for-programmatic-mobile-app-design/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agent-skills-by-sleekdotdesign-modular-ai-agent-skills-for-programmatic-mobile-app-design/</guid><description>Explore agent-skills by sleekdotdesign, an AI agent skill enabling programmatic mobile app design with Sleek API. Modular, CLI-driven, niche but practical for AI tooling.</description></item><item><title>agent-startup-kit: reusable AI coding workflows as skill playbooks for SaaS dev</title><link>https://ramdi.fr/github-stars/agent-startup-kit-reusable-ai-coding-workflows-as-skill-playbooks-for-saas-dev/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agent-startup-kit-reusable-ai-coding-workflows-as-skill-playbooks-for-saas-dev/</guid><description>agent-startup-kit offers a modular set of AI-assisted coding workflows for SaaS, packaged as reusable skill playbooks for Claude Code and VS Code.</description></item><item><title>Agenta: a comprehensive LLMOps platform for prompt management and evaluation</title><link>https://ramdi.fr/github-stars/agenta-a-comprehensive-llmops-platform-for-prompt-management-and-evaluation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agenta-a-comprehensive-llmops-platform-for-prompt-management-and-evaluation/</guid><description>Agenta is an open-source TypeScript LLMOps platform offering prompt management, evaluation across 50+ models, and production observability with OpenTelemetry. Self-host via Docker Compose.</description></item><item><title>AgentFlow: orchestrating AI coding agents with graph-based parallelism and remote execution</title><link>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-graph-based-parallelism-and-remote-execution/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentflow-orchestrating-ai-coding-agents-with-graph-based-parallelism-and-remote-execution/</guid><description>AgentFlow is a Python library for orchestrating AI coding agents using dependency graphs, supporting parallel fanout, iterative refinement, and remote execution. It integrates with Codex CLI for natural-language pipeline creation.</description></item><item><title>Agentic Coding Flywheel Setup: Bootstrapping AI-powered coding agents on a VPS</title><link>https://ramdi.fr/github-stars/agentic-coding-flywheel-setup-bootstrapping-ai-powered-coding-agents-on-a-vps/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentic-coding-flywheel-setup-bootstrapping-ai-powered-coding-agents-on-a-vps/</guid><description>Agentic Coding Flywheel Setup automates turning a fresh Ubuntu VPS into an AI-powered coding environment with autonomous agents, simplifying complex setups into a single command.</description></item><item><title>AgentOps: a local operating layer for cross-vendor AI coding agents with multi-agent consensus</title><link>https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentops-a-local-operating-layer-for-cross-vendor-ai-coding-agents-with-multi-agent-consensus/</guid><description>AgentOps provides a Go-based local operating layer for AI coding agents, enabling persistent memory, validation gates, and multi-agent review across vendors with zero cloud dependency.</description></item><item><title>AgentShield: auditing AI agent security configurations with runtime confidence scoring</title><link>https://ramdi.fr/github-stars/agentshield-auditing-ai-agent-security-configurations-with-runtime-confidence-scoring/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentshield-auditing-ai-agent-security-configurations-with-runtime-confidence-scoring/</guid><description>AgentShield is a TypeScript CLI tool that audits Claude Code AI agent configs for secrets, permissions, hooks, and more using a runtime confidence system to reduce false positives.</description></item><item><title>AgentsMesh: a self-hosted AI agent orchestration platform with control plane/data plane separation</title><link>https://ramdi.fr/github-stars/agentsmesh-a-self-hosted-ai-agent-orchestration-platform-with-control-plane-data-plane-separation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentsmesh-a-self-hosted-ai-agent-orchestration-platform-with-control-plane-data-plane-separation/</guid><description>AgentsMesh offers a self-hosted AI agent orchestration platform with a clean control/data plane split using gRPC+mTLS and WebSocket relay for real-time terminal I/O streaming.</description></item><item><title>ai-trader: AI-powered config-driven backtesting with natural language interaction</title><link>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</guid><description>ai-trader adds natural language AI interaction to algorithmic trading backtesting via an MCP server and YAML configs. Supports US/TW stocks, crypto, forex with caching.</description></item><item><title>AI4Animation: A deep learning framework for neural character animation with sparse sensor control</title><link>https://ramdi.fr/github-stars/ai4animation-a-deep-learning-framework-for-neural-character-animation-with-sparse-sensor-control/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai4animation-a-deep-learning-framework-for-neural-character-animation-with-sparse-sensor-control/</guid><description>AI4Animation offers a research-driven deep learning framework for neural character animation, enabling real-time control from sparse sensor inputs using categorical codebook matching and periodic autoencoders.</description></item><item><title>Algorithmic trading with Python: modular quant tools built on pandas</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</guid><description>This repo offers modular Python utilities for quantitative trading research, featuring pure-Pandas indicators and OOP portfolio simulation—usable standalone in quant pipelines.</description></item><item><title>Allium: a behavioral specification framework for intent persistence in AI agent engineering</title><link>https://ramdi.fr/github-stars/allium-a-behavioral-specification-framework-for-intent-persistence-in-ai-agent-engineering/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/allium-a-behavioral-specification-framework-for-intent-persistence-in-ai-agent-engineering/</guid><description>Allium addresses intent drift in AI agent sessions by capturing behaviors as formal specs that persist across interactions, exposing contradictions automatically.</description></item><item><title>Alpaca-py: structured Python SDK for Alpaca trading and market data APIs with runtime validation</title><link>https://ramdi.fr/github-stars/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/</guid><description>Alpaca-py is Alpaca&amp;rsquo;s official Python SDK for trading, market data, and broker APIs. It uses pydantic models and OOP clients to catch errors early and improve DX.</description></item><item><title>AniGen: GPU-accelerated 3D animation generation with Python and CUDA</title><link>https://ramdi.fr/github-stars/anigen-gpu-accelerated-3d-animation-generation-with-python-and-cuda/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/anigen-gpu-accelerated-3d-animation-generation-with-python-and-cuda/</guid><description>AniGen is a Linux-only Python project for 3D animation generation using NVIDIA GPUs and CUDA. It integrates PyTorch, spconv, and pytorch3d with a smooth setup script for complex dependencies.</description></item><item><title>Apple Silicon Guide: A comprehensive developer reference for Apple's ARM ecosystem</title><link>https://ramdi.fr/github-stars/apple-silicon-guide-a-comprehensive-developer-reference-for-apple-s-arm-ecosystem/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/apple-silicon-guide-a-comprehensive-developer-reference-for-apple-s-arm-ecosystem/</guid><description>A curated documentation repo for Apple Silicon developers covering chip architectures, dev tools, ML, virtualization, and performance monitoring.</description></item><item><title>Appteka Android: framework-agnostic MVP meets clean architecture in an open-source Android app store</title><link>https://ramdi.fr/github-stars/appteka-android-framework-agnostic-mvp-meets-clean-architecture-in-an-open-source-android-app-store/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/appteka-android-framework-agnostic-mvp-meets-clean-architecture-in-an-open-source-android-app-store/</guid><description>Appteka is an open-source Android app store alternative built with Kotlin using MVP layered over Clean Architecture, emphasizing framework-agnostic presenters and multi-engine antivirus scanning.</description></item><item><title>ArkhamMirror: A modular, local-first investigative journalism platform with event-driven shards</title><link>https://ramdi.fr/github-stars/arkhammirror-a-modular-local-first-investigative-journalism-platform-with-event-driven-shards/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/arkhammirror-a-modular-local-first-investigative-journalism-platform-with-event-driven-shards/</guid><description>ArkhamMirror is a local-first, modular document intelligence platform for investigative journalism using event-driven shards, structured analytic techniques, and hybrid semantic search.</description></item><item><title>atopile: Declarative hardware design with constraint-solving for PCB automation</title><link>https://ramdi.fr/github-stars/atopile-declarative-hardware-design-with-constraint-solving-for-pcb-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/atopile-declarative-hardware-design-with-constraint-solving-for-pcb-automation/</guid><description>atopile offers a declarative hardware description language and compiler that solves component constraints and generates KiCad PCB layouts automatically.</description></item><item><title>Atuin Desktop: executable runbooks with local-first CRDT sync and shell integration</title><link>https://ramdi.fr/github-stars/atuin-desktop-executable-runbooks-with-local-first-crdt-sync-and-shell-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/atuin-desktop-executable-runbooks-with-local-first-crdt-sync-and-shell-integration/</guid><description>Atuin Desktop offers a local-first, CRDT-powered runbook editor that executes shell commands, DB queries, and HTTP requests with Jinja templating. It syncs via Atuin Hub and supports offline workflows.</description></item><item><title>AutoHedge: A multi-agent autonomous hedge fund framework for Solana trading</title><link>https://ramdi.fr/github-stars/autohedge-a-multi-agent-autonomous-hedge-fund-framework-for-solana-trading/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/autohedge-a-multi-agent-autonomous-hedge-fund-framework-for-solana-trading/</guid><description>AutoHedge implements a four-agent sequential pipeline for autonomous trading on Solana, using a risk-first design and structured JSON outputs for reliable multi-agent coordination.</description></item><item><title>Automaton: A TypeScript AI Agent Framework with Economic Survival Tiers and On-Chain Identity</title><link>https://ramdi.fr/github-stars/automaton-a-typescript-ai-agent-framework-with-economic-survival-tiers-and-on-chain-identity/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/automaton-a-typescript-ai-agent-framework-with-economic-survival-tiers-and-on-chain-identity/</guid><description>Automaton implements autonomous AI agents with economic survival tiers tied to on-chain identity and continuous Think→Act→Observe loops, featuring self-modification and replication.</description></item><item><title>AutoProber: AI-driven hardware automation with oscilloscope-monitored safety for PCB analysis</title><link>https://ramdi.fr/github-stars/autoprober-ai-driven-hardware-automation-with-oscilloscope-monitored-safety-for-pcb-analysis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoprober-ai-driven-hardware-automation-with-oscilloscope-monitored-safety-for-pcb-analysis/</guid><description>AutoProber is a Python automation stack that controls a flying probe system for PCB analysis, featuring oscilloscope-based safety monitoring and a Flask dashboard.</description></item><item><title>AutoSubs: cross-platform automated subtitle generation with DaVinci Resolve integration</title><link>https://ramdi.fr/github-stars/autosubs-cross-platform-automated-subtitle-generation-with-davinci-resolve-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/autosubs-cross-platform-automated-subtitle-generation-with-davinci-resolve-integration/</guid><description>AutoSubs is a TypeScript-based cross-platform app that automates subtitle creation from audio/video files, with standalone and DaVinci Resolve modes. Easy install and practical editing.</description></item><item><title>Awesome-Deblurring: A comprehensive academic resource on image and video deblurring techniques</title><link>https://ramdi.fr/github-stars/awesome-deblurring-a-comprehensive-academic-resource-on-image-and-video-deblurring-techniques/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-deblurring-a-comprehensive-academic-resource-on-image-and-video-deblurring-techniques/</guid><description>Awesome-Deblurring compiles 100+ key papers tracing image and video deblurring from classical optimization to modern deep learning, serving as a go-to bibliography for researchers and developers.</description></item><item><title>awesome-marketing: a curated directory of marketing tools for strategic discovery</title><link>https://ramdi.fr/github-stars/awesome-marketing-a-curated-directory-of-marketing-tools-for-strategic-discovery/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-marketing-a-curated-directory-of-marketing-tools-for-strategic-discovery/</guid><description>awesome-marketing is a community-curated markdown directory of marketing tools covering SEO, social media, and strategy. It serves as a practical reference for marketers seeking vetted SaaS solutions.</description></item><item><title>Bluehood: passive Bluetooth scanning and presence pattern analysis on Linux</title><link>https://ramdi.fr/github-stars/bluehood-passive-bluetooth-scanning-and-presence-pattern-analysis-on-linux/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/bluehood-passive-bluetooth-scanning-and-presence-pattern-analysis-on-linux/</guid><description>Bluehood passively scans BLE and Classic Bluetooth devices, tracks presence patterns, and reveals limits of MAC randomization using BLE UUIDs and signal strength. Linux-only, Docker-ready.</description></item><item><title>BookLogr: a self-hosted JavaScript app bridging OpenLibrary API with local persistence</title><link>https://ramdi.fr/github-stars/booklogr-a-self-hosted-javascript-app-bridging-openlibrary-api-with-local-persistence/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/booklogr-a-self-hosted-javascript-app-bridging-openlibrary-api-with-local-persistence/</guid><description>BookLogr is a self-hosted book tracking app integrating OpenLibrary API with SQLite/PostgreSQL, featuring public sharing and Mastodon integration for reading progress.</description></item><item><title>BrightBean Studio: a self-hosted social media management platform with direct API integrations and multi-tenant Django architecture</title><link>https://ramdi.fr/github-stars/brightbean-studio-a-self-hosted-social-media-management-platform-with-direct-api-integrations-and-multi-tenant-django-architecture/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/brightbean-studio-a-self-hosted-social-media-management-platform-with-direct-api-integrations-and-multi-tenant-django-architecture/</guid><description>BrightBean Studio is a Django-based, self-hosted social media management platform supporting 10+ platforms with direct API integrations and multi-tenant RBAC. Explore its architecture and deployment paths.</description></item><item><title>Browser-based hand gesture controls for web maps using MediaPipe and TypeScript</title><link>https://ramdi.fr/github-stars/browser-based-hand-gesture-controls-for-web-maps-using-mediapipe-and-typescript/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/browser-based-hand-gesture-controls-for-web-maps-using-mediapipe-and-typescript/</guid><description>A TypeScript monorepo enabling hand gesture controls for OpenLayers, Google Maps, and Leaflet using MediaPipe Hand Landmarker WASM, with gesture state machine and smoothing filters for stable pan/zoom/rotate.</description></item><item><title>Building a production-ready AI agent system in 18 steps with build-your-own-openclaw</title><link>https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/</guid><description>A practical 18-step tutorial progressively builds a minimal AI agent into a production-ready multi-agent system with event-driven architecture and concurrency control.</description></item><item><title>Building a resilient real-time option chain analyzer with Python tkinter</title><link>https://ramdi.fr/github-stars/building-a-resilient-real-time-option-chain-analyzer-with-python-tkinter/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-resilient-real-time-option-chain-analyzer-with-python-tkinter/</guid><description>Explore Python-NSE-Option-Chain-Analyzer, a Python tkinter desktop app that fetches and analyzes real-time NSE option chain data with robust polling, deduplication, and error handling.</description></item><item><title>Building a serverless email inbox with Cloudflare Agentic Inbox</title><link>https://ramdi.fr/github-stars/building-a-serverless-email-inbox-with-cloudflare-agentic-inbox/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-serverless-email-inbox-with-cloudflare-agentic-inbox/</guid><description>Cloudflare Agentic Inbox uses Durable Objects and Cloudflare Workers to create a serverless, stateful email inbox at the edge. It integrates email routing, access control, and AI features on Cloudflare&amp;rsquo;s platform.</description></item><item><title>Building a visual CSS variable editor for shadcn/ui theme customization</title><link>https://ramdi.fr/github-stars/building-a-visual-css-variable-editor-for-shadcn-ui-theme-customization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-visual-css-variable-editor-for-shadcn-ui-theme-customization/</guid><description>Explore how shadcn-ui-customizer extends shadcn/ui with a visual color picker for CSS custom properties, covering design tokens for seamless theme generation.</description></item><item><title>Building modern marketing emails with the email-campaigns-claude Claude Code skill</title><link>https://ramdi.fr/github-stars/building-modern-marketing-emails-with-the-email-campaigns-claude-claude-code-skill/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-modern-marketing-emails-with-the-email-campaigns-claude-claude-code-skill/</guid><description>Explore the email-campaigns-claude Claude Code skill for reusable email HTML blocks, free static CDN asset hosting, GIF optimization, and Resend integration for marketing campaigns.</description></item><item><title>Building private AI workflows with the n8n self-hosted AI starter kit</title><link>https://ramdi.fr/github-stars/building-private-ai-workflows-with-the-n8n-self-hosted-ai-starter-kit/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-private-ai-workflows-with-the-n8n-self-hosted-ai-starter-kit/</guid><description>Spin up a private AI agent stack in under 5 minutes with n8n&amp;rsquo;s self-hosted AI starter kit. Combines local LLMs, automation, and vector search for secure AI workflows.</description></item><item><title>Building resilient real-time BTC price feeds for 15-minute binary options trading</title><link>https://ramdi.fr/github-stars/building-resilient-real-time-btc-price-feeds-for-15-minute-binary-options-trading/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-resilient-real-time-btc-price-feeds-for-15-minute-binary-options-trading/</guid><description>Explore how this Node.js tool aggregates multiple BTC price sources with fallback chains and technical analysis for 15-minute binary options trading on Polymarket.</description></item><item><title>Building your cybersecurity skills with the Cybersecurity Mastery Roadmap</title><link>https://ramdi.fr/github-stars/building-your-cybersecurity-skills-with-the-cybersecurity-mastery-roadmap/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-your-cybersecurity-skills-with-the-cybersecurity-mastery-roadmap/</guid><description>Explore a structured cybersecurity learning roadmap guiding you from foundational concepts to advanced skills with practical labs and industry certifications.</description></item><item><title>Caligula: A Lightweight Rust TUI for Disk Imaging with Safety and Speed</title><link>https://ramdi.fr/github-stars/caligula-a-lightweight-rust-tui-for-disk-imaging-with-safety-and-speed/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/caligula-a-lightweight-rust-tui-for-disk-imaging-with-safety-and-speed/</guid><description>Caligula is a Rust-based terminal UI for disk imaging that packs multi-format decompression, hash validation, and privilege escalation into a &amp;lt;5MB binary, unlike bulky Electron tools.</description></item><item><title>CasaOS: Bridging Docker Complexity and User-Friendly Personal Cloud Hosting</title><link>https://ramdi.fr/github-stars/casaos-bridging-docker-complexity-and-user-friendly-personal-cloud-hosting/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/casaos-bridging-docker-complexity-and-user-friendly-personal-cloud-hosting/</guid><description>CasaOS is an open-source personal cloud system in Go that wraps Docker management into an easy web UI, enabling self-hosting on diverse hardware with minimal setup.</description></item><item><title>cass-memory: a TypeScript cognitive memory system with confidence decay for AI coding agents</title><link>https://ramdi.fr/github-stars/cass-memory-a-typescript-cognitive-memory-system-with-confidence-decay-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cass-memory-a-typescript-cognitive-memory-system-with-confidence-decay-for-ai-coding-agents/</guid><description>cass-memory is a TypeScript CLI implementing a three-layer cognitive architecture for AI coding agents, featuring a novel confidence decay system to maintain a reliable, evolving knowledge base.</description></item><item><title>CC GUI: embedding AI coding assistants directly into JetBrains IDEs</title><link>https://ramdi.fr/github-stars/cc-gui-embedding-ai-coding-assistants-directly-into-jetbrains-ides/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cc-gui-embedding-ai-coding-assistants-directly-into-jetbrains-ides/</guid><description>CC GUI integrates Claude Code and OpenAI Codex into JetBrains IDEs, eliminating CLI friction with native AI workflows, session management, and permission controls.</description></item><item><title>cc-gateway: optimizing Claude Code API usage with a reverse proxy for telemetry normalization and cost savings</title><link>https://ramdi.fr/github-stars/cc-gateway-optimizing-claude-code-api-usage-with-a-reverse-proxy-for-telemetry-normalization-and-cost-savings/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cc-gateway-optimizing-claude-code-api-usage-with-a-reverse-proxy-for-telemetry-normalization-and-cost-savings/</guid><description>CC Gateway is a TypeScript reverse proxy for Claude Code that normalizes telemetry and device identity, strips billing headers to reduce system prompt costs by ~85%, and manages OAuth tokens centrally.</description></item><item><title>Chartbrew: open-source data visualization and dashboard builder with NodeJS backend and Docker deployment</title><link>https://ramdi.fr/github-stars/chartbrew-open-source-data-visualization-and-dashboard-builder-with-nodejs-backend-and-docker-deployment/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/chartbrew-open-source-data-visualization-and-dashboard-builder-with-nodejs-backend-and-docker-deployment/</guid><description>Chartbrew is an open-source data visualization tool with a NodeJS backend, supporting MySQL/PostgreSQL and Redis, deployable via Docker for easy setup and use.</description></item><item><title>Cheapino: a split 36-key keyboard using a Japanese duplex matrix for single-MCU control</title><link>https://ramdi.fr/github-stars/cheapino-a-split-36-key-keyboard-using-a-japanese-duplex-matrix-for-single-mcu-control/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cheapino-a-split-36-key-keyboard-using-a-japanese-duplex-matrix-for-single-mcu-control/</guid><description>Cheapino uses a Japanese duplex matrix to run a split 36-key keyboard on a single RP2040 MCU, cutting wiring complexity and cost. Open-source design with QMK/Vial firmware.</description></item><item><title>Cinephage: consolidating self-hosted media management into one TypeScript app</title><link>https://ramdi.fr/github-stars/cinephage-consolidating-self-hosted-media-management-into-one-typescript-app/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cinephage-consolidating-self-hosted-media-management-into-one-typescript-app/</guid><description>Cinephage replaces 6+ media services with a single Node.js and Svelte app, offering unified management, Cloudflare bypass, and direct Usenet streaming for self-hosters.</description></item><item><title>claude code viewer: a pragmatic web UI for managing Claude Code agent sessions</title><link>https://ramdi.fr/github-stars/claude-code-viewer-a-pragmatic-web-ui-for-managing-claude-code-agent-sessions/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-viewer-a-pragmatic-web-ui-for-managing-claude-code-agent-sessions/</guid><description>Claude Code Viewer provides a web UI for real-time monitoring and managing Claude Code sessions with dual authentication modes and PWA mobile support. It handles Anthropic&amp;rsquo;s SDK restrictions gracefully.</description></item><item><title>Claude Cowork guide: practical AI workflows and plugin docs for business users</title><link>https://ramdi.fr/github-stars/claude-cowork-guide-practical-ai-workflows-and-plugin-docs-for-business-users/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-cowork-guide-practical-ai-workflows-and-plugin-docs-for-business-users/</guid><description>A detailed guide to Claude Cowork, Anthropic&amp;rsquo;s desktop AI assistant, offering 28 business workflows, 70 prompts, and plugin docs for knowledge workers and small businesses.</description></item><item><title>claude os: speeding up persistent ai memory for code with hybrid tree-sitter indexing</title><link>https://ramdi.fr/github-stars/claude-os-speeding-up-persistent-ai-memory-for-code-with-hybrid-tree-sitter-indexing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-os-speeding-up-persistent-ai-memory-for-code-with-hybrid-tree-sitter-indexing/</guid><description>Claude OS cuts codebase indexing from hours to seconds using hybrid tree-sitter parsing, enabling fast persistent AI memory for Claude Code projects with local-first data storage.</description></item><item><title>claude-blog: a modular Claude Code plugin for automated, SEO-optimized blog content workflows</title><link>https://ramdi.fr/github-stars/claude-blog-a-modular-claude-code-plugin-for-automated-seo-optimized-blog-content-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-blog-a-modular-claude-code-plugin-for-automated-seo-optimized-blog-content-workflows/</guid><description>claude-blog offers 28 modular sub-skills automating blog content creation with dual SEO and AI citation optimization, integrating Google APIs and supporting multiple CMS platforms.</description></item><item><title>claude-code-harness: a Shell-based plugin harness for Claude Code AI agents</title><link>https://ramdi.fr/github-stars/claude-code-harness-a-shell-based-plugin-harness-for-claude-code-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-harness-a-shell-based-plugin-harness-for-claude-code-ai-agents/</guid><description>claude-code-harness is a Shell plugin harness for Claude Code that integrates AI agent features without Node.js, relying on specific Claude Code and Opus versions for full capability.</description></item><item><title>claude-code-lsp-enforcement-kit enforces LSP-first code navigation to save tokens</title><link>https://ramdi.fr/github-stars/claude-code-lsp-enforcement-kit-enforces-lsp-first-code-navigation-to-save-tokens/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-lsp-enforcement-kit-enforces-lsp-first-code-navigation-to-save-tokens/</guid><description>claude-code-lsp-enforcement-kit intercepts Grep/Read calls in Claude Code to enforce LSP-first navigation, saving ~73% tokens by redirecting to precise LSP MCP server calls with progressive read gating.</description></item><item><title>claudemap: visual interactive map for Claude AI agents with Codex support</title><link>https://ramdi.fr/github-stars/claudemap-visual-interactive-map-for-claude-ai-agents-with-codex-support/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claudemap-visual-interactive-map-for-claude-ai-agents-with-codex-support/</guid><description>claudemap offers a JavaScript runtime to create and run visual interactive maps for Claude AI agents, with optional Codex assistant integration for enhanced natural language control.</description></item><item><title>claudeusagebar: a minimal macOS menu bar app to track Claude.ai usage limits</title><link>https://ramdi.fr/github-stars/claudeusagebar-a-minimal-macos-menu-bar-app-to-track-claude-ai-usage-limits/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claudeusagebar-a-minimal-macos-menu-bar-app-to-track-claude-ai-usage-limits/</guid><description>ClaudeUsageBar is a lightweight SwiftUI macOS menu bar app that monitors Claude.ai session and weekly usage with local cookie authentication and permissionless notifications.</description></item><item><title>ClawBridge: real-time AI agent monitoring with automated cost diagnostics</title><link>https://ramdi.fr/github-stars/clawbridge-real-time-ai-agent-monitoring-with-automated-cost-diagnostics/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawbridge-real-time-ai-agent-monitoring-with-automated-cost-diagnostics/</guid><description>ClawBridge offers real-time monitoring for OpenClaw AI agents with a unique Cost Control Center that claims 30-90% API savings. It uses WebSockets, zero-config VPN detection, and a PWA frontend.</description></item><item><title>ClawLess: Running AI agents fully client-side with WebContainers and multi-LLM integration</title><link>https://ramdi.fr/github-stars/clawless-running-ai-agents-fully-client-side-with-webcontainers-and-multi-llm-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawless-running-ai-agents-fully-client-side-with-webcontainers-and-multi-llm-integration/</guid><description>ClawLess runs AI agents entirely in-browser using WebContainers, enabling sandboxed Node.js environments with multi-provider LLM support and GitHub integration—no backend needed.</description></item><item><title>ComfyUI Trellis2: Extending ComfyUI with Dinov3 for 3D-Aware Diffusion Workflows</title><link>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</guid><description>ComfyUI-Trellis2 integrates facebook&amp;rsquo;s Dinov3 model into ComfyUI for advanced 3D-aware diffusion workflows. This article breaks down its architecture, strengths, and installation steps.</description></item><item><title>Compozy: orchestrating AI coding agents with context-aware pipelines in Go</title><link>https://ramdi.fr/github-stars/compozy-orchestrating-ai-coding-agents-with-context-aware-pipelines-in-go/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/compozy-orchestrating-ai-coding-agents-with-context-aware-pipelines-in-go/</guid><description>Compozy is a Go CLI that orchestrates AI coding agents in a structured pipeline, grounding AI tasks in real codebase context with markdown workflows and multi-agent concurrency.</description></item><item><title>Converseen: a cross-platform batch image converter built on ImageMagick</title><link>https://ramdi.fr/github-stars/converseen-a-cross-platform-batch-image-converter-built-on-imagemagick/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/converseen-a-cross-platform-batch-image-converter-built-on-imagemagick/</guid><description>Converseen wraps ImageMagick C++ bindings into a GUI app for batch image conversion and resizing across 100+ formats on Windows, Linux, macOS, and FreeBSD.</description></item><item><title>cord.nvim: hybrid Lua+Rust Discord Rich Presence for Neovim</title><link>https://ramdi.fr/github-stars/cord-nvim-hybrid-lua-rust-discord-rich-presence-for-neovim/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/cord-nvim-hybrid-lua-rust-discord-rich-presence-for-neovim/</guid><description>cord.nvim integrates Discord Rich Presence with Neovim using a hybrid Lua and Rust architecture, shipping precompiled Rust binaries automatically for performance without Rust toolchain requirements.</description></item><item><title>Council of High Intelligence: orchestrating structured multi-agent AI deliberations across multiple LLMs</title><link>https://ramdi.fr/github-stars/council-of-high-intelligence-orchestrating-structured-multi-agent-ai-deliberations-across-multiple-llms/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/council-of-high-intelligence-orchestrating-structured-multi-agent-ai-deliberations-across-multiple-llms/</guid><description>Council of High Intelligence is a Shell tool coordinating 18 AI personas across Claude, OpenAI, Gemini, and Ollama, enforcing true disagreement via structured multi-round deliberations.</description></item><item><title>CrabCamera: a robust cross-platform Rust camera and audio capture plugin for Tauri</title><link>https://ramdi.fr/github-stars/crabcamera-a-robust-cross-platform-rust-camera-and-audio-capture-plugin-for-tauri/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/crabcamera-a-robust-cross-platform-rust-camera-and-audio-capture-plugin-for-tauri/</guid><description>CrabCamera is a Rust plugin for Tauri offering cross-platform camera and audio capture with PTS-based sync, zero unsafe code, and professional hardware controls.</description></item><item><title>ctx: managing AI skills and agents with a context-aware knowledge graph</title><link>https://ramdi.fr/github-stars/ctx-managing-ai-skills-and-agents-with-a-context-aware-knowledge-graph/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ctx-managing-ai-skills-and-agents-with-a-context-aware-knowledge-graph/</guid><description>ctx builds a 104K-node knowledge graph to optimize AI skill and agent selection for Claude Code, solving context window bloat with a graph-based recommender and lifecycle management.</description></item><item><title>Czkawka: a Rust core library powering multi-frontend file cleanup tools</title><link>https://ramdi.fr/github-stars/czkawka-a-rust-core-library-powering-multi-frontend-file-cleanup-tools/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/czkawka-a-rust-core-library-powering-multi-frontend-file-cleanup-tools/</guid><description>Czkawka uses a safe Rust core library to power multiple cross-platform frontends and CLI for file cleanup, with caching, multithreading, and perceptual hashing. A practical study in library-first Rust desktop apps.</description></item><item><title>DAAAM: real-time foundation-model-driven 3D dynamic scene graph construction for robot mapping</title><link>https://ramdi.fr/github-stars/daaam-real-time-foundation-model-driven-3d-dynamic-scene-graph-construction-for-robot-mapping/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/daaam-real-time-foundation-model-driven-3d-dynamic-scene-graph-construction-for-robot-mapping/</guid><description>DAAAM builds real-time 3D dynamic scene graphs using foundation models like SAM and VLMs, targeting large-scale robot mapping with semantic and spatio-temporal memory.</description></item><item><title>DankMaterialShell: A unified Wayland desktop shell with Go backend and QML frontend</title><link>https://ramdi.fr/github-stars/dankmaterialshell-a-unified-wayland-desktop-shell-with-go-backend-and-qml-frontend/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dankmaterialshell-a-unified-wayland-desktop-shell-with-go-backend-and-qml-frontend/</guid><description>DankMaterialShell merges multiple Linux desktop components into a unified Wayland shell using a Go backend and QML frontend. It offers dynamic theming and compositor integrations.</description></item><item><title>daVinci-MagiHuman: Simplifying multimodal video and audio generation with a single-stream transformer</title><link>https://ramdi.fr/github-stars/davinci-magihuman-simplifying-multimodal-video-and-audio-generation-with-a-single-stream-transformer/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/davinci-magihuman-simplifying-multimodal-video-and-audio-generation-with-a-single-stream-transformer/</guid><description>daVinci-MagiHuman uses a 15B-parameter single-stream transformer with a sandwich architecture to generate video and audio from text, achieving competitive quality and fast inference on a single H100 GPU.</description></item><item><title>deb-get: Unifying third-party Debian package management with a shell wrapper</title><link>https://ramdi.fr/github-stars/deb-get-unifying-third-party-debian-package-management-with-a-shell-wrapper/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/deb-get-unifying-third-party-debian-package-management-with-a-shell-wrapper/</guid><description>deb-get extends apt-get to manage third-party .deb packages from PPAs, GitHub, and direct downloads via a curated index and unified CLI, addressing Debian/Ubuntu package fragmentation.</description></item><item><title>DefaultCreds-cheat-sheet: consolidated default credentials for pentesting</title><link>https://ramdi.fr/github-stars/defaultcreds-cheat-sheet-consolidated-default-credentials-for-pentesting/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/defaultcreds-cheat-sheet-consolidated-default-credentials-for-pentesting/</guid><description>DefaultCreds-cheat-sheet consolidates 3,711 default credentials from 1,398 vendors into a Python CLI tool with export and proxy support for pentesting workflows.</description></item><item><title>Deploying RL-trained motion tracking policies on legged robots with motion_tracking_controller</title><link>https://ramdi.fr/github-stars/deploying-rl-trained-motion-tracking-policies-on-legged-robots-with-motion-tracking-controller/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/deploying-rl-trained-motion-tracking-policies-on-legged-robots-with-motion-tracking-controller/</guid><description>motion_tracking_controller is a C++ ROS 2 package deploying RL-trained motion tracking policies on legged robots with ONNX inference and embedded robot control metadata.</description></item><item><title>Design systems as code: Exploring the awesome-claude-design repo and the DESIGN.md format</title><link>https://ramdi.fr/github-stars/design-systems-as-code-exploring-the-awesome-claude-design-repo-and-the-design-md-format/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/design-systems-as-code-exploring-the-awesome-claude-design-repo-and-the-design-md-format/</guid><description>The awesome-claude-design repo offers 68 machine-readable DESIGN.md files encoding brand design systems for Claude Design workspace, enabling AI-driven design consistency.</description></item><item><title>designlang: extracting live website design systems as structured tokens and AI-ready resources</title><link>https://ramdi.fr/github-stars/designlang-extracting-live-website-design-systems-as-structured-tokens-and-ai-ready-resources/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/designlang-extracting-live-website-design-systems-as-structured-tokens-and-ai-ready-resources/</guid><description>designlang reverse-engineers live websites to extract design tokens, layout patterns, and accessibility data, emitting multi-format themes and exposing them via an MCP server for AI agent integration.</description></item><item><title>DevOps interview prep with hands-on questions and video solutions</title><link>https://ramdi.fr/github-stars/devops-interview-prep-with-hands-on-questions-and-video-solutions/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/devops-interview-prep-with-hands-on-questions-and-video-solutions/</guid><description>A curated collection of 115 practical DevOps interview questions with step-by-step video solutions across AWS, Linux, Docker, Kubernetes, and more. Hands-on prep for all levels.</description></item><item><title>dflash-mlx: Speculative decoding on Apple Silicon with Metal and MLX</title><link>https://ramdi.fr/github-stars/dflash-mlx-speculative-decoding-on-apple-silicon-with-metal-and-mlx/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dflash-mlx-speculative-decoding-on-apple-silicon-with-metal-and-mlx/</guid><description>dflash-mlx implements exact speculative decoding for language models on Apple Silicon using Metal and MLX, reducing forward passes with a block-diffusion draft model and per-layer KV cache rollback.</description></item><item><title>DIMO: Distilling Diverse 3D Motion Priors for Arbitrary Object Motion Synthesis</title><link>https://ramdi.fr/github-stars/dimo-distilling-diverse-3d-motion-priors-for-arbitrary-object-motion-synthesis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dimo-distilling-diverse-3d-motion-priors-for-arbitrary-object-motion-synthesis/</guid><description>DIMO distills motion priors from text-conditioned and multi-view video models into a shared latent space, enabling diverse 3D motion generation for arbitrary objects using 3D Gaussian splatting and 4D rendering.</description></item><item><title>Dippy: safe shell command hooks for Claude Code with a custom zero-dependency bash parser</title><link>https://ramdi.fr/github-stars/dippy-safe-shell-command-hooks-for-claude-code-with-a-custom-zero-dependency-bash-parser/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dippy-safe-shell-command-hooks-for-claude-code-with-a-custom-zero-dependency-bash-parser/</guid><description>Dippy uses a custom zero-dependency bash parser to auto-approve safe shell commands run by Claude Code, blocking destructive operations and reducing permission fatigue.</description></item><item><title>dirsearch: a Python web path brute-forcer with precise extension handling</title><link>https://ramdi.fr/github-stars/dirsearch-a-python-web-path-brute-forcer-with-precise-extension-handling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dirsearch-a-python-web-path-brute-forcer-with-precise-extension-handling/</guid><description>dirsearch is a Python tool for brute-forcing web paths with a clever extension handling system. It offers multi-threaded, recursive scanning and session resumption for security reconnaissance.</description></item><item><title>DocsGPT: a flexible AI platform for private agents and enterprise document search</title><link>https://ramdi.fr/github-stars/docsgpt-a-flexible-ai-platform-for-private-agents-and-enterprise-document-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/docsgpt-a-flexible-ai-platform-for-private-agents-and-enterprise-document-search/</guid><description>DocsGPT is a Python-based AI platform for building private agents and enterprise search, with multi-LLM support and versatile deployment modes via Docker Compose.</description></item><item><title>DontFeedTheAI: Wizard-driven deployment of Claude AI proxies</title><link>https://ramdi.fr/github-stars/dontfeedtheai-wizard-driven-deployment-of-claude-ai-proxies/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dontfeedtheai-wizard-driven-deployment-of-claude-ai-proxies/</guid><description>DontFeedTheAI provides an easy wizard-driven way to deploy Claude AI proxies across platforms. It automates engagement setup, deployment, and tunnel management for lightweight AI model access.</description></item><item><title>dotnet/skills: a curated marketplace of AI agent skills for the .NET ecosystem</title><link>https://ramdi.fr/github-stars/dotnet-skills-a-curated-marketplace-of-ai-agent-skills-for-the-net-ecosystem/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dotnet-skills-a-curated-marketplace-of-ai-agent-skills-for-the-net-ecosystem/</guid><description>dotnet/skills offers 11 AI coding assistant plugins covering the full .NET stack, following the agentskills.io standard for cross-platform AI agent integration. Easy install via CLI or IDE.</description></item><item><title>drafft.ink: a Rust-based real-time collaborative whiteboard with CRDTs and WebGPU</title><link>https://ramdi.fr/github-stars/drafft-ink-a-rust-based-real-time-collaborative-whiteboard-with-crdts-and-webgpu/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/drafft-ink-a-rust-based-real-time-collaborative-whiteboard-with-crdts-and-webgpu/</guid><description>drafft.ink is a Rust infinite canvas whiteboard using Loro CRDTs for real-time sync and WebGPU rendering. It features a minimal self-hosted server and an egui UI with sketchy aesthetics.</description></item><item><title>DragonSync-iOS: real-time multi-spectrum RF detection visualization on iOS/macOS</title><link>https://ramdi.fr/github-stars/dragonsync-ios-real-time-multi-spectrum-rf-detection-visualization-on-ios-macos/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dragonsync-ios-real-time-multi-spectrum-rf-detection-visualization-on-ios-macos/</guid><description>DragonSync-iOS connects a Python multi-process backend to a Swift app for real-time, multi-spectrum RF drone detection, featuring ZMQ brokering, SwiftData persistence, and multi-protocol integration.</description></item><item><title>Driving dual SPI displays on the M5Stack Cardputer ADV: managing bus sharing and flicker-free rendering</title><link>https://ramdi.fr/github-stars/driving-dual-spi-displays-on-the-m5stack-cardputer-adv-managing-bus-sharing-and-flicker-free-rendering/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/driving-dual-spi-displays-on-the-m5stack-cardputer-adv-managing-bus-sharing-and-flicker-free-rendering/</guid><description>This repo solves the challenge of driving two SPI displays with different specs on the M5Stack Cardputer ADV by enforcing a strict init sequence and using sprite buffers for flicker-free rendering.</description></item><item><title>DROID-W: extending SLAM to dynamic, in-the-wild scenes with uncertainty estimation</title><link>https://ramdi.fr/github-stars/droid-w-extending-slam-to-dynamic-in-the-wild-scenes-with-uncertainty-estimation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/droid-w-extending-slam-to-dynamic-in-the-wild-scenes-with-uncertainty-estimation/</guid><description>DROID-W builds on DROID-SLAM to handle dynamic scenes in-the-wild by jointly estimating camera pose, scene structure, and dynamic uncertainty using Lie group optimization and metric depth estimation.</description></item><item><title>Edit Mind: orchestrating multi-modal AI pipelines for local-first semantic video search</title><link>https://ramdi.fr/github-stars/edit-mind-orchestrating-multi-modal-ai-pipelines-for-local-first-semantic-video-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/edit-mind-orchestrating-multi-modal-ai-pipelines-for-local-first-semantic-video-search/</guid><description>Edit Mind indexes video libraries with multi-modal AI pipelines and stores embeddings for semantic search. Its Docker Compose microservices orchestrate transcription, object, and face recognition for scene-level queries.</description></item><item><title>Embedding OpenCode AI in Obsidian: A pragmatic approach to AI assistant integration</title><link>https://ramdi.fr/github-stars/embedding-opencode-ai-in-obsidian-a-pragmatic-approach-to-ai-assistant-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/embedding-opencode-ai-in-obsidian-a-pragmatic-approach-to-ai-assistant-integration/</guid><description>Explore how opencode-obsidian embeds the OpenCode AI assistant into Obsidian via a web view, balancing implementation simplicity with UI limitations.</description></item><item><title>Exploring AI agent skills as design systems for UI development in awesome-ai-tools-for-ui</title><link>https://ramdi.fr/github-stars/exploring-ai-agent-skills-as-design-systems-for-ui-development-in-awesome-ai-tools-for-ui/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-ai-agent-skills-as-design-systems-for-ui-development-in-awesome-ai-tools-for-ui/</guid><description>A curated list of 30+ AI-powered tools and agent skills for UI/UX development, showcasing how SKILL.md files serve as new design systems for AI-driven design consistency.</description></item><item><title>Exploring axton-obsidian-visual-skills: AI-powered diagram skills for Obsidian</title><link>https://ramdi.fr/github-stars/exploring-axton-obsidian-visual-skills-ai-powered-diagram-skills-for-obsidian/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-axton-obsidian-visual-skills-ai-powered-diagram-skills-for-obsidian/</guid><description>axton-obsidian-visual-skills offers prompt-based Claude Code Skills to generate Excalidraw, Mermaid, and Canvas diagrams in Obsidian, as a lightweight alternative to MCP servers.</description></item><item><title>Exploring Claude API integration patterns with anthropics/claude-cookbooks</title><link>https://ramdi.fr/github-stars/exploring-claude-api-integration-patterns-with-anthropics-claude-cookbooks/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-claude-api-integration-patterns-with-anthropics-claude-cookbooks/</guid><description>anthropics/claude-cookbooks offers Jupyter Notebook recipes demonstrating practical Claude API usage, including sub-agent orchestration, multimodal vision, and RAG patterns.</description></item><item><title>Exploring the evolution of systematic trading infrastructure: from traditional backtesters to AI-native quant tools</title><link>https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/</guid><description>This curated repo maps the shift in systematic trading from event-driven backtesters to AI-powered strategy discovery, covering multi-asset tools, high-frequency backtesting, and AI agents.</description></item><item><title>Extending Caido with AI skills: modular AI-powered security testing workflows</title><link>https://ramdi.fr/github-stars/extending-caido-with-ai-skills-modular-ai-powered-security-testing-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/extending-caido-with-ai-skills-modular-ai-powered-security-testing-workflows/</guid><description>caido/skills extends Caido with modular AI skills for web security testing, enabling automated workflows and analysis via a TypeScript skill pack installed through a CLI.</description></item><item><title>Extending Vercel AI SDK with modular TypeScript tools for AI applications</title><link>https://ramdi.fr/github-stars/extending-vercel-ai-sdk-with-modular-typescript-tools-for-ai-applications/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/extending-vercel-ai-sdk-with-modular-typescript-tools-for-ai-applications/</guid><description>ai-sdk-tools offers modular TypeScript packages extending Vercel AI SDK with production-ready patterns like multi-agent orchestration and type-safe streaming artifacts for React apps.</description></item><item><title>Falcon-Perception: a minimal multimodal PyTorch engine for object detection, segmentation, and OCR</title><link>https://ramdi.fr/github-stars/falcon-perception-a-minimal-multimodal-pytorch-engine-for-object-detection-segmentation-and-ocr/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/falcon-perception-a-minimal-multimodal-pytorch-engine-for-object-detection-segmentation-and-ocr/</guid><description>Falcon-Perception is a PyTorch engine for multimodal autoregressive Transformers handling detection, segmentation, and OCR with FlexAttention and efficient caching.</description></item><item><title>Feather: on-device iOS app sideloading with certificate-paired signing</title><link>https://ramdi.fr/github-stars/feather-on-device-ios-app-sideloading-with-certificate-paired-signing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/feather-on-device-ios-app-sideloading-with-certificate-paired-signing/</guid><description>Feather is an open-source iOS app manager enabling on-device IPA signing using Apple Developer certificate pairs, reimplementing Zsign within iOS sandbox constraints for certificate-paired sideloading.</description></item><item><title>FinRL-Trading: modular, weight-centric quantitative trading with deployment-consistent backtesting and DRL portfolio allocation</title><link>https://ramdi.fr/github-stars/finrl-trading-modular-weight-centric-quantitative-trading-with-deployment-consistent-backtesting-and-drl-portfolio-allocation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/finrl-trading-modular-weight-centric-quantitative-trading-with-deployment-consistent-backtesting-and-drl-portfolio-allocation/</guid><description>FinRL-Trading offers a modular Python framework for quantitative trading focused on a weight-centric architecture unifying backtesting and live execution, with classical and DRL portfolio methods.</description></item><item><title>Fire Enrich: a sequential multi-agent pipeline for enriched company profiles from emails</title><link>https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/fire-enrich-a-sequential-multi-agent-pipeline-for-enriched-company-profiles-from-emails/</guid><description>Fire Enrich orchestrates 5 specialized AI agents in sequence to enrich company profiles from email addresses, using Next.js, OpenAI, and Firecrawl.</description></item><item><title>fireworks-tech-graph: Natural language to production-ready AI and UML diagrams with embedded visual styles</title><link>https://ramdi.fr/github-stars/fireworks-tech-graph-natural-language-to-production-ready-ai-and-uml-diagrams-with-embedded-visual-styles/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/fireworks-tech-graph-natural-language-to-production-ready-ai-and-uml-diagrams-with-embedded-visual-styles/</guid><description>fireworks-tech-graph is a Claude Code skill that generates production-quality SVG and PNG technical diagrams from natural language, supporting 7 visual styles and 14 UML types plus AI agent patterns.</description></item><item><title>Flowsurface: a Rust native desktop app for advanced crypto order flow visualization</title><link>https://ramdi.fr/github-stars/flowsurface-a-rust-native-desktop-app-for-advanced-crypto-order-flow-visualization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowsurface-a-rust-native-desktop-app-for-advanced-crypto-order-flow-visualization/</guid><description>Flowsurface is a Rust desktop app using iced for real-time crypto order flow charts with direct exchange WebSocket integration and client-side aggregation.</description></item><item><title>forge3d: shipping a high-performance Rust GPU renderer as Python wheels with async viewer APIs</title><link>https://ramdi.fr/github-stars/forge3d-shipping-a-high-performance-rust-gpu-renderer-as-python-wheels-with-async-viewer-apis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/forge3d-shipping-a-high-performance-rust-gpu-renderer-as-python-wheels-with-async-viewer-apis/</guid><description>forge3d is a Rust-based cross-platform 3D renderer exposed as Python wheels with async viewer sessions, terrain and point cloud support, and an open-core licensing model.</description></item><item><title>Foxel: a pluggable, AI-powered self-hosted cloud storage platform</title><link>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/foxel-a-pluggable-ai-powered-self-hosted-cloud-storage-platform/</guid><description>Foxel offers a self-hosted cloud storage platform with runtime plugin loading and AI-driven semantic search across multiple backends. Explore its architecture, plugin system, and deployment.</description></item><item><title>Frappe Builder: A performance-focused low-code visual website builder with Frappe CMS integration</title><link>https://ramdi.fr/github-stars/frappe-builder-a-performance-focused-low-code-visual-website-builder-with-frappe-cms-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-builder-a-performance-focused-low-code-visual-website-builder-with-frappe-cms-integration/</guid><description>Frappe Builder is a Vue-based low-code website builder on Frappe Framework, known for high Lighthouse scores and dynamic CMS integration. Explore its architecture, strengths, and setup.</description></item><item><title>Frappe Helpdesk: A self-hosted, customizable ticket management system with dual portals</title><link>https://ramdi.fr/github-stars/frappe-helpdesk-a-self-hosted-customizable-ticket-management-system-with-dual-portals/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-helpdesk-a-self-hosted-customizable-ticket-management-system-with-dual-portals/</guid><description>Frappe Helpdesk offers an open-source ticket system with agent and customer portals, built on Frappe Framework and Vue. Self-hosted, customizable, with SLA and auto-assignment features.</description></item><item><title>Frappe LMS: Building an extensible learning platform on the Frappe Framework</title><link>https://ramdi.fr/github-stars/frappe-lms-building-an-extensible-learning-platform-on-the-frappe-framework/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-lms-building-an-extensible-learning-platform-on-the-frappe-framework/</guid><description>Frappe LMS uses the Frappe Framework&amp;rsquo;s doctype system to model courses, chapters, and lessons as first-class entities, enabling quick customization and live class support with Zoom integration.</description></item><item><title>freecad-mcp: bridging AI and parametric CAD through an MCP server</title><link>https://ramdi.fr/github-stars/freecad-mcp-bridging-ai-and-parametric-cad-through-an-mcp-server/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/freecad-mcp-bridging-ai-and-parametric-cad-through-an-mcp-server/</guid><description>freecad-mcp uses an MCP server to connect Claude Desktop AI with FreeCAD, enabling AI-driven parametric CAD modeling through RPC tools including arbitrary Python code execution.</description></item><item><title>Gemma-gem: running large language models in Chrome with WebGPU acceleration</title><link>https://ramdi.fr/github-stars/gemma-gem-running-large-language-models-in-chrome-with-webgpu-acceleration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gemma-gem-running-large-language-models-in-chrome-with-webgpu-acceleration/</guid><description>Gemma-gem is a TypeScript Chrome extension using WebGPU to run large language models like E2B and E4B directly in the browser. It requires a recent Chrome and offers GPU-accelerated inference.</description></item><item><title>Generating architecture diagrams as standalone HTML with Claude AI skills</title><link>https://ramdi.fr/github-stars/generating-architecture-diagrams-as-standalone-html-with-claude-ai-skills/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/generating-architecture-diagrams-as-standalone-html-with-claude-ai-skills/</guid><description>This repo uses a Claude AI skill to generate dark-themed system architecture diagrams as self-contained HTML/SVG files with zero dependencies, using semantic color coding and prompt engineering.</description></item><item><title>GeoPulse: A lightweight self-hosted platform for GPS data to movement timeline transformation</title><link>https://ramdi.fr/github-stars/geopulse-a-lightweight-self-hosted-platform-for-gps-data-to-movement-timeline-transformation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/geopulse-a-lightweight-self-hosted-platform-for-gps-data-to-movement-timeline-transformation/</guid><description>GeoPulse turns raw GPS data from multiple sources into searchable timelines of stays and trips using automatic trip detection. Lightweight and multi-user with OIDC/SSO support.</description></item><item><title>Gephi: modular graph visualization with NetBeans plugin architecture</title><link>https://ramdi.fr/github-stars/gephi-modular-graph-visualization-with-netbeans-plugin-architecture/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gephi-modular-graph-visualization-with-netbeans-plugin-architecture/</guid><description>Gephi is an open-source Java platform for visualizing and manipulating large graphs up to a million elements in real-time. Its modular NetBeans-based architecture enables rich plugin extensibility.</description></item><item><title>Ghist: repo-native task management for AI coding agents with conflict-free JSON storage</title><link>https://ramdi.fr/github-stars/ghist-repo-native-task-management-for-ai-coding-agents-with-conflict-free-json-storage/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ghist-repo-native-task-management-for-ai-coding-agents-with-conflict-free-json-storage/</guid><description>Ghist replaces Jira and Linear with repo-native task tracking using JSON files to avoid Git conflicts, syncing seamlessly with AI coding agents like Claude.</description></item><item><title>gigabrain: a modular AI agent tooling plugin for OpenClaw and Claude Code</title><link>https://ramdi.fr/github-stars/gigabrain-a-modular-ai-agent-tooling-plugin-for-openclaw-and-claude-code/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gigabrain-a-modular-ai-agent-tooling-plugin-for-openclaw-and-claude-code/</guid><description>gigabrain is a Node.js plugin that extends OpenClaw and AI toolchains like Codex and Claude Code, providing setup and verification utilities for AI agent workflows.</description></item><item><title>github-readme-stats: serverless dynamic GitHub stats with percentile-based ranking</title><link>https://ramdi.fr/github-stars/github-readme-stats-serverless-dynamic-github-stats-with-percentile-based-ranking/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/github-readme-stats-serverless-dynamic-github-stats-with-percentile-based-ranking/</guid><description>github-readme-stats generates dynamic SVG GitHub user stats cards with percentile-based ranks, deployed serverless on Vercel with caching to handle API rate limits.</description></item><item><title>Gitingest: turning GitHub repos into AI-friendly text digests with a clever URL hack</title><link>https://ramdi.fr/github-stars/gitingest-turning-github-repos-into-ai-friendly-text-digests-with-a-clever-url-hack/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gitingest-turning-github-repos-into-ai-friendly-text-digests-with-a-clever-url-hack/</guid><description>Gitingest is a Python CLI and API that converts Git repos into LLM-optimized text digests, featuring a unique URL hack for instant GitHub repo ingestion and self-hosted FastAPI server.</description></item><item><title>gnhf: Git-backed orchestration of autonomous AI coding agents</title><link>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</guid><description>gnhf runs AI coding agents in autonomous git-backed loops, enabling persistent, version-controlled iterative code generation with rollback and resume capabilities.</description></item><item><title>GoAccess: fast, real-time web log analysis in C</title><link>https://ramdi.fr/github-stars/goaccess-fast-real-time-web-log-analysis-in-c/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/goaccess-fast-real-time-web-log-analysis-in-c/</guid><description>GoAccess is a real-time web log analyzer written in C, offering low-footprint, fast HTML reports with geoip and TLS support. Easy to build or install via packages.</description></item><item><title>Goose Skills: Modular GTM AI agent skills for sales and marketing automation</title><link>https://ramdi.fr/github-stars/goose-skills-modular-gtm-ai-agent-skills-for-sales-and-marketing-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/goose-skills-modular-gtm-ai-agent-skills-for-sales-and-marketing-automation/</guid><description>Goose Skills provides 108 reusable AI agent skills for sales, marketing, and competitive intelligence, structured as atomic tools, skill chains, and workflows for coding agents like Claude and Codex.</description></item><item><title>goscrapy: a Go-based web scraping framework with CLI scaffolding</title><link>https://ramdi.fr/github-stars/goscrapy-a-go-based-web-scraping-framework-with-cli-scaffolding/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/goscrapy-a-go-based-web-scraping-framework-with-cli-scaffolding/</guid><description>goscrapy is a Go framework for web scraping that includes a CLI scaffolding tool. It requires Go 1.23+ and offers a minimal setup for building scraping projects.</description></item><item><title>graph-memory: a knowledge graph context engine plugin for AI agents using dual-path recall</title><link>https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/</guid><description>graph-memory compresses AI agent context by 75% using a knowledge graph and dual-path recall with Personalized PageRank. It combines precise entity search and semantic matching for improved memory across sessions.</description></item><item><title>graymatter: a modular MCP server for local-first AI prompt packages</title><link>https://ramdi.fr/github-stars/graymatter-a-modular-mcp-server-for-local-first-ai-prompt-packages/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/graymatter-a-modular-mcp-server-for-local-first-ai-prompt-packages/</guid><description>Graymatter is a Go-based MCP server managing modular prompt packages for AI agents like Claude Code, offering local-first lazy loading and easy integration with AI CLIs.</description></item><item><title>Gridex: a native cross-platform database IDE with a secure AI-integrated MCP server</title><link>https://ramdi.fr/github-stars/gridex-a-native-cross-platform-database-ide-with-a-secure-ai-integrated-mcp-server/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gridex-a-native-cross-platform-database-ide-with-a-secure-ai-integrated-mcp-server/</guid><description>Gridex is a native cross-platform database IDE unifying seven database engines with a security-focused MCP server that safely exposes DB operations to AI agents. It uses native UI tech per OS and supports SSH, mTLS, and AI chat integrations.</description></item><item><title>HA Optimizer: deep health auditing and anomaly detection for Home Assistant</title><link>https://ramdi.fr/github-stars/ha-optimizer-deep-health-auditing-and-anomaly-detection-for-home-assistant/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ha-optimizer-deep-health-auditing-and-anomaly-detection-for-home-assistant/</guid><description>HA Optimizer is a Home Assistant custom integration performing health audits with anomaly detection based on a 30-day baseline, plus soft-delete purge and real-time resource monitoring.</description></item><item><title>Hands-On Large Language Models: A practical, visual journey through LLM engineering</title><link>https://ramdi.fr/github-stars/hands-on-large-language-models-a-practical-visual-journey-through-llm-engineering/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/hands-on-large-language-models-a-practical-visual-journey-through-llm-engineering/</guid><description>Explore the Hands-On Large Language Models repo, a Jupyter notebook-based practical guide from fundamentals to fine-tuning, designed for hands-on LLM learning on free Colab GPUs.</description></item><item><title>heygen-com/skills: modular AI agent skills for avatar and video generation</title><link>https://ramdi.fr/github-stars/heygen-com-skills-modular-ai-agent-skills-for-avatar-and-video-generation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/heygen-com-skills-modular-ai-agent-skills-for-avatar-and-video-generation/</guid><description>heygen-com/skills offers modular AI agent skills to create digital avatars and videos from photos, integrating with multiple coding agents via an agent-driven install pattern.</description></item><item><title>hf-agents: a shell CLI extension for hardware-aware local coding agents with llama.cpp</title><link>https://ramdi.fr/github-stars/hf-agents-a-shell-cli-extension-for-hardware-aware-local-coding-agents-with-llama-cpp/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/hf-agents-a-shell-cli-extension-for-hardware-aware-local-coding-agents-with-llama-cpp/</guid><description>hf-agents automates hardware profiling, model selection, and local coding agent deployment using llama.cpp and Pi, all in a shell CLI extension. Efficient and minimal dependencies.</description></item><item><title>HoundDog.ai: deterministic static analysis for privacy-focused dataflow tracking</title><link>https://ramdi.fr/github-stars/hounddog-ai-deterministic-static-analysis-for-privacy-focused-dataflow-tracking/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/hounddog-ai-deterministic-static-analysis-for-privacy-focused-dataflow-tracking/</guid><description>HoundDog.ai scans large codebases locally to detect sensitive data leaks using deterministic static analysis combined with AI-generated rules. Supports multiple languages and privacy compliance.</description></item><item><title>How awesome-mac curates macOS developer tools with community and structure</title><link>https://ramdi.fr/github-stars/how-awesome-mac-curates-macos-developer-tools-with-community-and-structure/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-awesome-mac-curates-macos-developer-tools-with-community-and-structure/</guid><description>awesome-mac is a community-curated markdown catalog of macOS developer tools. Discover how its taxonomy and contribution model made it a 100k+ star resource for developers.</description></item><item><title>How IKEA-3D-Model-Download-Button extracts and downloads GLB models from IKEA product pages</title><link>https://ramdi.fr/github-stars/how-ikea-3d-model-download-button-extracts-and-downloads-glb-models-from-ikea-product-pages/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-ikea-3d-model-download-button-extracts-and-downloads-glb-models-from-ikea-product-pages/</guid><description>A Tampermonkey userscript adds a download button for IKEA&amp;rsquo;s 3D models, hooking into their viewer to fetch GLB URLs and enable direct downloads with smart filenames.</description></item><item><title>How Pyenb/macOS-ISOs distributes macOS VM installation media via BitTorrent</title><link>https://ramdi.fr/github-stars/how-pyenb-macos-isos-distributes-macos-vm-installation-media-via-bittorrent/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-pyenb-macos-isos-distributes-macos-vm-installation-media-via-bittorrent/</guid><description>Pyenb/macOS-ISOs offers curated macOS ISO images for VM users without Macs, distributed via BitTorrent to reduce bandwidth costs. Here&amp;rsquo;s how it works and what to expect.</description></item><item><title>How the 'battery' tool controls Apple Silicon Mac charging through SMC register writes</title><link>https://ramdi.fr/github-stars/how-the-battery-tool-controls-apple-silicon-mac-charging-through-smc-register-writes/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-the-battery-tool-controls-apple-silicon-mac-charging-through-smc-register-writes/</guid><description>The &amp;lsquo;battery&amp;rsquo; utility uses a Shell script and a precompiled SMC binary to control Apple Silicon Mac charging thresholds at the hardware level, with persistence across reboots.</description></item><item><title>How the claude-plugins repo orchestrates multi-agent AI consultation with multiple LLMs</title><link>https://ramdi.fr/github-stars/how-the-claude-plugins-repo-orchestrates-multi-agent-ai-consultation-with-multiple-llms/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-the-claude-plugins-repo-orchestrates-multi-agent-ai-consultation-with-multiple-llms/</guid><description>claude-plugins is a TypeScript-based plugin marketplace for Claude Code, featuring a multi-agent consultant plugin that runs parallel LLMs like GPT-5, Gemini, Grok, Perplexity, and Claude for AI consultation.</description></item><item><title>How video-use turns AI agents into transcript-driven video editors</title><link>https://ramdi.fr/github-stars/how-video-use-turns-ai-agents-into-transcript-driven-video-editors/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-video-use-turns-ai-agents-into-transcript-driven-video-editors/</guid><description>video-use replaces frame-heavy editing with transcript-driven AI agents, using ElevenLabs Scribe and self-evaluation to produce polished edits.</description></item><item><title>Hyperframes: HTML-native video rendering framework optimized for AI coding agents</title><link>https://ramdi.fr/github-stars/hyperframes-html-native-video-rendering-framework-optimized-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/hyperframes-html-native-video-rendering-framework-optimized-for-ai-coding-agents/</guid><description>Hyperframes uses HTML + CSS + GSAP for video rendering with AI agent-friendly CLI and plugins. It leverages deterministic headless Chrome rendering and supports multiple animation runtimes.</description></item><item><title>Infisical: A comprehensive open-source secrets management platform with zero-code secret injection</title><link>https://ramdi.fr/github-stars/infisical-a-comprehensive-open-source-secrets-management-platform-with-zero-code-secret-injection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/infisical-a-comprehensive-open-source-secrets-management-platform-with-zero-code-secret-injection/</guid><description>Infisical is an open-source secrets management platform offering dynamic secrets, PKI management, RBAC, and a unique zero-code secret injection agent. It’s built in TypeScript and deploys via Docker Compose.</description></item><item><title>Injecting domain expertise into Claude AI: a deep dive into the email-marketing-bible skill</title><link>https://ramdi.fr/github-stars/injecting-domain-expertise-into-claude-ai-a-deep-dive-into-the-email-marketing-bible-skill/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/injecting-domain-expertise-into-claude-ai-a-deep-dive-into-the-email-marketing-bible-skill/</guid><description>Explore how the email-marketing-bible Claude Code skill injects 68,000 words of sourced email marketing expertise into Claude AI, enabling expert audits, copywriting, and automation advice.</description></item><item><title>Inside ab-download-manager: Kotlin Multiplatform for cross-platform download acceleration</title><link>https://ramdi.fr/github-stars/inside-ab-download-manager-kotlin-multiplatform-for-cross-platform-download-acceleration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ab-download-manager-kotlin-multiplatform-for-cross-platform-download-acceleration/</guid><description>Explore ab-download-manager, a Kotlin Multiplatform desktop app for accelerated downloads on Windows, macOS, Linux, and Android with browser integration and queue management.</description></item><item><title>Inside Alibaba's Logics-Parsing-v2: end-to-end structured document parsing beyond OCR</title><link>https://ramdi.fr/github-stars/inside-alibaba-s-logics-parsing-v2-end-to-end-structured-document-parsing-beyond-ocr/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-alibaba-s-logics-parsing-v2-end-to-end-structured-document-parsing-beyond-ocr/</guid><description>Alibaba&amp;rsquo;s Logics-Parsing-v2 converts complex document images into structured HTML, handling formulas, tables, flowcharts, music sheets, and pseudocode with a single model.</description></item><item><title>Inside Alibaba’s VRAG: Multimodal Retrieval-Augmented Generation with Dynamic Reasoning Graphs</title><link>https://ramdi.fr/github-stars/inside-alibabas-vrag-multimodal-retrieval-augmented-generation-with-dynamic-reasoning-graphs/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-alibabas-vrag-multimodal-retrieval-augmented-generation-with-dynamic-reasoning-graphs/</guid><description>Alibaba&amp;rsquo;s VRAG models reasoning as a dynamic DAG with multimodal memory and RL-based fine-grained credit assignment, supporting text, image, and video retrieval in a unified framework.</description></item><item><title>Inside awesome-music: a curated map of open-source music and audio projects</title><link>https://ramdi.fr/github-stars/inside-awesome-music-a-curated-map-of-open-source-music-and-audio-projects/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-awesome-music-a-curated-map-of-open-source-music-and-audio-projects/</guid><description>awesome-music catalogs 100+ open-source music and audio projects across categories like audio editing, DSP, notation, and algorithmic composition, highlighting a mature Lilypond ecosystem.</description></item><item><title>Inside device-activity-tracker: exploiting WhatsApp timing side-channels for device state detection</title><link>https://ramdi.fr/github-stars/inside-device-activity-tracker-exploiting-whatsapp-timing-side-channels-for-device-state-detection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-device-activity-tracker-exploiting-whatsapp-timing-side-channels-for-device-state-detection/</guid><description>device-activity-tracker is a TypeScript proof-of-concept exploiting WhatsApp and Signal delivery receipt timing to detect device states via RTT measurement and dynamic thresholds.</description></item><item><title>Inside felipeDS91's WhatsApp API: TypeScript meets Docker for messaging automation</title><link>https://ramdi.fr/github-stars/inside-felipeds91-s-whatsapp-api-typescript-meets-docker-for-messaging-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-felipeds91-s-whatsapp-api-typescript-meets-docker-for-messaging-automation/</guid><description>Explore felipeDS91&amp;rsquo;s WhatsApp API built with TypeScript, Docker, and MySQL. Learn its architecture, strengths, setup commands, and who should consider using it.</description></item><item><title>Inside FilmKit: Reverse-engineering Fujifilm X-series camera preset management with WebUSB</title><link>https://ramdi.fr/github-stars/inside-filmkit-reverse-engineering-fujifilm-x-series-camera-preset-management-with-webusb/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-filmkit-reverse-engineering-fujifilm-x-series-camera-preset-management-with-webusb/</guid><description>FilmKit manages Fujifilm X-series camera presets and RAW conversion in-browser via WebUSB, using reverse-engineered PTP protocols to offload processing to the camera. Tested on X100VI.</description></item><item><title>Inside Genie Envisioner: A two-stage video diffusion platform for robotic manipulation</title><link>https://ramdi.fr/github-stars/inside-genie-envisioner-a-two-stage-video-diffusion-platform-for-robotic-manipulation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-genie-envisioner-a-two-stage-video-diffusion-platform-for-robotic-manipulation/</guid><description>Genie Envisioner offers a two-stage training pipeline using video diffusion for robotic manipulation, separating world model adaptation from action policy learning. Here&amp;rsquo;s how it works and how to get started.</description></item><item><title>Inside Il2CppDumper-GUI: simplifying IL2CPP metadata extraction from Unity game archives</title><link>https://ramdi.fr/github-stars/inside-il2cppdumper-gui-simplifying-il2cpp-metadata-extraction-from-unity-game-archives/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-il2cppdumper-gui-simplifying-il2cpp-metadata-extraction-from-unity-game-archives/</guid><description>Il2CppDumper-GUI automates IL2CPP metadata extraction from Unity game archives on Windows, supporting multiple package formats for streamlined reverse engineering.</description></item><item><title>Inside Mysteriumnetwork Node: A decentralized VPN node implementation in Go</title><link>https://ramdi.fr/github-stars/inside-mysteriumnetwork-node-a-decentralized-vpn-node-implementation-in-go/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-mysteriumnetwork-node-a-decentralized-vpn-node-implementation-in-go/</guid><description>Mysteriumnetwork/node is a Go-based decentralized VPN node implementation enabling privacy and censorship resistance. Here&amp;rsquo;s how it works, its architecture, and how to get started.</description></item><item><title>Inside NousResearch's finetuning-subnet: continuous incentivized fine-tuning for LLMs on Bittensor</title><link>https://ramdi.fr/github-stars/inside-nousresearch-s-finetuning-subnet-continuous-incentivized-fine-tuning-for-llms-on-bittensor/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-nousresearch-s-finetuning-subnet-continuous-incentivized-fine-tuning-for-llms-on-bittensor/</guid><description>NousResearch&amp;rsquo;s finetuning-subnet enables continuous, incentivized fine-tuning of LLMs using synthetic data from a separate subnet, pioneering cross-subnet communication in Bittensor.</description></item><item><title>Inside openclaw-claude-bridge: a translation layer bridging OpenClaw and Claude Code CLI</title><link>https://ramdi.fr/github-stars/inside-openclaw-claude-bridge-a-translation-layer-bridging-openclaw-and-claude-code-cli/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-openclaw-claude-bridge-a-translation-layer-bridging-openclaw-and-claude-code-cli/</guid><description>openclaw-claude-bridge translates OpenClaw&amp;rsquo;s OpenAI API calls into Claude Code CLI&amp;rsquo;s native protocol, managing persistent sessions and tool-call conversions with a React dashboard for real-time metrics.</description></item><item><title>Inside polymarket-kalshi-weather-bot: a multi-strategy prediction market trading bot with ensemble weather forecasting</title><link>https://ramdi.fr/github-stars/inside-polymarket-kalshi-weather-bot-a-multi-strategy-prediction-market-trading-bot-with-ensemble-weather-forecasting/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-polymarket-kalshi-weather-bot-a-multi-strategy-prediction-market-trading-bot-with-ensemble-weather-forecasting/</guid><description>Explore polymarket-kalshi-weather-bot, a Python trading bot exploiting BTC microstructure and ensemble weather forecasts for prediction market arbitrage. Uses fractional Kelly sizing and real-time React dashboard.</description></item><item><title>Inside Ragtime_Panthera: a C++ 6-DOF robotic arm with plans for 7-DOF dexterity</title><link>https://ramdi.fr/github-stars/inside-ragtime-panthera-a-c-6-dof-robotic-arm-with-plans-for-7-dof-dexterity/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ragtime-panthera-a-c-6-dof-robotic-arm-with-plans-for-7-dof-dexterity/</guid><description>Ragtime_Panthera is an open-source 6-DOF robotic arm with integrated gripper, built in C++ with Python tutorials. Discover its architecture, control stack, and the move to 7-DOF for more dexterity.</description></item><item><title>Inside Search by Image: a JavaScript browser extension unifying 30+ reverse image search engines</title><link>https://ramdi.fr/github-stars/inside-search-by-image-a-javascript-browser-extension-unifying-30-reverse-image-search-engines/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-search-by-image-a-javascript-browser-extension-unifying-30-reverse-image-search-engines/</guid><description>Search by Image is a mature JavaScript browser extension that unifies 30+ reverse image search engines with five search modes and robust image detection across embedding methods.</description></item><item><title>Inside Second Brain: A Python AI OS with self-extending plugins and hybrid search</title><link>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</guid><description>Second Brain is a Python framework that indexes local files with embeddings, runs background subagents, and lets AI agents build and hot-load their own plugins at runtime.</description></item><item><title>Inside Shuffle: an open-source platform for distributed security automation workflows</title><link>https://ramdi.fr/github-stars/inside-shuffle-an-open-source-platform-for-distributed-security-automation-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-shuffle-an-open-source-platform-for-distributed-security-automation-workflows/</guid><description>Shuffle is an open-source SOAR platform with a distributed execution model that scales security automation across cloud and on-prem environments using Golang backend and ReactJS frontend.</description></item><item><title>Inside Spider: physics-based motion retargeting from human videos to diverse robots</title><link>https://ramdi.fr/github-stars/inside-spider-physics-based-motion-retargeting-from-human-videos-to-diverse-robots/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-spider-physics-based-motion-retargeting-from-human-videos-to-diverse-robots/</guid><description>Spider retargets human motion to multiple robots using a modular physics pipeline with inverse kinematics and optimization, supporting 9+ robots and 6+ datasets out of the box.</description></item><item><title>Inside stream-video-js: a layered TypeScript SDK for multi-platform video calling</title><link>https://ramdi.fr/github-stars/inside-stream-video-js-a-layered-typescript-sdk-for-multi-platform-video-calling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-stream-video-js-a-layered-typescript-sdk-for-multi-platform-video-calling/</guid><description>stream-video-js offers a layered TypeScript SDK for building video calls, audio rooms, and livestreams across React, React Native, and vanilla JS. It runs on a global edge network with 99.999% uptime.</description></item><item><title>Inside the undetectable fingerprint browser: a Chromium-based anti-detection tool with consistency analysis</title><link>https://ramdi.fr/github-stars/inside-the-undetectable-fingerprint-browser-a-chromium-based-anti-detection-tool-with-consistency-analysis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-undetectable-fingerprint-browser-a-chromium-based-anti-detection-tool-with-consistency-analysis/</guid><description>This Chromium-based browser spoofs fingerprints across multiple vectors with a consistency engine to avoid conflicting signals. Automation ready with Puppeteer/Playwright support.</description></item><item><title>Inside the ZED SDK: GPU-accelerated spatial perception for stereo cameras</title><link>https://ramdi.fr/github-stars/inside-the-zed-sdk-gpu-accelerated-spatial-perception-for-stereo-cameras/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-zed-sdk-gpu-accelerated-spatial-perception-for-stereo-cameras/</guid><description>Explore the ZED SDK, a C++ library for real-time stereo vision, SLAM, and spatial mapping with GPU acceleration and zero-copy CUDA interoperability for edge robotics.</description></item><item><title>Invoice Builder: dual-database offline-first invoicing with Electron and Docker</title><link>https://ramdi.fr/github-stars/invoice-builder-dual-database-offline-first-invoicing-with-electron-and-docker/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/invoice-builder-dual-database-offline-first-invoicing-with-electron-and-docker/</guid><description>Invoice Builder offers an offline-first invoicing app using a dual database backend (SQLite and PostgreSQL) with Electron desktop and Docker multi-user support.</description></item><item><title>ios-marketing-capture: in-app screenshot automation for SwiftUI iOS apps</title><link>https://ramdi.fr/github-stars/ios-marketing-capture-in-app-screenshot-automation-for-swiftui-ios-apps/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ios-marketing-capture-in-app-screenshot-automation-for-swiftui-ios-apps/</guid><description>ios-marketing-capture automates App Store screenshot generation by injecting debug code into SwiftUI apps, bypassing XCUITest, and navigating screens programmatically. It supports locale looping and element-level renders.</description></item><item><title>ipblocklist: Aggregated IP threat intelligence with clear licensing boundaries</title><link>https://ramdi.fr/github-stars/ipblocklist-aggregated-ip-threat-intelligence-with-clear-licensing-boundaries/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ipblocklist-aggregated-ip-threat-intelligence-with-clear-licensing-boundaries/</guid><description>ipblocklist aggregates IP blocklists from 30+ threat intel sources into curated inbound and outbound lists, balancing licensing constraints and operational complexity.</description></item><item><title>ISC-Bench: exposing fundamental AI safety failures from workflow-level design</title><link>https://ramdi.fr/github-stars/isc-bench-exposing-fundamental-ai-safety-failures-from-workflow-level-design/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/isc-bench-exposing-fundamental-ai-safety-failures-from-workflow-level-design/</guid><description>ISC-Bench reveals a structural AI safety flaw where LLMs produce harmful outputs to complete tasks, bypassing prompt-level defenses. It benchmarks this workflow-level vulnerability across top models.</description></item><item><title>jdeskew: frequency-domain skew estimation for document images using adaptive radial projection</title><link>https://ramdi.fr/github-stars/jdeskew-frequency-domain-skew-estimation-for-document-images-using-adaptive-radial-projection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/jdeskew-frequency-domain-skew-estimation-for-document-images-using-adaptive-radial-projection/</guid><description>jdeskew estimates document image skew angles by projecting the Fourier magnitude spectrum radially. It offers a Python package with pip and Docker options, outperforming baselines on DISE 2021 benchmarks.</description></item><item><title>Kavita: a cross-platform self-hosted reading server for comics and ebooks</title><link>https://ramdi.fr/github-stars/kavita-a-cross-platform-self-hosted-reading-server-for-comics-and-ebooks/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kavita-a-cross-platform-self-hosted-reading-server-for-comics-and-ebooks/</guid><description>Kavita is a C# reading server for comics and ebooks supporting multiple archive formats and continuous web reading modes, designed for self-hosting and rich user management.</description></item><item><title>KiCAD MCP Server: Bridging AI and PCB Design with the Model Context Protocol</title><link>https://ramdi.fr/github-stars/kicad-mcp-server-bridging-ai-and-pcb-design-with-the-model-context-protocol/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kicad-mcp-server-bridging-ai-and-pcb-design-with-the-model-context-protocol/</guid><description>KiCAD MCP Server connects LLMs with KiCAD for AI-driven PCB design operations, enabling schematic editing, routing, and custom footprint generation via the Model Context Protocol.</description></item><item><title>Kitaru: a durable runtime for autonomous AI agents with checkpointed execution</title><link>https://ramdi.fr/github-stars/kitaru-a-durable-runtime-for-autonomous-ai-agents-with-checkpointed-execution/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kitaru-a-durable-runtime-for-autonomous-ai-agents-with-checkpointed-execution/</guid><description>Kitaru offers a framework-agnostic runtime for autonomous AI agents with durable execution via checkpointing, enabling replay and state preservation to avoid costly restarts on failures.</description></item><item><title>KittyFarm: unified iOS and Android emulator management on macOS without screen recording prompts</title><link>https://ramdi.fr/github-stars/kittyfarm-unified-ios-and-android-emulator-management-on-macos-without-screen-recording-prompts/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kittyfarm-unified-ios-and-android-emulator-management-on-macos-without-screen-recording-prompts/</guid><description>KittyFarm aggregates iOS Simulators and Android Emulators in one macOS window with synchronized touch input, using private SimulatorKit APIs to avoid screen recording permissions.</description></item><item><title>Knowledge Engine: bridging markdown wikis with sub-5ms semantic search</title><link>https://ramdi.fr/github-stars/knowledge-engine-bridging-markdown-wikis-with-sub-5ms-semantic-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/knowledge-engine-bridging-markdown-wikis-with-sub-5ms-semantic-search/</guid><description>Knowledge Engine connects markdown wikis with Memvid&amp;rsquo;s sub-5ms semantic search using a dual-layer design, automatic sync, and entity extraction for AI-augmented knowledge work.</description></item><item><title>KohakuTerrarium: Modular AI agent composition with algebraic pipelines</title><link>https://ramdi.fr/github-stars/kohakuterrarium-modular-ai-agent-composition-with-algebraic-pipelines/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kohakuterrarium-modular-ai-agent-composition-with-algebraic-pipelines/</guid><description>KohakuTerrarium offers a Python framework to build modular AI agents using a unique algebra for composing multi-agent pipelines, with session persistence and multi-runtime support.</description></item><item><title>Kovan: wait-free memory reclamation for Rust concurrency with 128-bit atomics</title><link>https://ramdi.fr/github-stars/kovan-wait-free-memory-reclamation-for-rust-concurrency-with-128-bit-atomics/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kovan-wait-free-memory-reclamation-for-rust-concurrency-with-128-bit-atomics/</guid><description>Kovan is a Rust library offering wait-free memory reclamation for lock-free data structures using 128-bit atomics, achieving 2.79ns pin overhead — faster than crossbeam-epoch and others.</description></item><item><title>KRR: Kubernetes resource recommendations powered by Prometheus metrics</title><link>https://ramdi.fr/github-stars/krr-kubernetes-resource-recommendations-powered-by-prometheus-metrics/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/krr-kubernetes-resource-recommendations-powered-by-prometheus-metrics/</guid><description>KRR helps Kubernetes users optimize resource allocation by analyzing Prometheus metrics and generating actionable recommendations. This Python tool integrates with kube-prometheus-stack or Robusta&amp;rsquo;s embedded Prometheus.</description></item><item><title>kvcached: a plugin cache for SGLang and vLLM Python environments</title><link>https://ramdi.fr/github-stars/kvcached-a-plugin-cache-for-sglang-and-vllm-python-environments/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kvcached-a-plugin-cache-for-sglang-and-vllm-python-environments/</guid><description>kvcached provides a plugin cache layer for SGLang and vLLM Python LLM environments, easing deployment with PyPI and Docker support. Useful for optimizing LLM workflows.</description></item><item><title>LiteRT-LM: Google's C++ library for efficient edge language model inference</title><link>https://ramdi.fr/github-stars/litert-lm-google-s-c-library-for-efficient-edge-language-model-inference/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/litert-lm-google-s-c-library-for-efficient-edge-language-model-inference/</guid><description>LiteRT-LM is a Google AI Edge C++ library for performant language model inference on edge devices with multi-language API support and easy CLI usage.</description></item><item><title>LLM-God: orchestrating multiple LLM web UIs in one Electron app with DOM injection</title><link>https://ramdi.fr/github-stars/llm-god-orchestrating-multiple-llm-web-uis-in-one-electron-app-with-dom-injection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-god-orchestrating-multiple-llm-web-uis-in-one-electron-app-with-dom-injection/</guid><description>LLM-God bundles multiple LLM web interfaces into a single Electron app, using DOM injection to send prompts to all models simultaneously. It offers a clever free-tier workaround with tradeoffs.</description></item><item><title>llm-wikid: agent-agnostic AI knowledge base with schema-driven compilation for Obsidian</title><link>https://ramdi.fr/github-stars/llm-wikid-agent-agnostic-ai-knowledge-base-with-schema-driven-compilation-for-obsidian/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-wikid-agent-agnostic-ai-knowledge-base-with-schema-driven-compilation-for-obsidian/</guid><description>llm-wikid uses a CLAUDE.md schema to control a multi-phase ingest pipeline compiling markdown wiki pages for Obsidian, offering better Q&amp;amp;A at scale than RAG. Supports multiple AI agents and quality checks.</description></item><item><title>LocationSimulator: system-level iOS location spoofing without jailbreak</title><link>https://ramdi.fr/github-stars/locationsimulator-system-level-ios-location-spoofing-without-jailbreak/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/locationsimulator-system-level-ios-location-spoofing-without-jailbreak/</guid><description>LocationSimulator injects mock GPS coordinates into iOS devices via DeveloperDiskImage, enabling location spoofing without jailbreak or app install. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>Lucebox Hub: hand-optimized CUDA kernels for efficient LLM inference on RTX 3090 and beyond</title><link>https://ramdi.fr/github-stars/lucebox-hub-hand-optimized-cuda-kernels-for-efficient-llm-inference-on-rtx-3090-and-beyond/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/lucebox-hub-hand-optimized-cuda-kernels-for-efficient-llm-inference-on-rtx-3090-and-beyond/</guid><description>Lucebox Hub optimizes LLM inference on consumer GPUs using a megakernel CUDA approach and speculative decoding, achieving high throughput on RTX 3090 and newer Nvidia GPUs.</description></item><item><title>Luna: a self-hosted Go calendar aggregator unifying CalDav, iCal, and Google Calendar</title><link>https://ramdi.fr/github-stars/luna-a-self-hosted-go-calendar-aggregator-unifying-caldav-ical-and-google-calendar/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/luna-a-self-hosted-go-calendar-aggregator-unifying-caldav-ical-and-google-calendar/</guid><description>Luna is a Go-based self-hosted calendar aggregator that unifies CalDav, iCal, and Google Calendar into a single customizable web frontend with user management and theming.</description></item><item><title>LycheeMemory: a lightweight semantic long-term memory framework for LLM agents</title><link>https://ramdi.fr/github-stars/lycheememory-a-lightweight-semantic-long-term-memory-framework-for-llm-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/lycheememory-a-lightweight-semantic-long-term-memory-framework-for-llm-agents/</guid><description>LycheeMemory offers a lightweight semantic memory system for LLM agents, cutting token use by 71% and costs by 55% compared to native memory, with SQLite + LanceDB backend and REST/MCP APIs.</description></item><item><title>Mac Mouse Fix: system-level mouse input remapping for macOS</title><link>https://ramdi.fr/github-stars/mac-mouse-fix-system-level-mouse-input-remapping-for-macos/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mac-mouse-fix-system-level-mouse-input-remapping-for-macos/</guid><description>Mac Mouse Fix intercepts macOS raw mouse input to provide trackpad-like gestures and smooth scrolling on third-party mice without vendor drivers. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>MacSift: a safety-first macOS disk cleaner with SwiftUI and MVVM</title><link>https://ramdi.fr/github-stars/macsift-a-safety-first-macos-disk-cleaner-with-swiftui-and-mvvm/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/macsift-a-safety-first-macos-disk-cleaner-with-swiftui-and-mvvm/</guid><description>MacSift is a lightweight macOS disk cleaner built with SwiftUI and MVVM, emphasizing safety with hard-blocked system paths, SHA-256 selection persistence, and Trash-only deletion. Apple Silicon only.</description></item><item><title>MAGI: A structured multi-LLM debate system with iterative critique and voting</title><link>https://ramdi.fr/github-stars/magi-a-structured-multi-llm-debate-system-with-iterative-critique-and-voting/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/magi-a-structured-multi-llm-debate-system-with-iterative-critique-and-voting/</guid><description>MAGI implements a multi-round debate protocol among three LLMs to match stronger models&amp;rsquo; accuracy via iterative critique and voting. It offers fault tolerance, adaptive escalation, and persona presets.</description></item><item><title>Magika: Google's deep learning system for fast, accurate file type detection</title><link>https://ramdi.fr/github-stars/magika-google-s-deep-learning-system-for-fast-accurate-file-type-detection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/magika-google-s-deep-learning-system-for-fast-accurate-file-type-detection/</guid><description>Magika replaces magic-byte heuristics with a tiny deep learning model for file type detection, achieving ~99% accuracy across 200+ types with 5ms CPU inference.</description></item><item><title>Maple: a lightweight keyboard-driven bookmark manager as a browser extension</title><link>https://ramdi.fr/github-stars/maple-a-lightweight-keyboard-driven-bookmark-manager-as-a-browser-extension/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/maple-a-lightweight-keyboard-driven-bookmark-manager-as-a-browser-extension/</guid><description>Maple replaces the native bookmarks bar with a searchable popup triggered by keyboard shortcuts, saving screen space and enabling fast access without a backend.</description></item><item><title>Mapping the AI agent orchestration landscape with an awesome curated list</title><link>https://ramdi.fr/github-stars/mapping-the-ai-agent-orchestration-landscape-with-an-awesome-curated-list/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-ai-agent-orchestration-landscape-with-an-awesome-curated-list/</guid><description>A curated list catalogs 80+ AI coding agent orchestration tools, revealing a fragmented ecosystem around git worktree isolation, parallel execution, and multi-agent coordination.</description></item><item><title>Mapping the full attack surface of connected devices with awesome-connected-things-sec</title><link>https://ramdi.fr/github-stars/mapping-the-full-attack-surface-of-connected-devices-with-awesome-connected-things-sec/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-full-attack-surface-of-connected-devices-with-awesome-connected-things-sec/</guid><description>A curated knowledge base covering hardware and wireless attack surfaces of connected devices, essential for IoT security researchers and hardware hackers.</description></item><item><title>Mapping the LLM agent landscape with the awesome-llm-agents curated catalog</title><link>https://ramdi.fr/github-stars/mapping-the-llm-agent-landscape-with-the-awesome-llm-agents-curated-catalog/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-llm-agent-landscape-with-the-awesome-llm-agents-curated-catalog/</guid><description>A curated catalog of 20+ LLM agent frameworks and tools organized by agent type and capabilities. Understand architectural differences and trade-offs in LLM agent design.</description></item><item><title>Mapping the open-source AI stack with the awesome-opensource-ai curated list</title><link>https://ramdi.fr/github-stars/mapping-the-open-source-ai-stack-with-the-awesome-opensource-ai-curated-list/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-open-source-ai-stack-with-the-awesome-opensource-ai-curated-list/</guid><description>A curated directory cataloging over 200 production-ready open-source AI projects across the machine learning stack, from training frameworks to self-hosted UIs.</description></item><item><title>Mapping the self-hosting ecosystem: an in-depth look at Self-Hosting-Guide</title><link>https://ramdi.fr/github-stars/mapping-the-self-hosting-ecosystem-an-in-depth-look-at-self-hosting-guide/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-self-hosting-ecosystem-an-in-depth-look-at-self-hosting-guide/</guid><description>Self-Hosting-Guide aggregates tools and best practices for on-premises hosting, serving as a comprehensive map of containerization, orchestration, networking, and homelab infrastructure.</description></item><item><title>Matrix-3D: a practical pipeline for omnidirectional 3D world generation optimized for consumer GPUs</title><link>https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/</guid><description>Matrix-3D generates explorable 360-degree 3D worlds from text or images using panoramic video and 3D Gaussian splatting, optimized to run on 12-19GB VRAM consumer GPUs.</description></item><item><title>Mazer: a jQuery-free Bootstrap 5 admin template with modern tooling</title><link>https://ramdi.fr/github-stars/mazer-a-jquery-free-bootstrap-5-admin-template-with-modern-tooling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mazer-a-jquery-free-bootstrap-5-admin-template-with-modern-tooling/</guid><description>Mazer is a Bootstrap 5 admin template that drops jQuery for vanilla JS and Bootstrap&amp;rsquo;s native utilities, using Vite for builds and offering flexible deployment options.</description></item><item><title>mcp-searxng: bridging AI assistants with private SearXNG-powered web search</title><link>https://ramdi.fr/github-stars/mcp-searxng-bridging-ai-assistants-with-private-searxng-powered-web-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mcp-searxng-bridging-ai-assistants-with-private-searxng-powered-web-search/</guid><description>mcp-searxng is a Node.js MCP server proxy that connects AI assistants to self-hosted SearXNG search via JSON API, enabling private, paginated web search and URL content extraction.</description></item><item><title>MD-This-Page: a Chrome extension that turns web pages into clean Markdown for LLM workflows</title><link>https://ramdi.fr/github-stars/md-this-page-a-chrome-extension-that-turns-web-pages-into-clean-markdown-for-llm-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/md-this-page-a-chrome-extension-that-turns-web-pages-into-clean-markdown-for-llm-workflows/</guid><description>MD-This-Page converts any webpage into clean, LLM-ready Markdown using Mozilla Readability and Turndown. Built as a Plasmo React Chrome extension with export options.</description></item><item><title>MeanVC: real-time zero-shot voice conversion with mean flows and diffusion transformers</title><link>https://ramdi.fr/github-stars/meanvc-real-time-zero-shot-voice-conversion-with-mean-flows-and-diffusion-transformers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meanvc-real-time-zero-shot-voice-conversion-with-mean-flows-and-diffusion-transformers/</guid><description>MeanVC enables real-time zero-shot voice conversion using mean flows and diffusion transformers for single-step inference, addressing latency bottlenecks in diffusion models.</description></item><item><title>MediaLyze: incremental scanning for efficient self-hosted media library analysis</title><link>https://ramdi.fr/github-stars/medialyze-incremental-scanning-for-efficient-self-hosted-media-library-analysis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/medialyze-incremental-scanning-for-efficient-self-hosted-media-library-analysis/</guid><description>MediaLyze is a read-only, self-hosted media library analyzer using FastAPI and React. It features incremental scanning with path+size+mtime hashing to avoid redundant scans.</description></item><item><title>Memary: Recursive Knowledge Graph Memory for Autonomous AI Agents</title><link>https://ramdi.fr/github-stars/memary-recursive-knowledge-graph-memory-for-autonomous-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/memary-recursive-knowledge-graph-memory-for-autonomous-ai-agents/</guid><description>Memary is an open-source memory layer for AI agents using knowledge graphs and recursive retrieval to efficiently store and query agent memories. It supports multi-agent setups and integrates with LlamaIndex and OpenAI.</description></item><item><title>Memex: a local-first AI-native knowledge management app with custom multi-agent orchestration</title><link>https://ramdi.fr/github-stars/memex-a-local-first-ai-native-knowledge-management-app-with-custom-multi-agent-orchestration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/memex-a-local-first-ai-native-knowledge-management-app-with-custom-multi-agent-orchestration/</guid><description>Memex is a Flutter-based local-first personal knowledge app using multi-agent AI to organize and extract insights. It supports custom agents with event-driven triggers and 14+ LLM providers.</description></item><item><title>MeshCore-Cardputer-ADV: Custom TFT UI for LoRa Mesh Networking on ESP32-S3</title><link>https://ramdi.fr/github-stars/meshcore-cardputer-adv-custom-tft-ui-for-lora-mesh-networking-on-esp32-s3/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meshcore-cardputer-adv-custom-tft-ui-for-lora-mesh-networking-on-esp32-s3/</guid><description>MeshCore-Cardputer-ADV enhances M5Stack Cardputer-Adv firmware with a custom TFT UI over MeshCore&amp;rsquo;s LoRa mesh networking stack. Features include chat, GPS sharing, and Bluetooth config.</description></item><item><title>MeshingKit: fine-grained mesh gradient animations for SwiftUI</title><link>https://ramdi.fr/github-stars/meshingkit-fine-grained-mesh-gradient-animations-for-swiftui/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meshingkit-fine-grained-mesh-gradient-animations-for-swiftui/</guid><description>MeshingKit is a Swift framework for mesh gradient rendering in SwiftUI with per-point animation control, enabling custom organic motion across Apple platforms.</description></item><item><title>meta-ads-kit: automated AI-driven management of Meta Ads campaigns</title><link>https://ramdi.fr/github-stars/meta-ads-kit-automated-ai-driven-management-of-meta-ads-campaigns/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meta-ads-kit-automated-ai-driven-management-of-meta-ads-campaigns/</guid><description>meta-ads-kit automates Meta Ads workflows with an AI agent CLI tool, replacing manual dashboard work with AI-driven monitoring, fatigue detection, copy generation, and direct Graph API uploads.</description></item><item><title>Meta-Harness: evolving the scaffolding around large language models for optimized task performance</title><link>https://ramdi.fr/github-stars/meta-harness-evolving-the-scaffolding-around-large-language-models-for-optimized-task-performance/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meta-harness-evolving-the-scaffolding-around-large-language-models-for-optimized-task-performance/</guid><description>Meta-Harness from Stanford IRIS Lab automates the search for optimal harness configurations around LLMs, evolving memory, retrieval, and context systems for better task-specific performance.</description></item><item><title>mex: CLI tool for AI prompt and codebase synchronization</title><link>https://ramdi.fr/github-stars/mex-cli-tool-for-ai-prompt-and-codebase-synchronization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mex-cli-tool-for-ai-prompt-and-codebase-synchronization/</guid><description>mex is a TypeScript CLI that helps keep AI prompts in sync with your codebase by scanning your project and managing drift with simple commands.</description></item><item><title>mhabit: a cross-platform Flutter micro habit tracker with self-hosted WebDAV sync</title><link>https://ramdi.fr/github-stars/mhabit-a-cross-platform-flutter-micro-habit-tracker-with-self-hosted-webdav-sync/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mhabit-a-cross-platform-flutter-micro-habit-tracker-with-self-hosted-webdav-sync/</guid><description>mhabit is a Flutter/Dart app for micro habit tracking across 5 platforms, featuring WebDAV sync, Material3 dynamic theming, and JSON data export. A practical case study in cross-platform Flutter app development and independent data control.</description></item><item><title>MicroGPT-C: Coordinating tiny GPT-2 models in C for edge logical reasoning</title><link>https://ramdi.fr/github-stars/microgpt-c-coordinating-tiny-gpt-2-models-in-c-for-edge-logical-reasoning/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/microgpt-c-coordinating-tiny-gpt-2-models-in-c-for-edge-logical-reasoning/</guid><description>MicroGPT-C uses a deterministic C scaffold to coordinate tiny GPT-2 models, achieving 90%+ accuracy on logic games with 8x memory compression and infinite sequence lengths.</description></item><item><title>Minara Skills: Agent-Centric CLI for Multi-Chain DeFi Trading with Robust Safety</title><link>https://ramdi.fr/github-stars/minara-skills-agent-centric-cli-for-multi-chain-defi-trading-with-robust-safety/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/minara-skills-agent-centric-cli-for-multi-chain-defi-trading-with-robust-safety/</guid><description>Minara Skills routes natural language prompts from AI agents into CLI commands for multi-chain DeFi trading, passing 76 safety benchmarks with an 88/100 score. Explore its agent-centric skill architecture and multi-network support.</description></item><item><title>mini-tokyo-3d: real-time 3D visualization of Tokyo transit with Mapbox GL</title><link>https://ramdi.fr/github-stars/mini-tokyo-3d-real-time-3d-visualization-of-tokyo-transit-with-mapbox-gl/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mini-tokyo-3d-real-time-3d-visualization-of-tokyo-transit-with-mapbox-gl/</guid><description>Explore how mini-tokyo-3d renders Tokyo&amp;rsquo;s transit network in real-time 3D using live ODPT data and Mapbox GL, with a Node.js build pipeline and multi-language support.</description></item><item><title>MiniStack: Lightweight local AWS emulation with zero-config multi-tenancy</title><link>https://ramdi.fr/github-stars/ministack-lightweight-local-aws-emulation-with-zero-config-multi-tenancy/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ministack-lightweight-local-aws-emulation-with-zero-config-multi-tenancy/</guid><description>MiniStack offers 40+ AWS services emulated locally using real containers and a clever multi-tenancy model via AWS_ACCESS_KEY_ID, all on a single port with a tiny footprint.</description></item><item><title>MLE-Agent: Autonomous LLM agents for end-to-end ML workflow automation</title><link>https://ramdi.fr/github-stars/mle-agent-autonomous-llm-agents-for-end-to-end-ml-workflow-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mle-agent-autonomous-llm-agents-for-end-to-end-ml-workflow-automation/</guid><description>MLE-Agent is a Python LLM agent framework that automates ML workflows, including autonomous Kaggle competitions and smart debugging with human-in-the-loop. Supports multiple LLMs and local RAG.</description></item><item><title>MotionCrafter: unified 4D geometry and motion reconstruction from monocular video</title><link>https://ramdi.fr/github-stars/motioncrafter-unified-4d-geometry-and-motion-reconstruction-from-monocular-video/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/motioncrafter-unified-4d-geometry-and-motion-reconstruction-from-monocular-video/</guid><description>MotionCrafter jointly reconstructs 4D geometry and dense motion from monocular video using a unified 4D VAE, eliminating post-optimization. This Python framework offers training and visualization tools.</description></item><item><title>MultiWorld: a unified framework for multi-agent multi-view video world modeling</title><link>https://ramdi.fr/github-stars/multiworld-a-unified-framework-for-multi-agent-multi-view-video-world-modeling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/multiworld-a-unified-framework-for-multi-agent-multi-view-video-world-modeling/</guid><description>MultiWorld offers a unified framework for multi-agent multi-view video world modeling using a frozen VGGT backbone for implicit 3D understanding. It supports scalable multi-agent control and autoregressive inference.</description></item><item><title>Muxy: a native macOS terminal emulator with SwiftUI and libghostty integration</title><link>https://ramdi.fr/github-stars/muxy-a-native-macos-terminal-emulator-with-swiftui-and-libghostty-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/muxy-a-native-macos-terminal-emulator-with-swiftui-and-libghostty-integration/</guid><description>Muxy is a native macOS terminal emulator built with SwiftUI and libghostty, featuring project workspaces, split panes, and remote mobile pairing via companion iOS and Android apps.</description></item><item><title>Navigating the MLOps Maze: A Deep Dive into the Awesome Production Machine Learning Repository</title><link>https://ramdi.fr/github-stars/navigating-the-mlops-maze-a-deep-dive-into-the-awesome-production-machine-learning-repository/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-mlops-maze-a-deep-dive-into-the-awesome-production-machine-learning-repository/</guid><description>Explore the EthicalML awesome-production-machine-learning repo, a curated catalog of 200+ open source MLOps tools covering the full production ML lifecycle. Essential for ML engineers building production stacks.</description></item><item><title>Navigating the platform engineering landscape with the awesome-platform-engineering-tools curated list</title><link>https://ramdi.fr/github-stars/navigating-the-platform-engineering-landscape-with-the-awesome-platform-engineering-tools-curated-list/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-platform-engineering-landscape-with-the-awesome-platform-engineering-tools-curated-list/</guid><description>Explore a curated directory of platform engineering tools and resources, covering Kubernetes platforms, CI/CD, infrastructure automation, and platform team practices.</description></item><item><title>Nearby Glasses: heuristic detection of smart glasses using BLE manufacturer IDs on Android</title><link>https://ramdi.fr/github-stars/nearby-glasses-heuristic-detection-of-smart-glasses-using-ble-manufacturer-ids-on-android/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/nearby-glasses-heuristic-detection-of-smart-glasses-using-ble-manufacturer-ids-on-android/</guid><description>Nearby Glasses is a Kotlin Android app that detects smart glasses nearby by scanning BLE advertising frames for manufacturer company IDs. It uses RSSI to estimate proximity with configurable thresholds.</description></item><item><title>Neovide: A Rust-based GPU-accelerated GUI front end for Neovim</title><link>https://ramdi.fr/github-stars/neovide-a-rust-based-gpu-accelerated-gui-front-end-for-neovim/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/neovide-a-rust-based-gpu-accelerated-gui-front-end-for-neovim/</guid><description>Neovide is a Rust GUI client for Neovim, delivering smooth GPU-accelerated rendering by acting as a thin RPC client over Neovim&amp;rsquo;s msgpack API, maintaining full terminal parity.</description></item><item><title>news-please: a Python crawler for structured news extraction with Common Crawl support</title><link>https://ramdi.fr/github-stars/news-please-a-python-crawler-for-structured-news-extraction-with-common-crawl-support/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/news-please-a-python-crawler-for-structured-news-extraction-with-common-crawl-support/</guid><description>news-please is a Python tool built on Scrapy for crawling and extracting structured news data, supporting Common Crawl archives and multiple storage backends.</description></item><item><title>next-shadcn-admin-dashboard: scalable Next.js 16 admin dashboard with colocation architecture</title><link>https://ramdi.fr/github-stars/next-shadcn-admin-dashboard-scalable-next-js-16-admin-dashboard-with-colocation-architecture/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/next-shadcn-admin-dashboard-scalable-next-js-16-admin-dashboard-with-colocation-architecture/</guid><description>next-shadcn-admin-dashboard is a TypeScript Next.js 16 admin dashboard template emphasizing a colocation-based feature architecture, Tailwind CSS, and Shadcn UI components. It offers multiple themes and dashboard variants.</description></item><item><title>NomaiVR: Engineering a full 6DOF VR experience for Outer Wilds</title><link>https://ramdi.fr/github-stars/nomaivr-engineering-a-full-6dof-vr-experience-for-outer-wilds/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/nomaivr-engineering-a-full-6dof-vr-experience-for-outer-wilds/</guid><description>NomaiVR is a C# mod that transforms Outer Wilds into a 6DOF VR experience using OWML and SteamVR, overcoming platform quirks and performance challenges.</description></item><item><title>Notchprompt: a native macOS teleprompter with notch-adjacent overlay and privacy mode</title><link>https://ramdi.fr/github-stars/notchprompt-a-native-macos-teleprompter-with-notch-adjacent-overlay-and-privacy-mode/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/notchprompt-a-native-macos-teleprompter-with-notch-adjacent-overlay-and-privacy-mode/</guid><description>Notchprompt is a Swift macOS app that renders a floating teleprompter overlay next to the MacBook notch with privacy mode to hide from screen sharing. Here’s how it works under the hood.</description></item><item><title>Nuklear: a minimal immediate-mode GUI in C with a delicate macro-based implementation pattern</title><link>https://ramdi.fr/github-stars/nuklear-a-minimal-immediate-mode-gui-in-c-with-a-delicate-macro-based-implementation-pattern/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/nuklear-a-minimal-immediate-mode-gui-in-c-with-a-delicate-macro-based-implementation-pattern/</guid><description>Nuklear is a single-header immediate-mode GUI library in C89 with zero dependencies. Its unique macro-based implementation gating trades convenience for fragility, requiring careful flag management to avoid stack corruption.</description></item><item><title>NVIDIA open GPU kernel modules: a pragmatic architecture for Linux GPU drivers</title><link>https://ramdi.fr/github-stars/nvidia-open-gpu-kernel-modules-a-pragmatic-architecture-for-linux-gpu-drivers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/nvidia-open-gpu-kernel-modules-a-pragmatic-architecture-for-linux-gpu-drivers/</guid><description>NVIDIA&amp;rsquo;s open GPU kernel modules split driver code into pre-built OS-agnostic binaries and thin kernel interface layers, avoiding recompilation on Linux kernel updates. Here’s how it works.</description></item><item><title>OASIS: a Python CLI for AI-driven code vulnerability scanning with deterministic validation</title><link>https://ramdi.fr/github-stars/oasis-a-python-cli-for-ai-driven-code-vulnerability-scanning-with-deterministic-validation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/oasis-a-python-cli-for-ai-driven-code-vulnerability-scanning-with-deterministic-validation/</guid><description>OASIS is a Python CLI security auditor using LangGraph-orchestrated LLMs for two-phase scanning and deterministic validation of code vulnerabilities. It balances AI insights with guardrails to reduce false positives.</description></item><item><title>Obsidian-pm: a Markdown-based project management system inside Obsidian</title><link>https://ramdi.fr/github-stars/obsidian-pm-a-markdown-based-project-management-system-inside-obsidian/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/obsidian-pm-a-markdown-based-project-management-system-inside-obsidian/</guid><description>Obsidian-pm transforms your Obsidian vault into a project management system using Markdown and YAML, with views like Table, Gantt, and Kanban, all sync-agnostic and file-based.</description></item><item><title>octogent: a local orchestration layer for multi-agent workflows with claude code</title><link>https://ramdi.fr/github-stars/octogent-a-local-orchestration-layer-for-multi-agent-workflows-with-claude-code/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/octogent-a-local-orchestration-layer-for-multi-agent-workflows-with-claude-code/</guid><description>Octogent adds a local orchestration layer on Claude Code for multi-agent workflows using &amp;rsquo;tentacles&amp;rsquo; — scoped context directories that isolate work and enable inter-agent messaging.</description></item><item><title>ok-skills: a universal skill pack for AI coding agents</title><link>https://ramdi.fr/github-stars/ok-skills-a-universal-skill-pack-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ok-skills-a-universal-skill-pack-for-ai-coding-agents/</guid><description>ok-skills provides 38 reusable SKILL.md playbooks for AI coding agents like Claude Code and Cursor, standardizing cross-agent skill portability with AGENTS.md triggers.</description></item><item><title>Omni-Diffusion: unified any-to-any multimodal generation with masked discrete diffusion</title><link>https://ramdi.fr/github-stars/omni-diffusion-unified-any-to-any-multimodal-generation-with-masked-discrete-diffusion/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/omni-diffusion-unified-any-to-any-multimodal-generation-with-masked-discrete-diffusion/</guid><description>Omni-Diffusion models text, image, and speech tokens jointly via masked discrete diffusion, enabling any-to-any multimodal generation with a single unified model.</description></item><item><title>onnxmltools: a Python toolkit for converting ML models to ONNX format</title><link>https://ramdi.fr/github-stars/onnxmltools-a-python-toolkit-for-converting-ml-models-to-onnx-format/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/onnxmltools-a-python-toolkit-for-converting-ml-models-to-onnx-format/</guid><description>onnxmltools is a Python library for converting machine learning models from various frameworks into the ONNX format, enabling interoperability across runtimes and platforms.</description></item><item><title>Open Carrusel: a local AI-powered Instagram carousel builder with Claude Code subprocess</title><link>https://ramdi.fr/github-stars/open-carrusel-a-local-ai-powered-instagram-carousel-builder-with-claude-code-subprocess/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-carrusel-a-local-ai-powered-instagram-carousel-builder-with-claude-code-subprocess/</guid><description>Open Carrusel is a local-first Instagram carousel builder using Claude Code as an AI subprocess to generate HTML/CSS slides. It exports pixel-perfect PNGs via Puppeteer, all without cloud dependencies.</description></item><item><title>Open Computer Use: orchestrating multi-agent AI for real computer control with containerized VMs</title><link>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</guid><description>Open Computer Use enables AI agents to control real computers using specialized Browser, Terminal, and Desktop agents running in isolated Docker VMs. It achieves 82% on the OSWorld benchmark.</description></item><item><title>OpenClaw Auto-Dream: sleep-inspired memory consolidation for persistent AI agents</title><link>https://ramdi.fr/github-stars/openclaw-auto-dream-sleep-inspired-memory-consolidation-for-persistent-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-auto-dream-sleep-inspired-memory-consolidation-for-persistent-ai-agents/</guid><description>OpenClaw Auto-Dream implements a 5-layer memory model with importance scoring and forgetting curves to consolidate AI agent memories like human sleep. It enables persistent, evolving knowledge.</description></item><item><title>OpenClaw Client: a self-hosted multi-agent AI chat interface with streaming "thinking" separation</title><link>https://ramdi.fr/github-stars/openclaw-client-a-self-hosted-multi-agent-ai-chat-interface-with-streaming-thinking-separation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-client-a-self-hosted-multi-agent-ai-chat-interface-with-streaming-thinking-separation/</guid><description>OpenClaw Client offers a self-hosted web UI to manage OpenClaw AI agents with streaming response separation, file uploads to agent workspaces, JWT auth, and PWA install.</description></item><item><title>openclaw-mission-control: centralized monitoring for OpenClaw AI agents with a TypeScript dashboard</title><link>https://ramdi.fr/github-stars/openclaw-mission-control-centralized-monitoring-for-openclaw-ai-agents-with-a-typescript-dashboard/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-mission-control-centralized-monitoring-for-openclaw-ai-agents-with-a-typescript-dashboard/</guid><description>openclaw-mission-control is a TypeScript project offering a centralized dashboard to monitor and control OpenClaw AI agents. It hooks into OpenClaw to provide real-time visibility and management.</description></item><item><title>OpenContext: adding persistent context to coding agent CLIs for smarter AI workflows</title><link>https://ramdi.fr/github-stars/opencontext-adding-persistent-context-to-coding-agent-clis-for-smarter-ai-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opencontext-adding-persistent-context-to-coding-agent-clis-for-smarter-ai-workflows/</guid><description>OpenContext layers persistent project memory and Skills on top of coding agent CLIs (Cursor, Claude Code, Codex), enhancing AI coding assistants with zero subscription cost.</description></item><item><title>OpenCost: Kubernetes multi-cloud cost monitoring with AI agent integration</title><link>https://ramdi.fr/github-stars/opencost-kubernetes-multi-cloud-cost-monitoring-with-ai-agent-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opencost-kubernetes-multi-cloud-cost-monitoring-with-ai-agent-integration/</guid><description>OpenCost provides real-time Kubernetes cost allocation across multi-cloud environments, exposing data via MCP server for AI agents. Helm-only install on K8s 1.20+.</description></item><item><title>OpenEvolve: autonomous code discovery with MAP-Elites and LLM ensembles</title><link>https://ramdi.fr/github-stars/openevolve-autonomous-code-discovery-with-map-elites-and-llm-ensembles/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openevolve-autonomous-code-discovery-with-map-elites-and-llm-ensembles/</guid><description>OpenEvolve combines MAP-Elites evolutionary algorithms with LLMs to autonomously discover and optimize code, achieving 2-3x speedups and state-of-the-art results on real hardware.</description></item><item><title>OpenGame: generating playable web games from natural language with a dual-skill LLM framework</title><link>https://ramdi.fr/github-stars/opengame-generating-playable-web-games-from-natural-language-with-a-dual-skill-llm-framework/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opengame-generating-playable-web-games-from-natural-language-with-a-dual-skill-llm-framework/</guid><description>OpenGame from CUHK MMLab generates full web games from natural language prompts using a dual-skill LLM architecture that maintains cross-file consistency and integration fixes.</description></item><item><title>OpenKB: A persistent, vectorless wiki knowledge base powered by LLMs and PageIndex</title><link>https://ramdi.fr/github-stars/openkb-a-persistent-vectorless-wiki-knowledge-base-powered-by-llms-and-pageindex/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openkb-a-persistent-vectorless-wiki-knowledge-base-powered-by-llms-and-pageindex/</guid><description>OpenKB compiles documents into a persistent, interlinked wiki using LLMs and PageIndex&amp;rsquo;s vectorless retrieval, supporting multi-LLM backends and interactive chat with persisted sessions.</description></item><item><title>openpaw: a modular AI assistant framework with CLI-guided setup</title><link>https://ramdi.fr/github-stars/openpaw-a-modular-ai-assistant-framework-with-cli-guided-setup/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openpaw-a-modular-ai-assistant-framework-with-cli-guided-setup/</guid><description>openpaw is a TypeScript AI assistant framework that guides you through selecting skills and interfaces via a CLI wizard. It balances flexibility and ease of setup for developers.</description></item><item><title>OpenPose: real-time multi-person 2D pose estimation with constant-time body detection</title><link>https://ramdi.fr/github-stars/openpose-real-time-multi-person-2d-pose-estimation-with-constant-time-body-detection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openpose-real-time-multi-person-2d-pose-estimation-with-constant-time-body-detection/</guid><description>OpenPose is a C++ library for real-time multi-person 2D pose estimation using Part Affinity Fields, enabling constant inference time for body detection regardless of person count.</description></item><item><title>OpenPostings: self-hosted ATS aggregator with AI-driven job application automation</title><link>https://ramdi.fr/github-stars/openpostings-self-hosted-ats-aggregator-with-ai-driven-job-application-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openpostings-self-hosted-ats-aggregator-with-ai-driven-job-application-automation/</guid><description>OpenPostings aggregates 500k daily jobs from 60+ ATS providers into a local app with AI-powered application automation via an MCP apply-agent server.</description></item><item><title>Operationalizing classic software engineering wisdom for AI coding agents with agent-rules-books</title><link>https://ramdi.fr/github-stars/operationalizing-classic-software-engineering-wisdom-for-ai-coding-agents-with-agent-rules-books/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/operationalizing-classic-software-engineering-wisdom-for-ai-coding-agents-with-agent-rules-books/</guid><description>agent-rules-books converts classic software engineering book rules into context-budgeted Markdown sets for AI coding agents, balancing timeless principles with AI token limits.</description></item><item><title>opik-openclaw: bridging OpenClaw AI agents with Opik observability</title><link>https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/</guid><description>opik-openclaw plugs into OpenClaw to export detailed AI agent traces and usage data to Opik&amp;rsquo;s LLM observability platform, enabling deep insights into LLM calls and costs.</description></item><item><title>Optio: Kubernetes-based GitHub repo management with post-quantum TLS</title><link>https://ramdi.fr/github-stars/optio-kubernetes-based-github-repo-management-with-post-quantum-tls/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/optio-kubernetes-based-github-repo-management-with-post-quantum-tls/</guid><description>Explore Optio, a Kubernetes-deployed system integrating post-quantum TLS for secure GitHub repo management with API and web UI. Setup via Helm and Docker Desktop.</description></item><item><title>Orion: Direct access to Apple Neural Engine for on-device LLM training</title><link>https://ramdi.fr/github-stars/orion-direct-access-to-apple-neural-engine-for-on-device-llm-training/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/orion-direct-access-to-apple-neural-engine-for-on-device-llm-training/</guid><description>Orion bypasses CoreML to access Apple&amp;rsquo;s Neural Engine directly via private frameworks, enabling on-device inference and fine-tuning of small LLMs with 8.5x reduced training overhead.</description></item><item><title>Outworked: Visual multi-agent orchestration for Claude Code on macOS</title><link>https://ramdi.fr/github-stars/outworked-visual-multi-agent-orchestration-for-claude-code-on-macos/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/outworked-visual-multi-agent-orchestration-for-claude-code-on-macos/</guid><description>Outworked is a macOS app that turns Claude Code into a multi-agent system with visual orchestration, message bus communication, and plugin extensibility for AI workflows.</description></item><item><title>Packaging product management expertise as Claude Code skills with lenny-skills</title><link>https://ramdi.fr/github-stars/packaging-product-management-expertise-as-claude-code-skills-with-lenny-skills/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/packaging-product-management-expertise-as-claude-code-skills-with-lenny-skills/</guid><description>lenny-skills packages product management knowledge as markdown skills for Claude Code, enabling AI agents to apply frameworks from top product leaders. Install via npx skills CLI.</description></item><item><title>pad.ws: integrating collaborative whiteboards with cloud IDEs through FastAPI orchestration</title><link>https://ramdi.fr/github-stars/pad-ws-integrating-collaborative-whiteboards-with-cloud-ides-through-fastapi-orchestration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pad-ws-integrating-collaborative-whiteboards-with-cloud-ides-through-fastapi-orchestration/</guid><description>pad.ws merges Excalidraw&amp;rsquo;s whiteboard with Coder cloud IDEs in a FastAPI backend-driven platform. Self-hosting requires PostgreSQL, Redis, Keycloak, and manual setup.</description></item><item><title>PageLM: orchestrating multi-provider LLM workflows for interactive learning</title><link>https://ramdi.fr/github-stars/pagelm-orchestrating-multi-provider-llm-workflows-for-interactive-learning/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pagelm-orchestrating-multi-provider-llm-workflows-for-interactive-learning/</guid><description>PageLM is an open-source TypeScript platform orchestrating multi-LLM workflows to generate interactive educational content from documents with real-time streaming and multi-backend support.</description></item><item><title>PAI-OpenCode: modular multi-agent AI infrastructure with smart model routing</title><link>https://ramdi.fr/github-stars/pai-opencode-modular-multi-agent-ai-infrastructure-with-smart-model-routing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pai-opencode-modular-multi-agent-ai-infrastructure-with-smart-model-routing/</guid><description>PAI-OpenCode offers a modular AI infrastructure with 16 specialized agents and smart model routing across 75+ providers, optimizing performance and cost with a minimal 20KB core.</description></item><item><title>Paper2Agent: Automating the transformation of research paper codebases into interactive MCP servers</title><link>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</guid><description>Paper2Agent automates converting research paper codebases into interactive MCP servers for AI coding agents, handling tutorial extraction, tool generation, and test coverage with minimal human input.</description></item><item><title>paper2code: auditing ambiguity in ML paper code generation with citation-anchored implementations</title><link>https://ramdi.fr/github-stars/paper2code-auditing-ambiguity-in-ml-paper-code-generation-with-citation-anchored-implementations/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2code-auditing-ambiguity-in-ml-paper-code-generation-with-citation-anchored-implementations/</guid><description>paper2code transforms arxiv papers into Python code with ambiguity auditing and inline citations, prioritizing traceability over completeness in ML implementations.</description></item><item><title>Passmark: AI-driven browser regression testing with multi-model consensus and caching</title><link>https://ramdi.fr/github-stars/passmark-ai-driven-browser-regression-testing-with-multi-model-consensus-and-caching/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/passmark-ai-driven-browser-regression-testing-with-multi-model-consensus-and-caching/</guid><description>Passmark extends Playwright with AI-powered natural language E2E tests using multi-model consensus, Redis caching, and auto-healing for more stable browser automation.</description></item><item><title>PasteGuard: a local privacy proxy for masking sensitive data in LLM requests</title><link>https://ramdi.fr/github-stars/pasteguard-a-local-privacy-proxy-for-masking-sensitive-data-in-llm-requests/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pasteguard-a-local-privacy-proxy-for-masking-sensitive-data-in-llm-requests/</guid><description>PasteGuard intercepts API calls to OpenAI and Anthropic, masking over 30 types of sensitive data across 24 languages before reaching AI providers. Simple integration by changing base URL.</description></item><item><title>pdftochat: a cloud-integrated PDF-to-chat system with hybrid vector search</title><link>https://ramdi.fr/github-stars/pdftochat-a-cloud-integrated-pdf-to-chat-system-with-hybrid-vector-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pdftochat-a-cloud-integrated-pdf-to-chat-system-with-hybrid-vector-search/</guid><description>pdftochat is a TypeScript-based PDF-to-chat app leveraging Chroma Cloud for hybrid vector search and Together.ai for LLMs, integrating multiple cloud services for scalable document Q&amp;amp;A.</description></item><item><title>PEAR: real-time expressive 3D human mesh recovery at 100 FPS</title><link>https://ramdi.fr/github-stars/pear-real-time-expressive-3d-human-mesh-recovery-at-100-fps/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pear-real-time-expressive-3d-human-mesh-recovery-at-100-fps/</guid><description>PEAR predicts expressive 3D human mesh parameters for body, hands, and face simultaneously at 100 FPS using a pixel-aligned architecture based on PyTorch and SMPL-X models.</description></item><item><title>PeaZip: a native cross-platform archive manager built with Pascal</title><link>https://ramdi.fr/github-stars/peazip-a-native-cross-platform-archive-manager-built-with-pascal/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/peazip-a-native-cross-platform-archive-manager-built-with-pascal/</guid><description>PeaZip is a native, lightweight archive manager supporting 200+ formats across Windows, Linux, macOS, built with Lazarus/FreePascal. It avoids Electron overhead and integrates multiple compression libs.</description></item><item><title>Pentest Swarm AI: A stigmergic swarm intelligence approach to autonomous penetration testing</title><link>https://ramdi.fr/github-stars/pentest-swarm-ai-a-stigmergic-swarm-intelligence-approach-to-autonomous-penetration-testing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pentest-swarm-ai-a-stigmergic-swarm-intelligence-approach-to-autonomous-penetration-testing/</guid><description>Pentest Swarm AI uses stigmergic swarm intelligence via a pheromone-decaying blackboard for decentralized, emergent pentesting workflows integrating multiple tools and LLMs.</description></item><item><title>People-Search-OSINT: A curated UK-focused people search resource list for OSINT investigations</title><link>https://ramdi.fr/github-stars/people-search-osint-a-curated-uk-focused-people-search-resource-list-for-osint-investigations/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/people-search-osint-a-curated-uk-focused-people-search-resource-list-for-osint-investigations/</guid><description>People-Search-OSINT compiles UK-focused people search tools for OSINT, highlighting GDPR constraints and linking a privacy opt-out companion repo. A practical resource with ethical nuance.</description></item><item><title>Polypyus: binary-only firmware function matching for ARM Thumb2 reverse engineering</title><link>https://ramdi.fr/github-stars/polypyus-binary-only-firmware-function-matching-for-arm-thumb2-reverse-engineering/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/polypyus-binary-only-firmware-function-matching-for-arm-thumb2-reverse-engineering/</guid><description>Polypyus bypasses disassembler function detection using binary-only fuzzy matching to locate functions in raw ARM Thumb2 firmware, improving reverse engineering workflows.</description></item><item><title>Pomatez: a cross-platform Electron desktop app enforcing Pomodoro focus with strict timer controls</title><link>https://ramdi.fr/github-stars/pomatez-a-cross-platform-electron-desktop-app-enforcing-pomodoro-focus-with-strict-timer-controls/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pomatez-a-cross-platform-electron-desktop-app-enforcing-pomodoro-focus-with-strict-timer-controls/</guid><description>Pomatez is a TypeScript Electron app implementing the Pomodoro technique with strict mode and full-screen break enforcement, designed to prevent timer manipulation and maintain user focus.</description></item><item><title>PortPal: interactive cross-platform desktop port monitor with D3.js network visualization</title><link>https://ramdi.fr/github-stars/portpal-interactive-cross-platform-desktop-port-monitor-with-d3-js-network-visualization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/portpal-interactive-cross-platform-desktop-port-monitor-with-d3-js-network-visualization/</guid><description>PortPal is a Tauri-based desktop app that visualizes listening ports and network topology in real time with D3.js, replacing manual netstat workflows with interactive graphs and process controls.</description></item><item><title>Portr: a self-hosted SSH tunnel with built-in request inspection and logs</title><link>https://ramdi.fr/github-stars/portr-a-self-hosted-ssh-tunnel-with-built-in-request-inspection-and-logs/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/portr-a-self-hosted-ssh-tunnel-with-built-in-request-inspection-and-logs/</guid><description>Portr is a TypeScript-based self-hosted tunnel solution using SSH remote port forwarding. It offers local HTTP, TCP, and WebSocket exposure with a built-in inspector and persistent request logs.</description></item><item><title>PPT-as-code: structuring AI-powered presentation workflows with a dual-mode visual workbench</title><link>https://ramdi.fr/github-stars/ppt-as-code-structuring-ai-powered-presentation-workflows-with-a-dual-mode-visual-workbench/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ppt-as-code-structuring-ai-powered-presentation-workflows-with-a-dual-mode-visual-workbench/</guid><description>PPT-as-code structures presentation creation into staged AI-driven steps with a visual workbench that supports both deck-model and direct HTML editing. It balances pipeline rigor with visual flexibility.</description></item><item><title>PycoClaw: Running full OpenClaw AI agents on $5 ESP32 microcontrollers with MicroPython</title><link>https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/</guid><description>PycoClaw ports OpenClaw AI agents to MicroPython, enabling full conversational agents on $5 ESP32 chips with 8MB+ flash and 4MB+ PSRAM. It supports hybrid memory, subagents, cron, and multi-LLM compatibility.</description></item><item><title>pymobiledevice3: a pure Python iOS device communication stack</title><link>https://ramdi.fr/github-stars/pymobiledevice3-a-pure-python-ios-device-communication-stack/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pymobiledevice3-a-pure-python-ios-device-communication-stack/</guid><description>pymobiledevice3 reimplements the entire iOS device communication stack in pure Python, replacing C-based tools. It supports iOS 17+ tunnel transport and offers a CLI and Python API for device management.</description></item><item><title>QA-Use: AI-powered natural language E2E testing platform with autonomous browser agents</title><link>https://ramdi.fr/github-stars/qa-use-ai-powered-natural-language-e2e-testing-platform-with-autonomous-browser-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/qa-use-ai-powered-natural-language-e2e-testing-platform-with-autonomous-browser-agents/</guid><description>QA-Use enables natural-language E2E tests using AI agents that autonomously interact with web apps. Built with TypeScript, Docker, and PostgreSQL, it replaces brittle selectors with semantic understanding.</description></item><item><title>QuantDinger: a self-hosted AI-assisted quant trading platform with strong safety controls</title><link>https://ramdi.fr/github-stars/quantdinger-a-self-hosted-ai-assisted-quant-trading-platform-with-strong-safety-controls/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/quantdinger-a-self-hosted-ai-assisted-quant-trading-platform-with-strong-safety-controls/</guid><description>QuantDinger unifies AI-assisted research, Python strategy development, backtesting, and live trading in a self-hosted platform with scoped AI agent tokens and strict safety defaults.</description></item><item><title>QwenVoice: offline Apple Silicon text-to-speech with XPC isolation and model quantization tradeoffs</title><link>https://ramdi.fr/github-stars/qwenvoice-offline-apple-silicon-text-to-speech-with-xpc-isolation-and-model-quantization-tradeoffs/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/qwenvoice-offline-apple-silicon-text-to-speech-with-xpc-isolation-and-model-quantization-tradeoffs/</guid><description>QwenVoice runs Qwen3-TTS 1.7B offline on Apple Silicon using MLX with XPC isolation and supports voice cloning. It balances 8-bit quality and 4-bit speed models in a native macOS/iOS app.</description></item><item><title>rachoon: a modular document processing service with PDF conversion and PostgreSQL</title><link>https://ramdi.fr/github-stars/rachoon-a-modular-document-processing-service-with-pdf-conversion-and-postgresql/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rachoon-a-modular-document-processing-service-with-pdf-conversion-and-postgresql/</guid><description>rachoon is a TypeScript-based document processing service combining PostgreSQL and Gotenberg for PDF generation. It features modular containerized architecture with practical deployment.</description></item><item><title>Rapidhash: Instruction-Budgeted 64-bit Hash Functions for Diverse Deployment Contexts</title><link>https://ramdi.fr/github-stars/rapidhash-instruction-budgeted-64-bit-hash-functions-for-diverse-deployment-contexts/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rapidhash-instruction-budgeted-64-bit-hash-functions-for-diverse-deployment-contexts/</guid><description>Rapidhash offers three 64-bit hash variants optimized for general use, HPC, and embedded systems, balancing instruction count and performance without architecture-specific intrinsics.</description></item><item><title>Real-time path tracing in the browser with THREE.js-PathTracing-Renderer</title><link>https://ramdi.fr/github-stars/real-time-path-tracing-in-the-browser-with-three-js-pathtracing-renderer/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/real-time-path-tracing-in-the-browser-with-three-js-pathtracing-renderer/</guid><description>Explore how THREE.js-PathTracing-Renderer achieves real-time global illumination in browsers using BVH acceleration and hybrid ray tracing techniques. 30-60 FPS on complex scenes with billions of polygons.</description></item><item><title>Recreating the 3dfx Voodoo GPU in SpinalHDL for FPGA and cycle-accurate simulation</title><link>https://ramdi.fr/github-stars/recreating-the-3dfx-voodoo-gpu-in-spinalhdl-for-fpga-and-cycle-accurate-simulation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/recreating-the-3dfx-voodoo-gpu-in-spinalhdl-for-fpga-and-cycle-accurate-simulation/</guid><description>SpinalVoodoo rebuilds the classic 3dfx Voodoo Graphics GPU in SpinalHDL, targeting FPGA synthesis and cycle-accurate simulation with a focus on perspective-corrected texture mapping and fixed-point interpolation.</description></item><item><title>Resume Matcher: A provider-agnostic AI platform for tailored resumes using LiteLLM abstraction</title><link>https://ramdi.fr/github-stars/resume-matcher-a-provider-agnostic-ai-platform-for-tailored-resumes-using-litellm-abstraction/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/resume-matcher-a-provider-agnostic-ai-platform-for-tailored-resumes-using-litellm-abstraction/</guid><description>Resume Matcher uses LiteLLM to unify six LLM providers for AI-powered resume tailoring, with a FastAPI backend and Next.js frontend. It supports local and cloud deployments with PDF export.</description></item><item><title>roughViz: hand-drawn style charts with D3 and roughjs</title><link>https://ramdi.fr/github-stars/roughviz-hand-drawn-style-charts-with-d3-and-roughjs/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/roughviz-hand-drawn-style-charts-with-d3-and-roughjs/</guid><description>roughViz is a JavaScript library combining D3v5 and roughjs to create sketchy, hand-drawn style charts with aesthetic control and multi-framework support.</description></item><item><title>Running Stable Diffusion locally on Apple Silicon with Mochi Diffusion</title><link>https://ramdi.fr/github-stars/running-stable-diffusion-locally-on-apple-silicon-with-mochi-diffusion/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-stable-diffusion-locally-on-apple-silicon-with-mochi-diffusion/</guid><description>Mochi Diffusion runs Stable Diffusion and FLUX.2 Klein models locally on Apple Silicon Macs using Core ML, achieving ~150MB memory usage with fast inference, all offline.</description></item><item><title>Runtipi: Simplifying self-hosted Docker apps with an extensible app store</title><link>https://ramdi.fr/github-stars/runtipi-simplifying-self-hosted-docker-apps-with-an-extensible-app-store/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/runtipi-simplifying-self-hosted-docker-apps-with-an-extensible-app-store/</guid><description>Runtipi abstracts Docker Compose complexity into a one-click web app store for self-hosting multiple services. Built with TypeScript, NestJS, and React, it supports community app stores for extensibility.</description></item><item><title>rust-trade: a high-performance Rust-based quantitative crypto trading system with multi-level caching</title><link>https://ramdi.fr/github-stars/rust-trade-a-high-performance-rust-based-quantitative-crypto-trading-system-with-multi-level-caching/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rust-trade-a-high-performance-rust-based-quantitative-crypto-trading-system-with-multi-level-caching/</guid><description>rust-trade is a Rust quantitative crypto trading system combining real-time data collection, backtesting, and a Tauri desktop app. Its multi-level caching achieves ~390µs insert latency and ~13ms batch processing.</description></item><item><title>saasmail: a Cloudflare-native email sending and routing solution for SaaS</title><link>https://ramdi.fr/github-stars/saasmail-a-cloudflare-native-email-sending-and-routing-solution-for-saas/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/saasmail-a-cloudflare-native-email-sending-and-routing-solution-for-saas/</guid><description>saasmail leverages Cloudflare Workers and Email Routing to provide a SaaS-focused email sending and routing solution with automation via Claude Code skills.</description></item><item><title>SafestClaw: Combining simple AI setup with automated security scanning in Python</title><link>https://ramdi.fr/github-stars/safestclaw-combining-simple-ai-setup-with-automated-security-scanning-in-python/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/safestclaw-combining-simple-ai-setup-with-automated-security-scanning-in-python/</guid><description>SafestClaw offers a Python CLI tool that simplifies AI model configuration and automates security scanning across projects. It supports cloud and local AI models with zero YAML config editing.</description></item><item><title>Sampler: lightweight terminal telemetry with Go-powered sparklines</title><link>https://ramdi.fr/github-stars/sampler-lightweight-terminal-telemetry-with-go-powered-sparklines/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sampler-lightweight-terminal-telemetry-with-go-powered-sparklines/</guid><description>Sampler is a Go CLI tool for terminal telemetry, visualizing server metrics via sparklines from various data sources. Easy to install, minimal dependencies, extensible.</description></item><item><title>Scalene: A low-overhead Python profiler with AI-powered optimization suggestions</title><link>https://ramdi.fr/github-stars/scalene-a-low-overhead-python-profiler-with-ai-powered-optimization-suggestions/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/scalene-a-low-overhead-python-profiler-with-ai-powered-optimization-suggestions/</guid><description>Scalene is a Python profiler using statistical sampling for 10-20% overhead, offering line-level CPU/GPU/memory insights and AI-driven optimization tips via LLMs. Cross-platform with CLI and GUI.</description></item><item><title>ScaleTail: Per-Service Tailscale Sidecars for Secure Self-Hosting with Docker Compose</title><link>https://ramdi.fr/github-stars/scaletail-per-service-tailscale-sidecars-for-secure-self-hosting-with-docker-compose/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/scaletail-per-service-tailscale-sidecars-for-secure-self-hosting-with-docker-compose/</guid><description>ScaleTail uses Tailscale sidecars per service in Docker Compose to enable automatic HTTPS and zero-config networking for self-hosted apps without public DNS or port forwarding.</description></item><item><title>SciBlend: Integrating scientific data visualization directly into Blender</title><link>https://ramdi.fr/github-stars/sciblend-integrating-scientific-data-visualization-directly-into-blender/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sciblend-integrating-scientific-data-visualization-directly-into-blender/</guid><description>SciBlend is a Python add-on for Blender that imports scientific data formats and maps them to GPU shaders, enabling publication-quality visualizations within Blender&amp;rsquo;s rendering pipeline.</description></item><item><title>Scientific Agent Skills: Modular AI capabilities for complex scientific workflows</title><link>https://ramdi.fr/github-stars/scientific-agent-skills-modular-ai-capabilities-for-complex-scientific-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/scientific-agent-skills-modular-ai-capabilities-for-complex-scientific-workflows/</guid><description>Scientific Agent Skills extends AI coding agents with 135 domain-specific scientific skills, unifying database queries and multi-step workflows across bioinformatics, chemistry, and clinical research.</description></item><item><title>Self-hosted subscription management with local-first SQLite and multi-currency support</title><link>https://ramdi.fr/github-stars/self-hosted-subscription-management-with-local-first-sqlite-and-multi-currency-support/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/self-hosted-subscription-management-with-local-first-sqlite-and-multi-currency-support/</guid><description>Explore a self-hosted subscription manager built with React and Express using local-first SQLite, multi-currency tracking, and Docker deployment for privacy and control.</description></item><item><title>ShrikeLab HomeLab-PDU-V1: open-source USB-C power distribution for homelabs</title><link>https://ramdi.fr/github-stars/shrikelab-homelab-pdu-v1-open-source-usb-c-power-distribution-for-homelabs/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/shrikelab-homelab-pdu-v1-open-source-usb-c-power-distribution-for-homelabs/</guid><description>ShrikeLab HomeLab-PDU-V1 delivers stable, multi-port USB-C PD power for homelab racks with centralized power control and open hardware design.</description></item><item><title>SideImpactor: browser-based iOS IPA signing with WebUSB and WASM</title><link>https://ramdi.fr/github-stars/sideimpactor-browser-based-ios-ipa-signing-with-webusb-and-wasm/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sideimpactor-browser-based-ios-ipa-signing-with-webusb-and-wasm/</guid><description>SideImpactor ports iOS device communication and IPA signing into the browser using WebUSB and WASM, eliminating desktop sideloading apps. Learn how it works and how to try it.</description></item><item><title>Signal: an open-source AI sales intelligence platform with browser automation for enrichment</title><link>https://ramdi.fr/github-stars/signal-an-open-source-ai-sales-intelligence-platform-with-browser-automation-for-enrichment/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/signal-an-open-source-ai-sales-intelligence-platform-with-browser-automation-for-enrichment/</guid><description>Signal is an open-source AI sales intelligence platform that detects buying signals, enriches contacts via browser automation, and manages multi-step outreach. It uses Next.js, Supabase, and Anthropic Claude.</description></item><item><title>SimpleX Chat: identifier-less secure messaging with pairwise addresses and relay servers</title><link>https://ramdi.fr/github-stars/simplex-chat-identifier-less-secure-messaging-with-pairwise-addresses-and-relay-servers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/simplex-chat-identifier-less-secure-messaging-with-pairwise-addresses-and-relay-servers/</guid><description>SimpleX Chat implements a unique messaging protocol without user identifiers, using one-time invitation links and pairwise addresses with relay servers and client-side encryption.</description></item><item><title>SimScale: a scalable sim-real co-training pipeline for autonomous driving planners</title><link>https://ramdi.fr/github-stars/simscale-a-scalable-sim-real-co-training-pipeline-for-autonomous-driving-planners/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/simscale-a-scalable-sim-real-co-training-pipeline-for-autonomous-driving-planners/</guid><description>SimScale provides a sim-real co-training pipeline for autonomous driving planners, combining synthetic simulation data with real-world data to improve robustness and generalization across multiple planner types.</description></item><item><title>SkillForge: Efficient AI skill management for Claude Code and Codex</title><link>https://ramdi.fr/github-stars/skillforge-efficient-ai-skill-management-for-claude-code-and-codex/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillforge-efficient-ai-skill-management-for-claude-code-and-codex/</guid><description>SkillForge v5.1 reduces AI skill prompt size by 64% using context-efficient design and trigger-based routing in Claude Code and Codex environments.</description></item><item><title>SkillUI: Automating design system extraction into Claude Code skills</title><link>https://ramdi.fr/github-stars/skillui-automating-design-system-extraction-into-claude-code-skills/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillui-automating-design-system-extraction-into-claude-code-skills/</guid><description>SkillUI reverse-engineers design systems from URLs or repos into Claude Code skill packages using static and visual analysis, no AI required.</description></item><item><title>Sliver: a cryptographically unique adversary emulation framework with multi-protocol C2</title><link>https://ramdi.fr/github-stars/sliver-a-cryptographically-unique-adversary-emulation-framework-with-multi-protocol-c2/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sliver-a-cryptographically-unique-adversary-emulation-framework-with-multi-protocol-c2/</guid><description>Sliver uses compile-time asymmetric encryption keys to generate unique implant binaries and supports multiple C2 protocols for cross-platform adversary emulation. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>SmallClaw: a local-first AI agent framework with single-pass chat handling</title><link>https://ramdi.fr/github-stars/smallclaw-a-local-first-ai-agent-framework-with-single-pass-chat-handling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/smallclaw-a-local-first-ai-agent-framework-with-single-pass-chat-handling/</guid><description>SmallClaw is a TypeScript AI agent framework that uses a single LLM call for chat and tool invocation, designed for local models with a clean web UI and structured tools.</description></item><item><title>Smithereen: A Java-based ActivityPub server that rejects fediverse conventions for authentic social connections</title><link>https://ramdi.fr/github-stars/smithereen-a-java-based-activitypub-server-that-rejects-fediverse-conventions-for-authentic-social-connections/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/smithereen-a-java-based-activitypub-server-that-rejects-fediverse-conventions-for-authentic-social-connections/</guid><description>Smithereen is a self-hosted ActivityPub server in Java that rejects common fediverse features like hashtags and public feeds, focusing on authentic human connections. Learn about its architecture, philosophy, and quick install.</description></item><item><title>smux: a shell-driven multi-agent communication layer using tmux panes</title><link>https://ramdi.fr/github-stars/smux-a-shell-driven-multi-agent-communication-layer-using-tmux-panes/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/smux-a-shell-driven-multi-agent-communication-layer-using-tmux-panes/</guid><description>smux leverages tmux panes and a CLI bridge to enable AI agents to collaborate inside the terminal without APIs or shared state. Simple install, macOS/Linux compatible.</description></item><item><title>Snapframe: a React-based offline screenshot builder with JSON-driven AI workflows</title><link>https://ramdi.fr/github-stars/snapframe-a-react-based-offline-screenshot-builder-with-json-driven-ai-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/snapframe-a-react-based-offline-screenshot-builder-with-json-driven-ai-workflows/</guid><description>Snapframe is a local React app for building app store screenshots with device mockups, undo/redo, and a JSON editor enabling AI-assisted workflows. Offline-first, uses Zustand and html-to-image.</description></item><item><title>Snyk Agent Scan: interactive security scanning for AI agent components</title><link>https://ramdi.fr/github-stars/snyk-agent-scan-interactive-security-scanning-for-ai-agent-components/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/snyk-agent-scan-interactive-security-scanning-for-ai-agent-components/</guid><description>Snyk Agent Scan is a Python CLI tool detecting 15+ security risks in AI agent MCP servers and skills, using an interactive consent model for safe scanning.</description></item><item><title>SocialPredict: a self-hosted prediction market platform built in Go</title><link>https://ramdi.fr/github-stars/socialpredict-a-self-hosted-prediction-market-platform-built-in-go/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/socialpredict-a-self-hosted-prediction-market-platform-built-in-go/</guid><description>SocialPredict is a Go-based, open-source platform for self-hosting prediction markets. It offers deployable infrastructure for classrooms, organizations, and researchers, with a roadmap toward microservices and HPC analytics.</description></item><item><title>souls-directory: a curated Next.js directory for SOUL.md AI agent personalities</title><link>https://ramdi.fr/github-stars/souls-directory-a-curated-next-js-directory-for-soul-md-ai-agent-personalities/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/souls-directory-a-curated-next-js-directory-for-soul-md-ai-agent-personalities/</guid><description>souls-directory is a Next.js app hosting curated SOUL.md personality templates for OpenClaw AI agents, using Convex backend and GitHub OAuth. Explore its architecture and usage.</description></item><item><title>sre-agent: AI-powered incident diagnosis with integrated evaluation for production reliability</title><link>https://ramdi.fr/github-stars/sre-agent-ai-powered-incident-diagnosis-with-integrated-evaluation-for-production-reliability/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sre-agent-ai-powered-incident-diagnosis-with-integrated-evaluation-for-production-reliability/</guid><description>sre-agent is a Python AI tool that automates incident diagnosis by analyzing AWS CloudWatch logs, inspecting GitHub code, and reporting to Slack. It includes a unique evaluation suite for diagnosis quality.</description></item><item><title>sshpilot: a modern GTK4 SSH client with native GNOME integration and secure credential storage</title><link>https://ramdi.fr/github-stars/sshpilot-a-modern-gtk4-ssh-client-with-native-gnome-integration-and-secure-credential-storage/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sshpilot-a-modern-gtk4-ssh-client-with-native-gnome-integration-and-secure-credential-storage/</guid><description>sshpilot is a cross-platform SSH client built with Python and GTK4, replacing legacy tools with native GNOME integration, terminal emulation, and secure credential management.</description></item><item><title>Station: a Go runtime for multi-agent AI orchestration with MCP stdio bridging</title><link>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</guid><description>Station is an open-source Go runtime that orchestrates multi-agent AI systems on self-hosted infrastructure using a Git-backed workflow and MCP stdio bridging. It supports 41 AI tools and multiple AI providers.</description></item><item><title>Streaming 3D scene reconstruction with LingBot-Map’s geometric context transformer</title><link>https://ramdi.fr/github-stars/streaming-3d-scene-reconstruction-with-lingbot-maps-geometric-context-transformer/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/streaming-3d-scene-reconstruction-with-lingbot-maps-geometric-context-transformer/</guid><description>LingBot-Map performs streaming 3D reconstruction from long image sequences at ~20 FPS using a geometric context transformer and paged KV cache attention for efficient memory management.</description></item><item><title>Stride: a modular C# game engine for realistic rendering and VR on .NET 10.0</title><link>https://ramdi.fr/github-stars/stride-a-modular-c-game-engine-for-realistic-rendering-and-vr-on-net-10-0/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/stride-a-modular-c-game-engine-for-realistic-rendering-and-vr-on-net-10-0/</guid><description>Stride is an open-source C# game engine targeting realistic rendering and VR development on .NET 10.0 with a modular architecture and cross-platform support.</description></item><item><title>superseo-skills: automating SEO workflows with autonomous Claude Code skills</title><link>https://ramdi.fr/github-stars/superseo-skills-automating-seo-workflows-with-autonomous-claude-code-skills/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/superseo-skills-automating-seo-workflows-with-autonomous-claude-code-skills/</guid><description>superseo-skills offers 11 Claude Code skills that autonomously research and analyze SEO data, featuring an anti-AI-slop ruleset to ensure high-quality AI-generated content.</description></item><item><title>suzui-rs: a Rust TUI for Suzuki ECU diagnostics via Raspberry Pi composite video</title><link>https://ramdi.fr/github-stars/suzui-rs-a-rust-tui-for-suzuki-ecu-diagnostics-via-raspberry-pi-composite-video/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/suzui-rs-a-rust-tui-for-suzuki-ecu-diagnostics-via-raspberry-pi-composite-video/</guid><description>suzui-rs is a Rust terminal app reading Suzuki ECU data via SDL protocol, running on Raspberry Pi and outputting composite video to car stereo for real-time diagnostics.</description></item><item><title>tauri-terminal: combining Rust PTY access with xterm.js in a Tauri desktop terminal</title><link>https://ramdi.fr/github-stars/tauri-terminal-combining-rust-pty-access-with-xterm-js-in-a-tauri-desktop-terminal/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tauri-terminal-combining-rust-pty-access-with-xterm-js-in-a-tauri-desktop-terminal/</guid><description>tauri-terminal bridges Rust&amp;rsquo;s native PTY access with xterm.js terminal rendering inside Tauri, offering a minimal cross-platform terminal emulator as a practical example of Tauri desktop tooling.</description></item><item><title>text-to-cad: AI-driven parametric CAD with geometry-aware iterative editing</title><link>https://ramdi.fr/github-stars/text-to-cad-ai-driven-parametric-cad-with-geometry-aware-iterative-editing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/text-to-cad-ai-driven-parametric-cad-with-geometry-aware-iterative-editing/</guid><description>text-to-cad bridges AI coding agents with parametric CAD using a local-first architecture and a novel @cad reference system for geometry-aware iterative edits and multi-format export.</description></item><item><title>TextGen: a portable zero-config local LLM runner with multi-backend and multimodal support</title><link>https://ramdi.fr/github-stars/textgen-a-portable-zero-config-local-llm-runner-with-multi-backend-and-multimodal-support/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/textgen-a-portable-zero-config-local-llm-runner-with-multi-backend-and-multimodal-support/</guid><description>TextGen offers a portable desktop app for local LLMs with zero telemetry and multi-backend support. Drop GGUF models in a folder and run with no complex setup. It features multimodal vision, file attachments, and OpenAI-compatible API.</description></item><item><title>Thorn.nvim: a minimalist, eye-friendly Neovim theme with flexible Lua customization</title><link>https://ramdi.fr/github-stars/thorn-nvim-a-minimalist-eye-friendly-neovim-theme-with-flexible-lua-customization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/thorn-nvim-a-minimalist-eye-friendly-neovim-theme-with-flexible-lua-customization/</guid><description>Thorn.nvim is a minimalist Neovim theme focused on reducing visual noise and eye strain. It offers four color variants, plugin support, and a Lua API for granular highlight customization.</description></item><item><title>tmux-agent-sidebar: unified AI agent monitoring in tmux with Rust</title><link>https://ramdi.fr/github-stars/tmux-agent-sidebar-unified-ai-agent-monitoring-in-tmux-with-rust/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tmux-agent-sidebar-unified-ai-agent-monitoring-in-tmux-with-rust/</guid><description>tmux-agent-sidebar provides a Rust-based unified sidebar to monitor multiple AI coding agents across tmux sessions. It manages agent hooks, live metadata, and Git worktrees.</description></item><item><title>token-dashboard: zero-dependency local token analytics for Claude Code sessions</title><link>https://ramdi.fr/github-stars/token-dashboard-zero-dependency-local-token-analytics-for-claude-code-sessions/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/token-dashboard-zero-dependency-local-token-analytics-for-claude-code-sessions/</guid><description>token-dashboard is a Python CLI that parses Claude Code JSONL transcripts to serve a local web dashboard with accurate token cost analytics, using zero dependencies and live refresh.</description></item><item><title>Tolaria: a Tauri desktop app for managing markdown knowledge bases with AI agent integration</title><link>https://ramdi.fr/github-stars/tolaria-a-tauri-desktop-app-for-managing-markdown-knowledge-bases-with-ai-agent-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tolaria-a-tauri-desktop-app-for-managing-markdown-knowledge-bases-with-ai-agent-integration/</guid><description>Tolaria is a Tauri desktop app for managing markdown knowledge bases with git versioning and AI agent integration via a bundled MCP server. Supports 10,000+ notes offline.</description></item><item><title>TradeMaster: A rigorous reinforcement learning platform for quantitative trading research</title><link>https://ramdi.fr/github-stars/trademaster-a-rigorous-reinforcement-learning-platform-for-quantitative-trading-research/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/trademaster-a-rigorous-reinforcement-learning-platform-for-quantitative-trading-research/</guid><description>TradeMaster offers a full pipeline for RL-based quantitative trading with 13+ algorithms and a rigorous 6-axis, 17-measure evaluation framework across multiple asset classes and trading tasks.</description></item><item><title>trala: visualizing Traefik routers with AI-assisted development and icon auto-detection</title><link>https://ramdi.fr/github-stars/trala-visualizing-traefik-routers-with-ai-assisted-development-and-icon-auto-detection/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/trala-visualizing-traefik-routers-with-ai-assisted-development-and-icon-auto-detection/</guid><description>TraLa is a Go dashboard that auto-discovers Traefik HTTP routers, visualizes them with auto-detected icons, and was built with AI-assisted coding. Multi-arch Docker image, i18n, and manual entries included.</description></item><item><title>tribev2: pretrained models for predicting brain responses to videos</title><link>https://ramdi.fr/github-stars/tribev2-pretrained-models-for-predicting-brain-responses-to-videos/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tribev2-pretrained-models-for-predicting-brain-responses-to-videos/</guid><description>tribev2 offers pretrained models to predict brain responses to videos using cortical mesh modeling. Supports video, text, and audio inputs with easy inference setup.</description></item><item><title>TRIP: A minimalist, privacy-first self-hosted trip planner with easy Docker deployment</title><link>https://ramdi.fr/github-stars/trip-a-minimalist-privacy-first-self-hosted-trip-planner-with-easy-docker-deployment/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/trip-a-minimalist-privacy-first-self-hosted-trip-planner-with-easy-docker-deployment/</guid><description>TRIP is a self-hosted, minimalist points-of-interest map tracker and trip planner emphasizing privacy and simplicity. Deploy it easily with Docker Compose for no-telemetry travel planning.</description></item><item><title>tui-use: synchronizing AI agents with interactive terminal programs through PTY event streams</title><link>https://ramdi.fr/github-stars/tui-use-synchronizing-ai-agents-with-interactive-terminal-programs-through-pty-event-streams/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tui-use-synchronizing-ai-agents-with-interactive-terminal-programs-through-pty-event-streams/</guid><description>tui-use bridges AI agents and terminal apps by intercepting PTY output with a headless xterm emulator, enabling smart wait semantics for reliable interaction in CLI TUIs.</description></item><item><title>TypeScript trading engine for Polymarket binary prediction markets: trading without low-latency overhead</title><link>https://ramdi.fr/github-stars/typescript-trading-engine-for-polymarket-binary-prediction-markets-trading-without-low-latency-overhead/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/typescript-trading-engine-for-polymarket-binary-prediction-markets-trading-without-low-latency-overhead/</guid><description>A TypeScript-based trading engine for Polymarket&amp;rsquo;s binary prediction markets, designed for thin liquidity and offering built-in strategy backtesting and interactive analysis.</description></item><item><title>under the hood of nothing archive: archiving nothing os ota firmware with static site automation</title><link>https://ramdi.fr/github-stars/under-the-hood-of-nothing-archive-archiving-nothing-os-ota-firmware-with-static-site-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/under-the-hood-of-nothing-archive-archiving-nothing-os-ota-firmware-with-static-site-automation/</guid><description>Nothing Archive provides a static site hub for Nothing OS OTA firmware archiving, using automated OEM scraping, AOSP delta OTA extraction, and community-driven tooling.</description></item><item><title>Understanding LLM internals: a hands-on guide to transformers and attention math</title><link>https://ramdi.fr/github-stars/understanding-llm-internals-a-hands-on-guide-to-transformers-and-attention-math/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-llm-internals-a-hands-on-guide-to-transformers-and-attention-math/</guid><description>A curated repo breaking down large language model internals with numeric attention math, tokenization, and transformer architecture, targeting engineers who want to understand LLMs under the hood.</description></item><item><title>understanding-math: a curated knowledge base for mathematical literacy and notation</title><link>https://ramdi.fr/github-stars/understanding-math-a-curated-knowledge-base-for-mathematical-literacy-and-notation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-math-a-curated-knowledge-base-for-mathematical-literacy-and-notation/</guid><description>understanding-math is a curated repository aggregating resources on mathematical literacy, notation, and proof techniques, bridging math concepts with programming needs in ML and cryptography.</description></item><item><title>Unlocking hidden GitHub productivity with the github-cheat-sheet repository</title><link>https://ramdi.fr/github-stars/unlocking-hidden-github-productivity-with-the-github-cheat-sheet-repository/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/unlocking-hidden-github-productivity-with-the-github-cheat-sheet-repository/</guid><description>The github-cheat-sheet repo catalogs underused GitHub features like URL tricks, keyboard shortcuts, and commit automation to boost your workflow without extra tools.</description></item><item><title>Uptime Kita: Laravel-powered uptime monitoring with a cronless scheduler</title><link>https://ramdi.fr/github-stars/uptime-kita-laravel-powered-uptime-monitoring-with-a-cronless-scheduler/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/uptime-kita-laravel-powered-uptime-monitoring-with-a-cronless-scheduler/</guid><description>Uptime Kita is a Laravel 12-based uptime monitor featuring HTTP/HTTPS checks, real-time SSE alerts, and a unique cronless scheduler designed for containerized deployments.</description></item><item><title>Usage4Claude: a native macOS menu bar app for real-time Claude and Codex usage monitoring</title><link>https://ramdi.fr/github-stars/usage4claude-a-native-macos-menu-bar-app-for-real-time-claude-and-codex-usage-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/usage4claude-a-native-macos-menu-bar-app-for-real-time-claude-and-codex-usage-monitoring/</guid><description>Usage4Claude is a Swift macOS menu bar app that monitors Claude and Codex usage quotas in real time by scraping the usage endpoint via session cookies, with secure Keychain storage and multi-account support.</description></item><item><title>usecomputer: A native cross-platform CLI for AI-driven desktop automation with precise coordinate mapping</title><link>https://ramdi.fr/github-stars/usecomputer-a-native-cross-platform-cli-for-ai-driven-desktop-automation-with-precise-coordinate-mapping/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/usecomputer-a-native-cross-platform-cli-for-ai-driven-desktop-automation-with-precise-coordinate-mapping/</guid><description>usecomputer is a Zig-based native CLI for cross-platform desktop automation, solving coordinate mismatches via a coord-map system for AI agents working with downscaled screenshots.</description></item><item><title>VAM Seek: client-side 2D video timeline navigation with temporal RGB encoding</title><link>https://ramdi.fr/github-stars/vam-seek-client-side-2d-video-timeline-navigation-with-temporal-rgb-encoding/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/vam-seek-client-side-2d-video-timeline-navigation-with-temporal-rgb-encoding/</guid><description>VAM Seek replaces 1D video scrubbing with a client-side 2D thumbnail grid using Canvas API and an LRU cache. It features VAM-RGB temporal encoding for AI perception.</description></item><item><title>Viseron: a modular, self-hosted AI video surveillance platform</title><link>https://ramdi.fr/github-stars/viseron-a-modular-self-hosted-ai-video-surveillance-platform/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/viseron-a-modular-self-hosted-ai-video-surveillance-platform/</guid><description>Viseron is a self-hosted, local-only AI NVR platform in Python with modular AI features for privacy-focused video surveillance. Runs fully locally with Docker deployment.</description></item><item><title>vllm-mlx: Efficient LLM serving on Apple Silicon with SSD-tiered KV cache and continuous batching</title><link>https://ramdi.fr/github-stars/vllm-mlx-efficient-llm-serving-on-apple-silicon-with-ssd-tiered-kv-cache-and-continuous-batching/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/vllm-mlx-efficient-llm-serving-on-apple-silicon-with-ssd-tiered-kv-cache-and-continuous-batching/</guid><description>vllm-mlx is a Python inference server for Apple Silicon that supports OpenAI and Anthropic APIs, featuring SSD-tiered KV cache for long-context agents and continuous batching for performance.</description></item><item><title>Voice Satellite: local wake word detection in the browser for Home Assistant voice assistants</title><link>https://ramdi.fr/github-stars/voice-satellite-local-wake-word-detection-in-the-browser-for-home-assistant-voice-assistants/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/voice-satellite-local-wake-word-detection-in-the-browser-for-home-assistant-voice-assistants/</guid><description>Voice Satellite is a Home Assistant custom component that runs on-device wake word detection in the browser with microWakeWord in JS, enabling privacy-first voice assistants.</description></item><item><title>Waveshare Watch Rust firmware: efficient no_std embedded Rust for ESP32-S3 AMOLED smartwatch</title><link>https://ramdi.fr/github-stars/waveshare-watch-rust-firmware-efficient-no-std-embedded-rust-for-esp32-s3-amoled-smartwatch/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/waveshare-watch-rust-firmware-efficient-no-std-embedded-rust-for-esp32-s3-amoled-smartwatch/</guid><description>A no_std Rust firmware replacing C/C++ for the Waveshare ESP32-S3 AMOLED smartwatch, achieving &amp;gt;99% CPU sleep with async event-driven design and custom peripheral drivers.</description></item><item><title>WindowsAPIAbuseAtlas: A practical catalog of Windows API abuse techniques with YARA rules</title><link>https://ramdi.fr/github-stars/windowsapiabuseatlas-a-practical-catalog-of-windows-api-abuse-techniques-with-yara-rules/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/windowsapiabuseatlas-a-practical-catalog-of-windows-api-abuse-techniques-with-yara-rules/</guid><description>WindowsAPIAbuseAtlas catalogs Windows API abuse by malware with reverse engineering notes and YARA rules, aiding threat hunters and malware analysts in detection.</description></item><item><title>WriteHERE: dynamic recursive planning for AI-assisted long-form writing with real-time visualization</title><link>https://ramdi.fr/github-stars/writehere-dynamic-recursive-planning-for-ai-assisted-long-form-writing-with-real-time-visualization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/writehere-dynamic-recursive-planning-for-ai-assisted-long-form-writing-with-real-time-visualization/</guid><description>WriteHERE uses recursive task decomposition to dynamically break down and execute long-form AI writing tasks, with real-time visualization of the agent&amp;rsquo;s thought process. Supports GPT and Claude.</description></item><item><title>X-osint: a modular Python CLI framework orchestrating multiple OSINT APIs</title><link>https://ramdi.fr/github-stars/x-osint-a-modular-python-cli-framework-orchestrating-multiple-osint-apis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/x-osint-a-modular-python-cli-framework-orchestrating-multiple-osint-apis/</guid><description>X-osint is a Python CLI tool aggregating OSINT data from multiple external APIs with a modular menu-driven interface, designed for Termux, Linux, and macOS.</description></item><item><title>x509-certificate-exporter: scalable X.509 certificate monitoring for Kubernetes clusters</title><link>https://ramdi.fr/github-stars/x509-certificate-exporter-scalable-x-509-certificate-monitoring-for-kubernetes-clusters/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/x509-certificate-exporter-scalable-x-509-certificate-monitoring-for-kubernetes-clusters/</guid><description>x509-certificate-exporter uses Kubernetes informers to watch X.509 certificates at scale, avoiding polling overhead and integrating with Prometheus for alerting on renewal and expiration.</description></item><item><title>xURL: a unified CLI abstraction for multi-agent AI workflows with a custom URI scheme</title><link>https://ramdi.fr/github-stars/xurl-a-unified-cli-abstraction-for-multi-agent-ai-workflows-with-a-custom-uri-scheme/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/xurl-a-unified-cli-abstraction-for-multi-agent-ai-workflows-with-a-custom-uri-scheme/</guid><description>xURL offers a Rust-based CLI that unifies multiple AI agent CLIs under a single agents:// URI scheme, enabling consistent conversation management across providers.</description></item><item><title>youtube-tui: a lightweight Rust terminal interface for YouTube leveraging external tools</title><link>https://ramdi.fr/github-stars/youtube-tui-a-lightweight-rust-terminal-interface-for-youtube-leveraging-external-tools/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/youtube-tui-a-lightweight-rust-terminal-interface-for-youtube-leveraging-external-tools/</guid><description>youtube-tui is a Rust-based terminal interface for YouTube that delegates playback and downloading to external programs, favoring a lightweight launcher pattern with flexible YAML config and vim-like controls.</description></item><item><title>A hands-on guide to classical autonomous vehicle control algorithms in Python</title><link>https://ramdi.fr/github-stars/a-hands-on-guide-to-classical-autonomous-vehicle-control-algorithms-in-python/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-hands-on-guide-to-classical-autonomous-vehicle-control-algorithms-in-python/</guid><description>Explore a Python repo implementing classical autonomous vehicle algorithms as transparent simulations. Covers localization, mapping, planning, and path tracking with visualizations.</description></item><item><title>A practical taxonomy for large language model ensembles: Exploring the Awesome-LLM-Ensemble repository</title><link>https://ramdi.fr/github-stars/a-practical-taxonomy-for-large-language-model-ensembles-exploring-the-awesome-llm-ensemble-repository/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-practical-taxonomy-for-large-language-model-ensembles-exploring-the-awesome-llm-ensemble-repository/</guid><description>The Awesome-LLM-Ensemble repo catalogs research on combining multiple LLMs with a clear three-phase taxonomy: before, during, and after inference ensemble methods.</description></item><item><title>A Python bot for safe mean-reversion trading on Polymarket with triple-gate live trading safety</title><link>https://ramdi.fr/github-stars/a-python-bot-for-safe-mean-reversion-trading-on-polymarket-with-triple-gate-live-trading-safety/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-python-bot-for-safe-mean-reversion-trading-on-polymarket-with-triple-gate-live-trading-safety/</guid><description>An async Python bot automates a mean-reversion strategy on Polymarket&amp;rsquo;s non-sports binary markets. It features a triple-gate environment variable safety model that defaults to paper trading, minimizing accidental live trades.</description></item><item><title>A ranked directory of atomistic machine learning projects with a composite quality score</title><link>https://ramdi.fr/github-stars/a-ranked-directory-of-atomistic-machine-learning-projects-with-a-composite-quality-score/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-ranked-directory-of-atomistic-machine-learning-projects-with-a-composite-quality-score/</guid><description>Explore a curated, ranked list of 510 open-source atomistic machine learning projects scored by combined GitHub and package manager metrics — a model for scientific computing ecosystems.</description></item><item><title>Adaptive video perception for AI agents with claude-video-vision</title><link>https://ramdi.fr/github-stars/adaptive-video-perception-for-ai-agents-with-claude-video-vision/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/adaptive-video-perception-for-ai-agents-with-claude-video-vision/</guid><description>claude-video-vision adds adaptive video frame extraction and audio transcription to Claude Code, bridging natural language queries with dynamic ffmpeg processing. It supports multiple audio backends and runs on Node.js 20+.</description></item><item><title>AGNT: a local-first AI agent OS with self-evolving agent skills</title><link>https://ramdi.fr/github-stars/agnt-a-local-first-ai-agent-os-with-self-evolving-agent-skills/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/agnt-a-local-first-ai-agent-os-with-self-evolving-agent-skills/</guid><description>AGNT is a JavaScript-based local-first AI agent OS featuring a unique SkillForge system that evolves agent instructions from execution traces, supporting multi-agent workflows and plugin extensibility.</description></item><item><title>AI Knowledge Graph Generator: Building structured graphs from unstructured text with LLMs</title><link>https://ramdi.fr/github-stars/ai-knowledge-graph-generator-building-structured-graphs-from-unstructured-text-with-llms/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-knowledge-graph-generator-building-structured-graphs-from-unstructured-text-with-llms/</guid><description>A Python tool that converts unstructured text into interactive knowledge graphs using a three-phase LLM pipeline with SPO triplet extraction, entity standardization, and relationship inference.</description></item><item><title>ApplyPilot: autonomous AI-driven job application pipeline with modular architecture and advanced automation</title><link>https://ramdi.fr/github-stars/applypilot-autonomous-ai-driven-job-application-pipeline-with-modular-architecture-and-advanced-automation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/applypilot-autonomous-ai-driven-job-application-pipeline-with-modular-architecture-and-advanced-automation/</guid><description>ApplyPilot automates job applications using AI scoring, resume tailoring, and Playwright-driven form submissions across multiple job boards and portals. It features a modular, parallel pipeline and CAPTCHA handling.</description></item><item><title>Automating bank statement processing with YOLOv8, OCR, and LLMs for personal finance analysis</title><link>https://ramdi.fr/github-stars/automating-bank-statement-processing-with-yolov8-ocr-and-llms-for-personal-finance-analysis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-bank-statement-processing-with-yolov8-ocr-and-llms-for-personal-finance-analysis/</guid><description>Explore how a hybrid pipeline using YOLOv8 layout detection, OCR, and LLMs automates messy bank statement PDFs for personal finance analysis with RAG and AI agents.</description></item><item><title>Automating Facebook Marketplace searches with ai-marketplace-monitor</title><link>https://ramdi.fr/github-stars/automating-facebook-marketplace-searches-with-ai-marketplace-monitor/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-facebook-marketplace-searches-with-ai-marketplace-monitor/</guid><description>ai-marketplace-monitor automates Facebook Marketplace searches using Python and Playwright, enabling personalized item monitoring with notifications. Legal constraints limit its use to hobbyist scenarios.</description></item><item><title>Automating knowledge graph extraction from text with LangChain and GPT-4o</title><link>https://ramdi.fr/github-stars/automating-knowledge-graph-extraction-from-text-with-langchain-and-gpt-4o/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-knowledge-graph-extraction-from-text-with-langchain-and-gpt-4o/</guid><description>This repo uses LangChain&amp;rsquo;s experimental graph transformers with GPT-4o to extract and visualize knowledge graphs from unstructured text, offering a practical LLM-based information extraction pattern.</description></item><item><title>Automating professional SVG logo generation with a structured AI workflow</title><link>https://ramdi.fr/github-stars/automating-professional-svg-logo-generation-with-a-structured-ai-workflow/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-professional-svg-logo-generation-with-a-structured-ai-workflow/</guid><description>This Claude Code skill generates 6+ professional SVG logo variants through a 5-phase AI-driven workflow and produces high-quality showcases using Gemini 3.1. It blends design rigor with automation.</description></item><item><title>Avatar Forcing: real-time multimodal head avatar generation with diffusion forcing</title><link>https://ramdi.fr/github-stars/avatar-forcing-real-time-multimodal-head-avatar-generation-with-diffusion-forcing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/avatar-forcing-real-time-multimodal-head-avatar-generation-with-diffusion-forcing/</guid><description>Avatar Forcing implements diffusion forcing for causal, real-time multimodal input processing enabling expressive head avatars with ~500ms latency and 6.8X speedup over baselines.</description></item><item><title>awesome-android-root: a curated gateway to Android rooting tools and workflows</title><link>https://ramdi.fr/github-stars/awesome-android-root-a-curated-gateway-to-android-rooting-tools-and-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-android-root-a-curated-gateway-to-android-rooting-tools-and-workflows/</guid><description>awesome-android-root is a community-curated catalog of 470+ Android root apps, modules, and guides, detailing modern root methods and workflows including Magisk, KernelSU, and LSPosed.</description></item><item><title>awesome-engineering-team-management: a practical guide for engineers stepping into management</title><link>https://ramdi.fr/github-stars/awesome-engineering-team-management-a-practical-guide-for-engineers-stepping-into-management/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-engineering-team-management-a-practical-guide-for-engineers-stepping-into-management/</guid><description>Explore a curated repository offering practical insights and resources for software engineers transitioning into management roles, focusing on key delegation patterns and team dynamics.</description></item><item><title>awesome-os-setup: a unified cross-platform OS environment setup via YAML and package manager abstraction</title><link>https://ramdi.fr/github-stars/awesome-os-setup-a-unified-cross-platform-os-environment-setup-via-yaml-and-package-manager-abstraction/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-os-setup-a-unified-cross-platform-os-environment-setup-via-yaml-and-package-manager-abstraction/</guid><description>awesome-os-setup automates environment setup across Windows, Linux, macOS, and WSL2 using a YAML-driven package catalog and unified package manager abstraction. It simplifies multi-OS workflows.</description></item><item><title>Blackbox Node: offline AI assistant over LoRa mesh with local llama.cpp and ecash payments</title><link>https://ramdi.fr/github-stars/blackbox-node-offline-ai-assistant-over-lora-mesh-with-local-llama-cpp-and-ecash-payments/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/blackbox-node-offline-ai-assistant-over-lora-mesh-with-local-llama-cpp-and-ecash-payments/</guid><description>Blackbox Node runs a local llama.cpp LLM over a Meshtastic LoRa mesh, enabling offline AI queries and ecash payments via Cashu tokens in disconnected environments. Here&amp;rsquo;s how it works and how to start.</description></item><item><title>Blinko: an open-source, privacy-first AI note-taking app with RAG-powered local search</title><link>https://ramdi.fr/github-stars/blinko-an-open-source-privacy-first-ai-note-taking-app-with-rag-powered-local-search/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/blinko-an-open-source-privacy-first-ai-note-taking-app-with-rag-powered-local-search/</guid><description>Blinko is a self-hosted AI note-taking app using RAG for natural language search over local Markdown notes. Cross-platform, privacy-first, deployable via Docker one-liner.</description></item><item><title>BoxPwnr: benchmarking autonomous LLM agents on cybersecurity challenges with iterative command execution</title><link>https://ramdi.fr/github-stars/boxpwnr-benchmarking-autonomous-llm-agents-on-cybersecurity-challenges-with-iterative-command-execution/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/boxpwnr-benchmarking-autonomous-llm-agents-on-cybersecurity-challenges-with-iterative-command-execution/</guid><description>BoxPwnr benchmarks LLM-based autonomous agents on cybersecurity challenges using iterative command execution in a Kali Docker container, supporting 20+ LLM models and 13+ platforms.</description></item><item><title>Claude Code Projects Index: the agent workspace pattern for domain-specific Claude Code agents</title><link>https://ramdi.fr/github-stars/claude-code-projects-index-the-agent-workspace-pattern-for-domain-specific-claude-code-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-projects-index-the-agent-workspace-pattern-for-domain-specific-claude-code-agents/</guid><description>Claude Code Projects Index is an Astro-based curated index of 75+ Claude Code agent workspaces. It uses the agent workspace pattern to treat repos as self-contained Claude environments with domain-specific instructions and plugins.</description></item><item><title>claude-hub: autonomous AI-driven GitHub workflows with container isolation and webhook security</title><link>https://ramdi.fr/github-stars/claude-hub-autonomous-ai-driven-github-workflows-with-container-isolation-and-webhook-security/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-hub-autonomous-ai-driven-github-workflows-with-container-isolation-and-webhook-security/</guid><description>claude-hub bridges Claude Code with GitHub for autonomous AI development workflows, featuring container isolation, multi-auth support, and CI/CD monitoring via webhooks.</description></item><item><title>claude-memory-compiler: automating AI conversation memory compilation for Claude Code</title><link>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</guid><description>claude-memory-compiler automates capturing and compiling Claude Code conversations into a knowledge base, improving AI agent memory management with minimal setup.</description></item><item><title>claude-shorts: AI-driven pipeline for viral vertical video clips from long form content</title><link>https://ramdi.fr/github-stars/claude-shorts-ai-driven-pipeline-for-viral-vertical-video-clips-from-long-form-content/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-shorts-ai-driven-pipeline-for-viral-vertical-video-clips-from-long-form-content/</guid><description>claude-shorts uses AI scoring, GPU transcription, and adaptive video reframing to extract viral-ready vertical clips from long videos, optimizing cuts with audio-aware snapping and platform-specific encoding.</description></item><item><title>Claudish: A versatile TypeScript CLI proxy bridging Claude Code with 580+ AI models</title><link>https://ramdi.fr/github-stars/claudish-a-versatile-typescript-cli-proxy-bridging-claude-code-with-580-ai-models/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claudish-a-versatile-typescript-cli-proxy-bridging-claude-code-with-580-ai-models/</guid><description>Claudish is a TypeScript CLI proxy that lets Claude Code work with 580+ AI models via OpenRouter, direct APIs, and local inference, enabling multimodal capabilities through vision proxying.</description></item><item><title>Clawd Cursor: Unified cross-platform desktop control for AI agents</title><link>https://ramdi.fr/github-stars/clawd-cursor-unified-cross-platform-desktop-control-for-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawd-cursor-unified-cross-platform-desktop-control-for-ai-agents/</guid><description>Clawd Cursor offers AI agents native desktop control on Windows, macOS, and Linux with a unified PlatformAdapter and local-first architecture, enabling secure, model-agnostic automation without cloud round-trips.</description></item><item><title>CORAL: orchestrating autonomous AI coding agents with git worktree isolation and shared state</title><link>https://ramdi.fr/github-stars/coral-orchestrating-autonomous-ai-coding-agents-with-git-worktree-isolation-and-shared-state/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/coral-orchestrating-autonomous-ai-coding-agents-with-git-worktree-isolation-and-shared-state/</guid><description>CORAL uses git worktree branches combined with symlinked shared state to orchestrate multiple AI coding agents collaborating in real-time. This Python infrastructure supports iterative code improvement through evaluation loops.</description></item><item><title>ctrld: bridging legacy DNS to secure modern protocols with policy-driven routing in Go</title><link>https://ramdi.fr/github-stars/ctrld-bridging-legacy-dns-to-secure-modern-protocols-with-policy-driven-routing-in-go/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ctrld-bridging-legacy-dns-to-secure-modern-protocols-with-policy-driven-routing-in-go/</guid><description>ctrld is a Go-based DNS forwarding proxy bridging UDP 53 to secure protocols like DoH, DoT, DoQ with policy-driven routing and LAN client discovery. Multi-platform and configurable.</description></item><item><title>Cupid: feed-forward 3D reconstruction with joint camera pose estimation from single images</title><link>https://ramdi.fr/github-stars/cupid-feed-forward-3d-reconstruction-with-joint-camera-pose-estimation-from-single-images/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/cupid-feed-forward-3d-reconstruction-with-joint-camera-pose-estimation-from-single-images/</guid><description>Cupid is a feed-forward 3D reconstruction model that jointly estimates camera pose and reconstructs 3D objects from single 2D images, outputting textured 3D meshes and radiance fields in seconds.</description></item><item><title>Curating quality: a curated list of essential books for large language model engineers</title><link>https://ramdi.fr/github-stars/curating-quality-a-curated-list-of-essential-books-for-large-language-model-engineers/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/curating-quality-a-curated-list-of-essential-books-for-large-language-model-engineers/</guid><description>A curated list of 24 rigorously selected books on LLM engineering, covering foundational theory to production deployment. Highlights a unique 6-step quality filtering process.</description></item><item><title>CustomTkinterBuilder: A drag-and-drop RAD GUI builder for CustomTkinter with honest tradeoffs</title><link>https://ramdi.fr/github-stars/customtkinterbuilder-a-drag-and-drop-rad-gui-builder-for-customtkinter-with-honest-tradeoffs/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/customtkinterbuilder-a-drag-and-drop-rad-gui-builder-for-customtkinter-with-honest-tradeoffs/</guid><description>CustomTkinterBuilder is a Python RAD GUI builder for CustomTkinter, supporting drag-and-drop design, code export, and themes. Honest about performance limits and project dormancy.</description></item><item><title>Data Engineering Zoomcamp: A practical journey through modern data pipelines</title><link>https://ramdi.fr/github-stars/data-engineering-zoomcamp-a-practical-journey-through-modern-data-pipelines/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/data-engineering-zoomcamp-a-practical-journey-through-modern-data-pipelines/</guid><description>Data Engineering Zoomcamp offers a free, hands-on 9-week course covering Docker, Terraform, Kestra, BigQuery, dbt, Apache Spark, and Kafka. Learn production-ready data pipelines from infrastructure to analytics engineering.</description></item><item><title>DATAGEN: a LangGraph multi-agent framework for automated data analysis workflows</title><link>https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/datagen-a-langgraph-multi-agent-framework-for-automated-data-analysis-workflows/</guid><description>DATAGEN orchestrates eight specialized AI agents using LangGraph to automate data analysis workflows with progressive disclosure and multi-LLM provider support.</description></item><item><title>DeepChat: a unified Electron desktop platform for multi-LLM AI agents with ACP integration</title><link>https://ramdi.fr/github-stars/deepchat-a-unified-electron-desktop-platform-for-multi-llm-ai-agents-with-acp-integration/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepchat-a-unified-electron-desktop-platform-for-multi-llm-ai-agents-with-acp-integration/</guid><description>DeepChat is an Electron-based TypeScript desktop app unifying multi-LLM chat, MCP protocols, and ACP agent integration with remote control and Skills support.</description></item><item><title>deepseek_ocr_app: full-stack OCR with multi-format PDF export and real-time progress</title><link>https://ramdi.fr/github-stars/deepseek-ocr-app-full-stack-ocr-with-multi-format-pdf-export-and-real-time-progress/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepseek-ocr-app-full-stack-ocr-with-multi-format-pdf-export-and-real-time-progress/</guid><description>deepseek_ocr_app combines React and FastAPI to offer powerful OCR for images and multipage PDFs with exports to Markdown, HTML, DOCX, and JSON. It features real-time progress tracking and bounding box visualization.</description></item><item><title>DeskThing: repurposing Spotify's Car Thing into a customizable desktop assistant with a Chromium-based app ecosystem</title><link>https://ramdi.fr/github-stars/deskthing-repurposing-spotify-s-car-thing-into-a-customizable-desktop-assistant-with-a-chromium-based-app-ecosystem/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/deskthing-repurposing-spotify-s-car-thing-into-a-customizable-desktop-assistant-with-a-chromium-based-app-ecosystem/</guid><description>DeskThing transforms Spotify&amp;rsquo;s discontinued Car Thing hardware into a programmable desktop assistant using a Chromium-based UI and Node.js backend with a vibrant app ecosystem.</description></item><item><title>Digital: a Java event-driven logic simulator solving Logisim's stability issues</title><link>https://ramdi.fr/github-stars/digital-a-java-event-driven-logic-simulator-solving-logisim-s-stability-issues/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/digital-a-java-event-driven-logic-simulator-solving-logisim-s-stability-issues/</guid><description>Digital is a Java-based digital logic designer and circuit simulator with an event-driven engine and unique settling phase, fixing Logisim&amp;rsquo;s instability issues and supporting HDL and FPGA exports.</description></item><item><title>DocStrange: A versatile Python library for LLM-optimized document parsing with dual-mode processing</title><link>https://ramdi.fr/github-stars/docstrange-a-versatile-python-library-for-llm-optimized-document-parsing-with-dual-mode-processing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/docstrange-a-versatile-python-library-for-llm-optimized-document-parsing-with-dual-mode-processing/</guid><description>DocStrange converts PDFs, DOCX, PPTX, XLSX, images, and URLs into LLM-ready Markdown, JSON, HTML, and CSV. It offers free cloud and private local GPU modes for flexible, privacy-compliant document parsing.</description></item><item><title>drawio-skill: pure SKILL.md AI agent skill for professional draw.io diagrams with self-checking</title><link>https://ramdi.fr/github-stars/drawio-skill-pure-skill-md-ai-agent-skill-for-professional-draw-io-diagrams-with-self-checking/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/drawio-skill-pure-skill-md-ai-agent-skill-for-professional-draw-io-diagrams-with-self-checking/</guid><description>drawio-skill generates professional draw.io diagrams from natural language using pure SKILL.md with a unique self-check and iterative refinement loop across 6 agent platforms.</description></item><item><title>easy-ui: community-driven TypeScript web templates under MIT license</title><link>https://ramdi.fr/github-stars/easy-ui-community-driven-typescript-web-templates-under-mit-license/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/easy-ui-community-driven-typescript-web-templates-under-mit-license/</guid><description>easy-ui aggregates premium-quality TypeScript web templates under MIT license, competing with paid marketplaces via community contributions. It bundles standalone UI templates, not components.</description></item><item><title>Eclaire: a local-first AI assistant unifying your personal data with local LLMs</title><link>https://ramdi.fr/github-stars/eclaire-a-local-first-ai-assistant-unifying-your-personal-data-with-local-llms/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/eclaire-a-local-first-ai-assistant-unifying-your-personal-data-with-local-llms/</guid><description>Eclaire is a self-hosted AI assistant that unifies personal data with local LLM backends via an OpenAI-compatible API, emphasizing privacy and modular design.</description></item><item><title>egregore: persistent multi-agent collaboration with Claude Code hooks and git-based shared memory</title><link>https://ramdi.fr/github-stars/egregore-persistent-multi-agent-collaboration-with-claude-code-hooks-and-git-based-shared-memory/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/egregore-persistent-multi-agent-collaboration-with-claude-code-hooks-and-git-based-shared-memory/</guid><description>egregore uses Claude Code hooks and git-based shared memory to enable persistent, multi-agent collaboration without daemons or network calls. A shell script driven, version-controlled protocol.</description></item><item><title>ElatoAI: running real-time voice AI agents on $5 ESP32 microcontrollers via edge function streaming</title><link>https://ramdi.fr/github-stars/elatoai-running-real-time-voice-ai-agents-on-5-esp32-microcontrollers-via-edge-function-streaming/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/elatoai-running-real-time-voice-ai-agents-on-5-esp32-microcontrollers-via-edge-function-streaming/</guid><description>ElatoAI runs 100+ voice AI models on a $5 ESP32 with no PSRAM by streaming audio via secure WebSockets to edge functions. It supports sub-2s latency and long conversations.</description></item><item><title>electerm: an Electron-based multi-protocol terminal client with complex dev architecture</title><link>https://ramdi.fr/github-stars/electerm-an-electron-based-multi-protocol-terminal-client-with-complex-dev-architecture/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/electerm-an-electron-based-multi-protocol-terminal-client-with-complex-dev-architecture/</guid><description>electerm is a cross-platform Electron terminal client supporting SSH, SFTP, FTP, and more, notable for its dual-process dev setup and extensive protocol support.</description></item><item><title>epanet-js: running EPANET water modeling fully in the browser with native canvas rendering</title><link>https://ramdi.fr/github-stars/epanet-js-running-epanet-water-modeling-fully-in-the-browser-with-native-canvas-rendering/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/epanet-js-running-epanet-water-modeling-fully-in-the-browser-with-native-canvas-rendering/</guid><description>epanet-js ports the EPA&amp;rsquo;s EPANET water distribution modeling engine to a NextJS browser app using native canvas rendering and C/C++ toolchain dependencies. Here&amp;rsquo;s how it works and what to expect.</description></item><item><title>Exploring DeepMind's representations4d: advanced self-supervised video representations with moving latent tokens</title><link>https://ramdi.fr/github-stars/exploring-deepmind-s-representations4d-advanced-self-supervised-video-representations-with-moving-latent-tokens/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-deepmind-s-representations4d-advanced-self-supervised-video-representations-with-moving-latent-tokens/</guid><description>Google DeepMind&amp;rsquo;s representations4d bundles three self-supervised video learning approaches using transformers, including a novel object-centric tracking method with latent tokens moving off the pixel grid.</description></item><item><title>Exploring devanshutak25/3d-resources: an AI-curated catalog for 3D artists</title><link>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</guid><description>devanshutak25/3d-resources is a curated catalog of free and paid 3D assets and tools, assembled with AI assistance to support diverse 3D workflows across major DCCs like Blender and Unreal Engine.</description></item><item><title>fastapi-guard: fine-grained security middleware for FastAPI with composable per-route decorators</title><link>https://ramdi.fr/github-stars/fastapi-guard-fine-grained-security-middleware-for-fastapi-with-composable-per-route-decorators/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/fastapi-guard-fine-grained-security-middleware-for-fastapi-with-composable-per-route-decorators/</guid><description>fastapi-guard offers a composable security middleware for FastAPI with per-route decorators, IP filtering, rate limiting, and an optional cloud dashboard for monitoring.</description></item><item><title>Faved: A self-hosted bookmark manager with a hybrid TypeScript and PHP architecture</title><link>https://ramdi.fr/github-stars/faved-a-self-hosted-bookmark-manager-with-a-hybrid-typescript-and-php-architecture/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/faved-a-self-hosted-bookmark-manager-with-a-hybrid-typescript-and-php-architecture/</guid><description>Faved is a self-hosted bookmark manager with a React frontend and PHP 8 backend using SQLite. It offers nested tags, local storage, and a PWA for a native-like experience without external dependencies.</description></item><item><title>Financial Freedom: a privacy-first self-hosted personal finance app built with Vue</title><link>https://ramdi.fr/github-stars/financial-freedom-a-privacy-first-self-hosted-personal-finance-app-built-with-vue/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/financial-freedom-a-privacy-first-self-hosted-personal-finance-app-built-with-vue/</guid><description>Financial Freedom is an open source, self-hosted personal finance app focused on privacy, built with Vue. Its bootstrapped approach faces tough market economics against VC-backed competitors.</description></item><item><title>FinRL: open-source framework for financial reinforcement learning with a train-test-trade pipeline</title><link>https://ramdi.fr/github-stars/finrl-open-source-framework-for-financial-reinforcement-learning-with-a-train-test-trade-pipeline/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/finrl-open-source-framework-for-financial-reinforcement-learning-with-a-train-test-trade-pipeline/</guid><description>FinRL provides an open-source three-layer architecture for financial reinforcement learning with 5 DRL agents and 14+ data sources. Great for learning DRL in finance.</description></item><item><title>Flow-Like: a Rust-native workflow engine with 1000x performance over interpreted runtimes</title><link>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</guid><description>Flow-Like is a Rust-native workflow automation engine delivering ~244,000 workflows/sec at ~0.6ms latency—1000x faster than typical Node.js/Python engines. It supports 900+ nodes with type-safe contracts and local-first execution.</description></item><item><title>FlowKit: automating AI video generation with visual consistency via a Chrome extension bridge</title><link>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</guid><description>FlowKit automates AI video creation using Google Flow API with a unique reference image system ensuring visual consistency across scenes. It pairs a FastAPI backend with a Chrome extension bridge.</description></item><item><title>ForensiX: ML-powered forensic analysis of Chrome and Brave browser artifacts</title><link>https://ramdi.fr/github-stars/forensix-ml-powered-forensic-analysis-of-chrome-and-brave-browser-artifacts/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/forensix-ml-powered-forensic-analysis-of-chrome-and-brave-browser-artifacts/</guid><description>ForensiX combines ML-driven URL classification with browser artifact extraction for forensic analysis of Chrome and Brave data. Docker-based deployment included.</description></item><item><title>FSearch: a lightweight C-based instant file search tool for Linux desktops</title><link>https://ramdi.fr/github-stars/fsearch-a-lightweight-c-based-instant-file-search-tool-for-linux-desktops/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/fsearch-a-lightweight-c-based-instant-file-search-tool-for-linux-desktops/</guid><description>FSearch delivers instant file search on Linux using a pre-built indexed database. Written in C with GTK3, it balances performance and minimal dependencies for advanced users.</description></item><item><title>Glance: a minimal self-hosted dashboard with YAML-driven widgets and stateless caching</title><link>https://ramdi.fr/github-stars/glance-a-minimal-self-hosted-dashboard-with-yaml-driven-widgets-and-stateless-caching/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/glance-a-minimal-self-hosted-dashboard-with-yaml-driven-widgets-and-stateless-caching/</guid><description>Glance is a lightweight Go dashboard that aggregates feeds and server stats with YAML config, no database, and minimal JS. Ideal for homelab setups needing a simple, extensible info hub.</description></item><item><title>go-ethereum: the modular CLI backbone of the Ethereum execution layer</title><link>https://ramdi.fr/github-stars/go-ethereum-the-modular-cli-backbone-of-the-ethereum-execution-layer/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/go-ethereum-the-modular-cli-backbone-of-the-ethereum-execution-layer/</guid><description>Explore go-ethereum&amp;rsquo;s modular CLI tools that implement the Ethereum execution layer in Go. Understand its architecture, key components, and hardware requirements for running a full node.</description></item><item><title>go-interview-practice: a Go coding challenge platform with automated scoring and AI interview simulation</title><link>https://ramdi.fr/github-stars/go-interview-practice-a-go-coding-challenge-platform-with-automated-scoring-and-ai-interview-simulation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/go-interview-practice-a-go-coding-challenge-platform-with-automated-scoring-and-ai-interview-simulation/</guid><description>Explore go-interview-practice, a Go coding challenge platform with automated testing, performance analytics, and AI-powered interview simulation supporting popular Go packages.</description></item><item><title>gpt_image_2_skill: modular AI image generation prompts as an agent skill and CLI</title><link>https://ramdi.fr/github-stars/gpt-image-2-skill-modular-ai-image-generation-prompts-as-an-agent-skill-and-cli/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/gpt-image-2-skill-modular-ai-image-generation-prompts-as-an-agent-skill-and-cli/</guid><description>gpt_image_2_skill packages 162 curated image generation prompts as an AI agent skill and CLI, wrapping OpenAI&amp;rsquo;s image APIs with validation and budget control for natural-language invocation.</description></item><item><title>GrafeoDB: a high-performance Rust graph database supporting six query languages with a unified execution model</title><link>https://ramdi.fr/github-stars/grafeodb-a-high-performance-rust-graph-database-supporting-six-query-languages-with-a-unified-execution-model/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/grafeodb-a-high-performance-rust-graph-database-supporting-six-query-languages-with-a-unified-execution-model/</guid><description>GrafeoDB is a Rust-native graph database supporting LPG and RDF with six query languages. Its modular translator compiles all queries into a unified plan and delivers top-tier performance in benchmarks.</description></item><item><title>headless-terminal: programmatic control and synchronization of interactive TUIs in Go</title><link>https://ramdi.fr/github-stars/headless-terminal-programmatic-control-and-synchronization-of-interactive-tuis-in-go/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/headless-terminal-programmatic-control-and-synchronization-of-interactive-tuis-in-go/</guid><description>headless-terminal is a Go CLI tool that runs a Unix-socket daemon for controlling TUIs like vim and htop, solving synchronization and VT parsing challenges with libghostty-vt.</description></item><item><title>HGM: Practical Self-Improving AI Agents with Clade-Based Code Evolution</title><link>https://ramdi.fr/github-stars/hgm-practical-self-improving-ai-agents-with-clade-based-code-evolution/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/hgm-practical-self-improving-ai-agents-with-clade-based-code-evolution/</guid><description>HGM implements a Gödel Machine approximation that iteratively rewrites its own code using subtree promise estimates, balancing exploration and exploitation in self-improving AI agents.</description></item><item><title>HiFidelity: native macOS audiophile player with bit-perfect Hog mode playback</title><link>https://ramdi.fr/github-stars/hifidelity-native-macos-audiophile-player-with-bit-perfect-hog-mode-playback/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/hifidelity-native-macos-audiophile-player-with-bit-perfect-hog-mode-playback/</guid><description>HiFidelity is a native macOS audiophile music player focusing on bit-perfect playback via Hog mode, supporting lossless and hi-res formats with offline library management.</description></item><item><title>HomeGallery: a self-hosted Node.js photo gallery with client-side metadata and AI discovery</title><link>https://ramdi.fr/github-stars/homegallery-a-self-hosted-node-js-photo-gallery-with-client-side-metadata-and-ai-discovery/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/homegallery-a-self-hosted-node-js-photo-gallery-with-client-side-metadata-and-ai-discovery/</guid><description>HomeGallery is a self-hosted Node.js web gallery that loads all media metadata client-side as compressed JSON for fast browsing. It features AI image discovery and supports 400k+ files.</description></item><item><title>Homelab Dashboard: A dual-platform native mobile app for unified self-hosted service monitoring</title><link>https://ramdi.fr/github-stars/homelab-dashboard-a-dual-platform-native-mobile-app-for-unified-self-hosted-service-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/homelab-dashboard-a-dual-platform-native-mobile-app-for-unified-self-hosted-service-monitoring/</guid><description>Homelab Dashboard is a native iOS/Android app consolidating 33 self-hosted services into one interface using SwiftUI and Jetpack Compose. It supports multi-instance management, encrypted backups, and biometric unlock.</description></item><item><title>How awesome-design-skills structures AI-driven design consistency with SKILL.md patterns</title><link>https://ramdi.fr/github-stars/how-awesome-design-skills-structures-ai-driven-design-consistency-with-skill-md-patterns/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-awesome-design-skills-structures-ai-driven-design-consistency-with-skill-md-patterns/</guid><description>awesome-design-skills offers a registry of structured design system files that constrain AI UI code generation for consistent, accessible results using TypeUI CLI.</description></item><item><title>How Claude Code's Apple Skills System Streamlines Swift Development with File-Based AI Prompts</title><link>https://ramdi.fr/github-stars/how-claude-code-s-apple-skills-system-streamlines-swift-development-with-file-based-ai-prompts/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-claude-code-s-apple-skills-system-streamlines-swift-development-with-file-based-ai-prompts/</guid><description>Explore Claude Code&amp;rsquo;s 149 modular prompt skills that enhance Swift app development across Apple platforms without runtime dependencies. Learn its architecture, usage, and tradeoffs.</description></item><item><title>How Mattermost packages enterprise collaboration with a unified Go + React binary and rich plugin system</title><link>https://ramdi.fr/github-stars/how-mattermost-packages-enterprise-collaboration-with-a-unified-go-react-binary-and-rich-plugin-system/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-mattermost-packages-enterprise-collaboration-with-a-unified-go-react-binary-and-rich-plugin-system/</guid><description>Mattermost combines a Go backend and React frontend into a single binary for self-hosted enterprise collaboration. It supports rich plugins, extensive deployment options, and monthly MIT-licensed releases.</description></item><item><title>How Open PDF Studio builds a professional PDF editor with Rust and Tauri 2</title><link>https://ramdi.fr/github-stars/how-open-pdf-studio-builds-a-professional-pdf-editor-with-rust-and-tauri-2/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-open-pdf-studio-builds-a-professional-pdf-editor-with-rust-and-tauri-2/</guid><description>Open PDF Studio is a cross-platform PDF editor using Rust backend and Tauri 2 with PDF.js rendering. It offers 20+ annotation tools, form support, and multi-platform installs under LGPL-3.0.</description></item><item><title>How OpenClaw Medical Skills modularizes Claude agents for medical AI research</title><link>https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/</guid><description>OpenClaw Medical Skills offers 869 modular AI agent skills to transform Claude agents into specialized medical research assistants. Explore its architecture, strengths, and installation.</description></item><item><title>How umbrelOS simplifies self-hosting with a modular app framework</title><link>https://ramdi.fr/github-stars/how-umbrelos-simplifies-self-hosting-with-a-modular-app-framework/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-umbrelos-simplifies-self-hosting-with-a-modular-app-framework/</guid><description>umbrelOS offers a TypeScript home server OS with a polished UI and 300+ apps, abstracting complex container management for easy self-hosting on diverse hardware.</description></item><item><title>HyperHDR: floating-point color pipeline for low-latency ambient lighting</title><link>https://ramdi.fr/github-stars/hyperhdr-floating-point-color-pipeline-for-low-latency-ambient-lighting/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/hyperhdr-floating-point-color-pipeline-for-low-latency-ambient-lighting/</guid><description>HyperHDR offers a high-performance ambient lighting system with a floating-point color engine, hardware-accelerated capture, and ultra-low latency LED control optimized for Raspberry Pi and embedded platforms.</description></item><item><title>ImHex: A C++ hex editor with a custom pattern language for binary reverse engineering</title><link>https://ramdi.fr/github-stars/imhex-a-c-hex-editor-with-a-custom-pattern-language-for-binary-reverse-engineering/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/imhex-a-c-hex-editor-with-a-custom-pattern-language-for-binary-reverse-engineering/</guid><description>ImHex offers a custom C++-like pattern language for declarative binary parsing, multi-architecture disassembly, and GPU-accelerated hex editing, tailored for reverse engineering.</description></item><item><title>In-Place TTT: Adaptive test-time training for transformer LLMs with in-place fast-weight updates</title><link>https://ramdi.fr/github-stars/in-place-ttt-adaptive-test-time-training-for-transformer-llms-with-in-place-fast-weight-updates/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/in-place-ttt-adaptive-test-time-training-for-transformer-llms-with-in-place-fast-weight-updates/</guid><description>ByteDance&amp;rsquo;s In-Place TTT enables adaptive transformer inference by updating MLP down-projection weights in-place at test time, supporting long-context reasoning without extra modules.</description></item><item><title>Inside AG2 Studio: A practical UI for AI agent prototyping with FastAPI and Next.js</title><link>https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ag2-studio-a-practical-ui-for-ai-agent-prototyping-with-fastapi-and-next-js/</guid><description>AG2 Studio offers a FastAPI + Next.js UI for prototyping multi-agent AI workflows on the AG2 framework. It supports multiple LLMs and skill composition but is a reference, not production-ready.</description></item><item><title>Inside Asimov v1: an open-source humanoid robot with dual-compute control and MuJoCo simulation</title><link>https://ramdi.fr/github-stars/inside-asimov-v1-an-open-source-humanoid-robot-with-dual-compute-control-and-mujoco-simulation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-asimov-v1-an-open-source-humanoid-robot-with-dual-compute-control-and-mujoco-simulation/</guid><description>Asimov v1 is an open-source 1.2m humanoid robot with dual-compute architecture and MuJoCo simulation. Explore its hardware design, CAN bus system, and simulation model for robotics development.</description></item><item><title>Inside claude-code-writer: building a multi-platform AI content pipeline with Claude Code agents</title><link>https://ramdi.fr/github-stars/inside-claude-code-writer-building-a-multi-platform-ai-content-pipeline-with-claude-code-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-claude-code-writer-building-a-multi-platform-ai-content-pipeline-with-claude-code-agents/</guid><description>claude-code-writer uses Claude Code slash commands and specialized agents to automate content creation from raw ideas to platform-specific formats, maintaining voice consistency across LinkedIn, newsletters, Twitter, and podcasts.</description></item><item><title>Inside DJI's RoboMaster-SDK: A C Library for Educational Robot Control</title><link>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</guid><description>DJI&amp;rsquo;s RoboMaster-SDK is a C library providing hardware abstraction for the RoboMaster EP educational robot, enabling motor and sensor control via a minimal API.</description></item><item><title>Inside llm-madness: a lightweight GPT transformer training pipeline with built-in visualization</title><link>https://ramdi.fr/github-stars/inside-llm-madness-a-lightweight-gpt-transformer-training-pipeline-with-built-in-visualization/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-llm-madness-a-lightweight-gpt-transformer-training-pipeline-with-built-in-visualization/</guid><description>llm-madness offers a Python-built GPT-style transformer training pipeline with tokenizer training, memory-mapped datasets, and a unique web UI for per-layer attention inspection and loss visualization.</description></item><item><title>Inside LTX Video Generator for Mac: Bridging SwiftUI with Python for local AI video generation</title><link>https://ramdi.fr/github-stars/inside-ltx-video-generator-for-mac-bridging-swiftui-with-python-for-local-ai-video-generation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ltx-video-generator-for-mac-bridging-swiftui-with-python-for-local-ai-video-generation/</guid><description>LTX Video Generator for Mac runs complex AI video generation entirely on Apple Silicon by bridging native SwiftUI with a Python subprocess. It manages large models, audio-video sync, and long tasks locally.</description></item><item><title>Inside Mandiant's FLARE Learning Hub: A practical Go reverse engineering reference and malware analysis training platform</title><link>https://ramdi.fr/github-stars/inside-mandiant-s-flare-learning-hub-a-practical-go-reverse-engineering-reference-and-malware-analysis-training-platform/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-mandiant-s-flare-learning-hub-a-practical-go-reverse-engineering-reference-and-malware-analysis-training-platform/</guid><description>Explore Mandiant&amp;rsquo;s FLARE Learning Hub, an open educational platform for malware analysis and reverse engineering with a standout Go reverse engineering reference targeting Windows AMD64.</description></item><item><title>Inside the Huly Platform: Scaling a TypeScript monorepo with Rush and Docker</title><link>https://ramdi.fr/github-stars/inside-the-huly-platform-scaling-a-typescript-monorepo-with-rush-and-docker/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-huly-platform-scaling-a-typescript-monorepo-with-rush-and-docker/</guid><description>Huly Platform is a TypeScript monorepo powering a multi-app project management suite with a Rush-managed build pipeline and Docker Compose infrastructure. This article explores its architecture and dev setup.</description></item><item><title>Inside the iOS-Hardening-Guide: Practical security for Apple devices</title><link>https://ramdi.fr/github-stars/inside-the-ios-hardening-guide-practical-security-for-apple-devices/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-ios-hardening-guide-practical-security-for-apple-devices/</guid><description>A deep dive into the iOS-Hardening-Guide repo, covering hardware exploits like checkm8, Apple&amp;rsquo;s mitigations, and practical operational security for iOS/iPadOS users.</description></item><item><title>Inside ToddlerBot: an open-source Python platform for multi-skill humanoid locomotion with depth-based skill classification</title><link>https://ramdi.fr/github-stars/inside-toddlerbot-an-open-source-python-platform-for-multi-skill-humanoid-locomotion-with-depth-based-skill-classification/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-toddlerbot-an-open-source-python-platform-for-multi-skill-humanoid-locomotion-with-depth-based-skill-classification/</guid><description>ToddlerBot offers a full Python stack for training, classifying, and deploying multi-skill humanoid locomotion policies using stereo depth data and reinforcement learning.</description></item><item><title>ipsw: AI-assisted reverse engineering and firmware analysis for iOS/macOS in Go</title><link>https://ramdi.fr/github-stars/ipsw-ai-assisted-reverse-engineering-and-firmware-analysis-for-ios-macos-in-go/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ipsw-ai-assisted-reverse-engineering-and-firmware-analysis-for-ios-macos-in-go/</guid><description>Explore ipsw, a Go CLI tool for iOS/macOS firmware research featuring Mach-O analysis and AI-powered decompilation with Claude, OpenAI, and Gemini integrations.</description></item><item><title>Kame32: A Minimalist C++ Robotics Project with Room to Grow</title><link>https://ramdi.fr/github-stars/kame32-a-minimalist-c-robotics-project-with-room-to-grow/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/kame32-a-minimalist-c-robotics-project-with-room-to-grow/</guid><description>Kame32 is a C++ robotics repo targeting embedded real-time control on 32-bit microcontrollers. Its sparse docs highlight a common open-source gap in embedded robotics: solid code, limited onboarding.</description></item><item><title>Kerberos Agent: a Go-based single-agent video surveillance system with edge deployment</title><link>https://ramdi.fr/github-stars/kerberos-agent-a-go-based-single-agent-video-surveillance-system-with-edge-deployment/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/kerberos-agent-a-go-based-single-agent-video-surveillance-system-with-edge-deployment/</guid><description>Kerberos Agent uses a single-agent-per-camera design in Go for scalable, encrypted video surveillance on diverse edge hardware. Easy Docker quickstart included.</description></item><item><title>LangAlpha: AI agents using programmatic Python execution for financial research</title><link>https://ramdi.fr/github-stars/langalpha-ai-agents-using-programmatic-python-execution-for-financial-research/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/langalpha-ai-agents-using-programmatic-python-execution-for-financial-research/</guid><description>LangAlpha uses AI agents that write and execute Python to analyze financial data, reducing token waste and enabling persistent, steerable multi-agent research workspaces.</description></item><item><title>LaunchNext: restoring classic macOS Launchpad by reading its internal SQLite database</title><link>https://ramdi.fr/github-stars/launchnext-restoring-classic-macos-launchpad-by-reading-its-internal-sqlite-database/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/launchnext-restoring-classic-macos-launchpad-by-reading-its-internal-sqlite-database/</guid><description>LaunchNext is a Swift macOS app that revives the classic Launchpad experience removed in macOS 26 by importing layouts directly from the system Launchpad SQLite database. It supports Apple Silicon and Intel with dual rendering engines and CLI automation.</description></item><item><title>Layered AI-driven iOS development with Claude Code CLI and XcodeBuildMCP</title><link>https://ramdi.fr/github-stars/layered-ai-driven-ios-development-with-claude-code-cli-and-xcodebuildmcp/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/layered-ai-driven-ios-development-with-claude-code-cli-and-xcodebuildmcp/</guid><description>Explore how Claude Code CLI&amp;rsquo;s layered CLAUDE.md configs and XcodeBuildMCP integration create an AI-aware Swift/SwiftUI iOS workflow with build/test automation.</description></item><item><title>leaf: a Rust terminal Markdown previewer with GUI-like interactivity</title><link>https://ramdi.fr/github-stars/leaf-a-rust-terminal-markdown-previewer-with-gui-like-interactivity/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/leaf-a-rust-terminal-markdown-previewer-with-gui-like-interactivity/</guid><description>leaf is a Rust-based terminal Markdown previewer offering live reload, LaTeX support, fuzzy file picking, and mouse interaction for CLI workflows. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>learn-harness-engineering: a reproducible harness architecture for reliable AI coding agents</title><link>https://ramdi.fr/github-stars/learn-harness-engineering-a-reproducible-harness-architecture-for-reliable-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/learn-harness-engineering-a-reproducible-harness-architecture-for-reliable-ai-coding-agents/</guid><description>learn-harness-engineering offers a practical 5-subsystem harness framework to improve AI coding agent reliability, backed by industry research and starter templates for Claude Code and Codex.</description></item><item><title>Leo Health Core: local-first parsing of massive health data with SAX streaming in Python</title><link>https://ramdi.fr/github-stars/leo-health-core-local-first-parsing-of-massive-health-data-with-sax-streaming-in-python/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/leo-health-core-local-first-parsing-of-massive-health-data-with-sax-streaming-in-python/</guid><description>Leo Health Core is a zero-dependency Python CLI for parsing large Apple Health XML and Whoop CSV exports into a unified SQLite DB, using SAX streaming parsing and local file watching for seamless ingestion.</description></item><item><title>lich-skills: structured AI coding assistant skills with engineering rigor</title><link>https://ramdi.fr/github-stars/lich-skills-structured-ai-coding-assistant-skills-with-engineering-rigor/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/lich-skills-structured-ai-coding-assistant-skills-with-engineering-rigor/</guid><description>lich-skills offers seven domain-specific AI coding assistant skills with a focus on spec-driven development and scientific debugging to improve reliability.</description></item><item><title>LifeForge: tackling CSS cascade conflicts in a modular TypeScript personal management system</title><link>https://ramdi.fr/github-stars/lifeforge-tackling-css-cascade-conflicts-in-a-modular-typescript-personal-management-system/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/lifeforge-tackling-css-cascade-conflicts-in-a-modular-typescript-personal-management-system/</guid><description>LifeForge is a self-hosted modular personal management app in TypeScript facing CSS cascade conflicts from Module Federation with Tailwind CSS. The team’s token-driven UI approach offers a fresh solution.</description></item><item><title>LMMs-Lab Writer: a local-first AI-powered LaTeX editor with on-the-fly package management</title><link>https://ramdi.fr/github-stars/lmms-lab-writer-a-local-first-ai-powered-latex-editor-with-on-the-fly-package-management/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/lmms-lab-writer-a-local-first-ai-powered-latex-editor-with-on-the-fly-package-management/</guid><description>LMMs-Lab Writer is a native LaTeX editor built with Tauri that automates LaTeX package installs during compilation and integrates AI editing and Git, all running fully offline.</description></item><item><title>Lumibot: Unified Python trading library with AI agent runtime for reproducible strategy testing</title><link>https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/</guid><description>Lumibot unifies backtesting and live trading for stocks, options, crypto, and forex with AI agent runtime using DuckDB, supporting multiple brokers and data sources.</description></item><item><title>mac-monitor: macOS security monitoring with dynamic Endpoint Security event subscriptions</title><link>https://ramdi.fr/github-stars/mac-monitor-macos-security-monitoring-with-dynamic-endpoint-security-event-subscriptions/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mac-monitor-macos-security-monitoring-with-dynamic-endpoint-security-event-subscriptions/</guid><description>mac-monitor is a macOS-native security tool using Apple&amp;rsquo;s Endpoint Security framework with an XPC-based architecture for efficient, dynamic event monitoring and process-level correlation.</description></item><item><title>macmon: sudoless Apple Silicon power monitoring with Rust</title><link>https://ramdi.fr/github-stars/macmon-sudoless-apple-silicon-power-monitoring-with-rust/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/macmon-sudoless-apple-silicon-power-monitoring-with-rust/</guid><description>macmon is a Rust CLI tool that monitors Apple Silicon power consumption without root, using private macOS APIs. It offers TUI, JSON, and HTTP server modes, plus Prometheus integration.</description></item><item><title>Mapping the digital forensics landscape with the Digital-Forensics-Guide</title><link>https://ramdi.fr/github-stars/mapping-the-digital-forensics-landscape-with-the-digital-forensics-guide/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-digital-forensics-landscape-with-the-digital-forensics-guide/</guid><description>Digital-Forensics-Guide catalogs essential DFIR tools, frameworks, certifications, and playbooks across subdomains, serving as a practical roadmap for practitioners entering digital forensics.</description></item><item><title>Mapping the open source data engineering landscape: a curated catalog of storage engines and databases</title><link>https://ramdi.fr/github-stars/mapping-the-open-source-data-engineering-landscape-a-curated-catalog-of-storage-engines-and-databases/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-open-source-data-engineering-landscape-a-curated-catalog-of-storage-engines-and-databases/</guid><description>Explore a curated catalog of open source data engineering tools spanning storage engines, distributed SQL, streaming DBs, and OLAP systems. Understand ecosystem trends and tradeoffs.</description></item><item><title>Mastering GoLand IDE with practical tips and demos from awesome_goland</title><link>https://ramdi.fr/github-stars/mastering-goland-ide-with-practical-tips-and-demos-from-awesome-goland/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mastering-goland-ide-with-practical-tips-and-demos-from-awesome-goland/</guid><description>Explore 100+ practical GoLand IDE tips and demos for Go developers, covering debugging, testing, Docker/K8s workflows, and AI-assisted coding with step-by-step modules.</description></item><item><title>MCO: orchestrating multiple AI coding agents through a neutral CLI layer</title><link>https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mco-orchestrating-multiple-ai-coding-agents-through-a-neutral-cli-layer/</guid><description>MCO is a Python CLI tool that orchestrates multiple AI coding agents in parallel, aggregating results with deduplication and consensus, enabling multi-agent review workflows from any AI IDE.</description></item><item><title>MegaTrain: RAM-centric training architecture for 100B+ parameter LLMs on a single GPU</title><link>https://ramdi.fr/github-stars/megatrain-ram-centric-training-architecture-for-100b-parameter-llms-on-a-single-gpu/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/megatrain-ram-centric-training-architecture-for-100b-parameter-llms-on-a-single-gpu/</guid><description>MegaTrain enables training 100B+ parameter LLMs on a single GPU by offloading all parameters to CPU RAM and streaming layers to GPU. Supports HuggingFace models and multi-GPU data parallelism without NCCL.</description></item><item><title>Memcord: a privacy-first self-hosted MCP server for AI memory management</title><link>https://ramdi.fr/github-stars/memcord-a-privacy-first-self-hosted-mcp-server-for-ai-memory-management/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memcord-a-privacy-first-self-hosted-mcp-server-for-ai-memory-management/</guid><description>Memcord is a self-hosted MCP server enabling local-first AI memory with slot-based context isolation and multiple summarization backends, designed for privacy and developer ergonomics.</description></item><item><title>MemKraft: local-first memory for AI agents with empirical self-improvement</title><link>https://ramdi.fr/github-stars/memkraft-local-first-memory-for-ai-agents-with-empirical-self-improvement/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memkraft-local-first-memory-for-ai-agents-with-empirical-self-improvement/</guid><description>MemKraft is a zero-dependency local-first memory system storing AI agent knowledge as Markdown, featuring bitemporal tracking, hybrid search, and a prompt self-improvement loop.</description></item><item><title>memU Bot: structured semantic memory for enterprise AI agents</title><link>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</guid><description>memU Bot replaces flat memory with a semantic memory layer, cutting token use by 90%. It supports Telegram, Discord, Slack, and Feishu with quick setup and MCP integration.</description></item><item><title>Mind-Map-Wizard: AI-powered mind maps with a custom SVG rendering engine</title><link>https://ramdi.fr/github-stars/mind-map-wizard-ai-powered-mind-maps-with-a-custom-svg-rendering-engine/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mind-map-wizard-ai-powered-mind-maps-with-a-custom-svg-rendering-engine/</guid><description>Mind-Map-Wizard generates interactive mind maps from AI-generated markdown outlines using a custom SVG engine and keeps all data local for privacy.</description></item><item><title>Mind: a structured persistent memory layer with 3-tier context for AI agents</title><link>https://ramdi.fr/github-stars/mind-a-structured-persistent-memory-layer-with-3-tier-context-for-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mind-a-structured-persistent-memory-layer-with-3-tier-context-for-ai-agents/</guid><description>Mind offers a SQLite-backed persistent memory layer with a 3-tier model for AI agents, solving context decay via checkpoint recovery and semantic search integration.</description></item><item><title>MindForger: A C++ personal knowledge manager with semantic Markdown navigation</title><link>https://ramdi.fr/github-stars/mindforger-a-c-personal-knowledge-manager-with-semantic-markdown-navigation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mindforger-a-c-personal-knowledge-manager-with-semantic-markdown-navigation/</guid><description>MindForger is a cross-platform C++ desktop app combining a Markdown IDE and personal knowledge management with local semantic note linking and knowledge graph navigation.</description></item><item><title>Modular extruder mounts for Voron V0.2 Mini-Stealthburner: a clean hardware abstraction</title><link>https://ramdi.fr/github-stars/modular-extruder-mounts-for-voron-v0-2-mini-stealthburner-a-clean-hardware-abstraction/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/modular-extruder-mounts-for-voron-v0-2-mini-stealthburner-a-clean-hardware-abstraction/</guid><description>MiniSB-Extruder-Mounts offers modular 3D printable mounts adapting the Voron V0.2 Mini-Stealthburner toolhead to 17 extruder models, preserving core geometry for drop-in compatibility.</description></item><item><title>Mosaic Lite: a minimal React and Tailwind CSS admin dashboard template</title><link>https://ramdi.fr/github-stars/mosaic-lite-a-minimal-react-and-tailwind-css-admin-dashboard-template/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mosaic-lite-a-minimal-react-and-tailwind-css-admin-dashboard-template/</guid><description>Mosaic Lite is a minimal React admin dashboard template built with Tailwind CSS and Vite, designed for flexibility and developer control. It includes Chart.js visualizations and responsive UI components.</description></item><item><title>MR.ScaleMaster: heterogeneous multi-robot monocular SLAM fusion via Sim(3) optimization</title><link>https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/</guid><description>MR.ScaleMaster fuses scale-ambiguous monocular SLAM trajectories from multiple robots using Sim(3) graph optimization, enabling heterogeneous SLAM frontends and consistent global maps.</description></item><item><title>MV-SAM3D: entropy-weighted multi-view fusion for 3D object reconstruction</title><link>https://ramdi.fr/github-stars/mv-sam3d-entropy-weighted-multi-view-fusion-for-3d-object-reconstruction/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mv-sam3d-entropy-weighted-multi-view-fusion-for-3d-object-reconstruction/</guid><description>MV-SAM3D extends SAM 3D Objects with entropy-based multi-view fusion and optional pose optimization for more stable and consistent 3D object reconstruction across scenes.</description></item><item><title>NAS3R: Self-supervised 3D reconstruction and camera pose estimation with Gaussian splatting</title><link>https://ramdi.fr/github-stars/nas3r-self-supervised-3d-reconstruction-and-camera-pose-estimation-with-gaussian-splatting/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/nas3r-self-supervised-3d-reconstruction-and-camera-pose-estimation-with-gaussian-splatting/</guid><description>NAS3R enables self-supervised 3D geometry and camera parameter estimation without ground-truth data, using Gaussian splatting and a VGGT backbone. It supports multi-view setups and optional pretrained initialization.</description></item><item><title>Navigating the AI agent ecosystem with the awesome-ai-agents-2026 catalog</title><link>https://ramdi.fr/github-stars/navigating-the-ai-agent-ecosystem-with-the-awesome-ai-agents-2026-catalog/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-ai-agent-ecosystem-with-the-awesome-ai-agents-2026-catalog/</guid><description>A living catalog of 340+ AI agent tools and frameworks in 2026, with a deep dive into GNAP&amp;rsquo;s minimal multi-agent coordination approach using git and JSON files.</description></item><item><title>Navigating the fragmented AI agent landscape with the awesome_ai_agents curated directory</title><link>https://ramdi.fr/github-stars/navigating-the-fragmented-ai-agent-landscape-with-the-awesome-ai-agents-curated-directory/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-fragmented-ai-agent-landscape-with-the-awesome-ai-agents-curated-directory/</guid><description>Explore a curated directory of 1,500+ AI agent tools, frameworks, and projects organized by use case. Essential for developers navigating the rapidly evolving AI agent space.</description></item><item><title>NeoHtop: a lightweight cross-platform system monitor built with Tauri, Rust, and SvelteKit</title><link>https://ramdi.fr/github-stars/neohtop-a-lightweight-cross-platform-system-monitor-built-with-tauri-rust-and-sveltekit/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/neohtop-a-lightweight-cross-platform-system-monitor-built-with-tauri-rust-and-sveltekit/</guid><description>NeoHtop is a cross-platform system monitor combining a Rust backend with a SvelteKit UI via Tauri, offering efficient desktop monitoring without Electron&amp;rsquo;s overhead.</description></item><item><title>NocoDB: a self-hosted no-code database UI with one-line production deployment</title><link>https://ramdi.fr/github-stars/nocodb-a-self-hosted-no-code-database-ui-with-one-line-production-deployment/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/nocodb-a-self-hosted-no-code-database-ui-with-one-line-production-deployment/</guid><description>NocoDB provides a no-code Airtable alternative with multi-view UI and REST APIs, featuring a one-line script to auto-deploy a full production stack with SSL.</description></item><item><title>NOVA3R: Non-pixel-aligned visual transformer for amodal 3D reconstruction from unposed multi-view images</title><link>https://ramdi.fr/github-stars/nova3r-non-pixel-aligned-visual-transformer-for-amodal-3d-reconstruction-from-unposed-multi-view-images/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/nova3r-non-pixel-aligned-visual-transformer-for-amodal-3d-reconstruction-from-unposed-multi-view-images/</guid><description>NOVA3R implements a non-pixel-aligned visual transformer for amodal 3D reconstruction from unposed multi-view images, recovering occluded geometry with physical plausibility.</description></item><item><title>NVIDIA NeMo Agent Toolkit: Enhancing multi-agent workflows with performance primitives and observability</title><link>https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/</guid><description>NVIDIA NeMo Agent Toolkit adds performance primitives, profiling, and runtime intelligence to multi-agent workflows alongside existing frameworks like LangChain. It enables latency-aware routing, token-level profiling, and YAML-driven flows.</description></item><item><title>Observing AI agents at scale with opsrobot: a Vector-based telemetry pipeline for OpenClaw workflows</title><link>https://ramdi.fr/github-stars/observing-ai-agents-at-scale-with-opsrobot-a-vector-based-telemetry-pipeline-for-openclaw-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/observing-ai-agents-at-scale-with-opsrobot-a-vector-based-telemetry-pipeline-for-openclaw-workflows/</guid><description>opsrobot-ai/opsrobot offers a full-stack observability platform for AI agents, using Vector pipelines to transform OpenClaw logs into structured data in Apache Doris, enabling detailed multi-agent tracing.</description></item><item><title>oh-my-kiro: deterministic hooks and reliable loops for AI coding agents</title><link>https://ramdi.fr/github-stars/oh-my-kiro-deterministic-hooks-and-reliable-loops-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/oh-my-kiro-deterministic-hooks-and-reliable-loops-for-ai-coding-agents/</guid><description>oh-my-kiro enhances AI coding agents with 3-layer deterministic enforcement and a crash-recovering outer loop, improving reliability and reducing hallucinations.</description></item><item><title>OLED Sleeper: per-monitor power management on Windows with DDC/CI and Win32 APIs</title><link>https://ramdi.fr/github-stars/oled-sleeper-per-monitor-power-management-on-windows-with-ddc-ci-and-win32-apis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/oled-sleeper-per-monitor-power-management-on-windows-with-ddc-ci-and-win32-apis/</guid><description>OLED Sleeper fills a Windows gap by enabling per-monitor power control using Win32 APIs and hardware-level DDC/CI brightness commands. It’s a practical tool for multi-monitor setups.</description></item><item><title>OmniStream: a multi-frame transformer for continuous video stream perception</title><link>https://ramdi.fr/github-stars/omnistream-a-multi-frame-transformer-for-continuous-video-stream-perception/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/omnistream-a-multi-frame-transformer-for-continuous-video-stream-perception/</guid><description>OmniStream uses a multi-frame transformer to process continuous video streams with patch-level temporal indexing, supporting downstream vision-language-action tasks.</description></item><item><title>On-page SEO auditing with real-time progress streaming using TypeScript monorepo</title><link>https://ramdi.fr/github-stars/on-page-seo-auditing-with-real-time-progress-streaming-using-typescript-monorepo/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/on-page-seo-auditing-with-real-time-progress-streaming-using-typescript-monorepo/</guid><description>A full-stack TypeScript monorepo for on-page SEO auditing uses SSE to stream real-time audit progress and integrates multiple APIs for detailed SEO metrics.</description></item><item><title>Open Vibe Island: a native macOS overlay for real-time AI coding agent monitoring</title><link>https://ramdi.fr/github-stars/open-vibe-island-a-native-macos-overlay-for-real-time-ai-coding-agent-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-vibe-island-a-native-macos-overlay-for-real-time-ai-coding-agent-monitoring/</guid><description>Open Vibe Island is a macOS menubar overlay that monitors and controls AI coding agents in real-time using a hook-based architecture and Unix socket IPC. It supports multiple agents and IDEs with local-first design and zero telemetry.</description></item><item><title>open-ralph-wiggum: a self-correcting AI coding agent loop using git state feedback</title><link>https://ramdi.fr/github-stars/open-ralph-wiggum-a-self-correcting-ai-coding-agent-loop-using-git-state-feedback/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-ralph-wiggum-a-self-correcting-ai-coding-agent-loop-using-git-state-feedback/</guid><description>Open Ralph Wiggum runs AI coding agents in an autonomous loop, using git history and file changes as implicit feedback to guide iterations until completion promises are detected.</description></item><item><title>OpenAEV: A modular platform for multi-channel cyber adversary simulation with threat intelligence</title><link>https://ramdi.fr/github-stars/openaev-a-modular-platform-for-multi-channel-cyber-adversary-simulation-with-threat-intelligence/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openaev-a-modular-platform-for-multi-channel-cyber-adversary-simulation-with-threat-intelligence/</guid><description>OpenAEV is a Java-based platform for orchestrating multi-channel cyber adversary simulation campaigns, integrating email, SMS, social media, and alarm systems with OpenCTI threat intelligence.</description></item><item><title>OpenBSP API: a decoupled, multi-tenant WhatsApp Business platform with agentic infrastructure</title><link>https://ramdi.fr/github-stars/openbsp-api-a-decoupled-multi-tenant-whatsapp-business-platform-with-agentic-infrastructure/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openbsp-api-a-decoupled-multi-tenant-whatsapp-business-platform-with-agentic-infrastructure/</guid><description>OpenBSP API offers a serverless, multi-tenant WhatsApp Business platform with a clean separation of messaging and AI agent logic using MCP over SSE and Supabase. Deploy in 15 minutes.</description></item><item><title>OpenBudgeteer: a .NET self-hosted budgeting app implementing bucket budgeting with Blazor Server</title><link>https://ramdi.fr/github-stars/openbudgeteer-a-net-self-hosted-budgeting-app-implementing-bucket-budgeting-with-blazor-server/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openbudgeteer-a-net-self-hosted-budgeting-app-implementing-bucket-budgeting-with-blazor-server/</guid><description>OpenBudgeteer offers a self-hosted personal budgeting app using .NET and Blazor Server, implementing bucket budgeting like YNAB. It supports Docker deployment with MariaDB, targeting privacy-conscious users.</description></item><item><title>OpenClaude: a multi-model terminal-first coding agent CLI with practical agent routing</title><link>https://ramdi.fr/github-stars/openclaude-a-multi-model-terminal-first-coding-agent-cli-with-practical-agent-routing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaude-a-multi-model-terminal-first-coding-agent-cli-with-practical-agent-routing/</guid><description>OpenClaude is a TypeScript CLI coding agent that routes tasks across different LLMs by type, optimizing cost and performance with multi-provider support and a unified terminal interface.</description></item><item><title>OpenClaw Dashboard: a lightweight Go server for AI data visualization and interaction</title><link>https://ramdi.fr/github-stars/openclaw-dashboard-a-lightweight-go-server-for-ai-data-visualization-and-interaction/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-dashboard-a-lightweight-go-server-for-ai-data-visualization-and-interaction/</guid><description>OpenClaw Dashboard is a Go-based self-hosted web UI for visualizing and interacting with OpenClaw AI data. It offers easy setup, live data refresh, and a chat panel integrated with OpenClaw gateway.</description></item><item><title>OpenDeck: a Zephyr-based no-code firmware platform for versatile MIDI controller development</title><link>https://ramdi.fr/github-stars/opendeck-a-zephyr-based-no-code-firmware-platform-for-versatile-midi-controller-development/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/opendeck-a-zephyr-based-no-code-firmware-platform-for-versatile-midi-controller-development/</guid><description>OpenDeck uses Zephyr RTOS and a web configurator to enable no-code MIDI controller firmware across multiple MCUs, supporting extensive I/O and MIDI features with cross-board compatibility.</description></item><item><title>OpenixSuit: a Tauri desktop app for Allwinner firmware flashing with Rust and React</title><link>https://ramdi.fr/github-stars/openixsuit-a-tauri-desktop-app-for-allwinner-firmware-flashing-with-rust-and-react/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openixsuit-a-tauri-desktop-app-for-allwinner-firmware-flashing-with-rust-and-react/</guid><description>OpenixSuit is a cross-platform Tauri desktop app with a Rust backend and React frontend for flashing Allwinner firmware. It features 8 integrated tools and custom USB bindings for FEL/FES modes.</description></item><item><title>OpenMythos: Exploring recurrent-depth transformers with input injection for sustained reasoning</title><link>https://ramdi.fr/github-stars/openmythos-exploring-recurrent-depth-transformers-with-input-injection-for-sustained-reasoning/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openmythos-exploring-recurrent-depth-transformers-with-input-injection-for-sustained-reasoning/</guid><description>OpenMythos implements a recurrent-depth transformer that recycles layers via looped blocks, using input injection to prevent signal drift. It scales from 1B to 1T parameters with up to 1M token context.</description></item><item><title>OpenPods: reverse engineering AirPods battery monitoring on Android</title><link>https://ramdi.fr/github-stars/openpods-reverse-engineering-airpods-battery-monitoring-on-android/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openpods-reverse-engineering-airpods-battery-monitoring-on-android/</guid><description>OpenPods is an Android app that locally monitors AirPods and Beats battery levels by decoding Apple&amp;rsquo;s proprietary Bluetooth Low Energy advertisements. It supports all AirPods and Beats models without cloud dependencies.</description></item><item><title>OpenResearcher: An open-source 30B LLM for long-horizon deep research</title><link>https://ramdi.fr/github-stars/openresearcher-an-open-source-30b-llm-for-long-horizon-deep-research/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openresearcher-an-open-source-30b-llm-for-long-horizon-deep-research/</guid><description>OpenResearcher is a fully open 30B agentic LLM designed for deep research tasks, featuring a 96K-turn dataset and a self-built retriever over 11B tokens, running on vLLM with 8×A100 GPUs.</description></item><item><title>OrcaQ: a family-aware multi-database editor with safe AI assistance</title><link>https://ramdi.fr/github-stars/orcaq-a-family-aware-multi-database-editor-with-safe-ai-assistance/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/orcaq-a-family-aware-multi-database-editor-with-safe-ai-assistance/</guid><description>OrcaQ is a Vue 3 and Tauri-based desktop database editor that adapts its UI for SQL and Redis. It offers schema exploration, ERD visualization, AI-driven SQL generation, and safe mutation execution.</description></item><item><title>ordinary-claude-skills: an extensive local-first library of Claude prompt packages for specialized AI agents</title><link>https://ramdi.fr/github-stars/ordinary-claude-skills-an-extensive-local-first-library-of-claude-prompt-packages-for-specialized-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ordinary-claude-skills-an-extensive-local-first-library-of-claude-prompt-packages-for-specialized-ai-agents/</guid><description>Discover ordinary-claude-skills, a local-first collection of 600+ prompt packages that specialize Claude AI with domain skills, integrated via MCP filesystem for lazy loading.</description></item><item><title>Otakuapuri: a Python desktop app for manga and anime with Cloudflare-bypass scraping and responsive Tkinter UI</title><link>https://ramdi.fr/github-stars/otakuapuri-a-python-desktop-app-for-manga-and-anime-with-cloudflare-bypass-scraping-and-responsive-tkinter-ui/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/otakuapuri-a-python-desktop-app-for-manga-and-anime-with-cloudflare-bypass-scraping-and-responsive-tkinter-ui/</guid><description>Otakuapuri is a Python Tkinter app combining manga download, reading, and anime streaming with Cloudflare-bypass scraping and multithreaded UI for responsiveness.</description></item><item><title>paper-console: modular thermal printer IoT with dual-mode Raspberry Pi integration</title><link>https://ramdi.fr/github-stars/paper-console-modular-thermal-printer-iot-with-dual-mode-raspberry-pi-integration/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper-console-modular-thermal-printer-iot-with-dual-mode-raspberry-pi-integration/</guid><description>paper-console runs a modular FastAPI backend and Vue/Svelte frontend to print curated content on thermal paper via Raspberry Pi Zero 2 W, supporting dev mock mode and hardware mode with GPIO integration.</description></item><item><title>PAT3D: orchestrating text-to-3D simulation-ready scenes through a multi-stage AI and physics pipeline</title><link>https://ramdi.fr/github-stars/pat3d-orchestrating-text-to-3d-simulation-ready-scenes-through-a-multi-stage-ai-and-physics-pipeline/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/pat3d-orchestrating-text-to-3d-simulation-ready-scenes-through-a-multi-stage-ai-and-physics-pipeline/</guid><description>PAT3D composes a 9-stage pipeline combining LLMs, vision models, 3D asset generators, and physics simulation to produce physically plausible, simulation-ready 3D scenes from text prompts.</description></item><item><title>Photoview: a filesystem-first self-hosted photo gallery with RAW support and face recognition</title><link>https://ramdi.fr/github-stars/photoview-a-filesystem-first-self-hosted-photo-gallery-with-raw-support-and-face-recognition/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/photoview-a-filesystem-first-self-hosted-photo-gallery-with-raw-support-and-face-recognition/</guid><description>Photoview indexes photos in place on your server without moving files, supporting RAW formats, face recognition, and Docker deployment with multiple database backends.</description></item><item><title>Picosnitch: per-executable network monitoring on Linux with eBPF and fanotify</title><link>https://ramdi.fr/github-stars/picosnitch-per-executable-network-monitoring-on-linux-with-ebpf-and-fanotify/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/picosnitch-per-executable-network-monitoring-on-linux-with-ebpf-and-fanotify/</guid><description>Picosnitch uses eBPF and fanotify to track bandwidth per executable on Linux, with device+inode caching and hash verification for accuracy.</description></item><item><title>PiKVM: Turning a Raspberry Pi into a low-latency remote IP-KVM system</title><link>https://ramdi.fr/github-stars/pikvm-turning-a-raspberry-pi-into-a-low-latency-remote-ip-kvm-system/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/pikvm-turning-a-raspberry-pi-into-a-low-latency-remote-ip-kvm-system/</guid><description>PiKVM transforms a Raspberry Pi into a remote IP-KVM with 35-50ms H.264 latency, HDMI-to-CSI capture, USB HID emulation, and virtual mass storage for server management.</description></item><item><title>Pluton: a self-hosted TypeScript backup platform wrapping Restic and Rclone</title><link>https://ramdi.fr/github-stars/pluton-a-self-hosted-typescript-backup-platform-wrapping-restic-and-rclone/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/pluton-a-self-hosted-typescript-backup-platform-wrapping-restic-and-rclone/</guid><description>Pluton is a TypeScript backup management platform that wraps Restic and Rclone behind a web UI, supporting encrypted incremental backups and multi-destination replication.</description></item><item><title>Polyseer: a multi-agent AI system for analyst-grade prediction market analysis</title><link>https://ramdi.fr/github-stars/polyseer-a-multi-agent-ai-system-for-analyst-grade-prediction-market-analysis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/polyseer-a-multi-agent-ai-system-for-analyst-grade-prediction-market-analysis/</guid><description>Polyseer uses specialized AI agents and Bayesian evidence aggregation to analyze Polymarket and Kalshi prediction markets, producing nuanced verdicts instead of surface speculation.</description></item><item><title>Prefab: a Python-first declarative UI framework for agent-generated MCP apps</title><link>https://ramdi.fr/github-stars/prefab-a-python-first-declarative-ui-framework-for-agent-generated-mcp-apps/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/prefab-a-python-first-declarative-ui-framework-for-agent-generated-mcp-apps/</guid><description>Prefab offers a Python DSL for building declarative UI compiled to JSON and rendered via React, designed for MCP apps and AI agent-generated interfaces without frontend JavaScript.</description></item><item><title>PromptHMR: integrating promptable architecture for 3D human mesh recovery from monocular inputs</title><link>https://ramdi.fr/github-stars/prompthmr-integrating-promptable-architecture-for-3d-human-mesh-recovery-from-monocular-inputs/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/prompthmr-integrating-promptable-architecture-for-3d-human-mesh-recovery-from-monocular-inputs/</guid><description>PromptHMR adapts SAM&amp;rsquo;s promptable design to 3D human mesh recovery, integrating SLAM, pose detection, and SMPL models into a unified pipeline for monocular images and videos.</description></item><item><title>pve-microvm: hardware-isolated microVMs integrated into Proxmox VE for fast, container-like boot times</title><link>https://ramdi.fr/github-stars/pve-microvm-hardware-isolated-microvms-integrated-into-proxmox-ve-for-fast-container-like-boot-times/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/pve-microvm-hardware-isolated-microvms-integrated-into-proxmox-ve-for-fast-container-like-boot-times/</guid><description>pve-microvm patches Proxmox VE to expose QEMU microvm machine type for hardware-isolated VMs with container-like boot times, supporting 21 guest OSes and full PVE features.</description></item><item><title>Python Data Science Handbook: Exploring the Core Python Data Science Stack Through Executable Notebooks</title><link>https://ramdi.fr/github-stars/python-data-science-handbook-exploring-the-core-python-data-science-stack-through-executable-notebooks/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/python-data-science-handbook-exploring-the-core-python-data-science-stack-through-executable-notebooks/</guid><description>Explore the Python Data Science Handbook repo offering runnable Jupyter notebooks covering NumPy, Pandas, Matplotlib, and Scikit-Learn with no local setup required.</description></item><item><title>QuantaAlpha: LLM-driven trajectory-based self-evolution for quantitative alpha factor discovery</title><link>https://ramdi.fr/github-stars/quantaalpha-llm-driven-trajectory-based-self-evolution-for-quantitative-alpha-factor-discovery/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/quantaalpha-llm-driven-trajectory-based-self-evolution-for-quantitative-alpha-factor-discovery/</guid><description>QuantaAlpha uses large language models with evolutionary strategies to automate quantitative alpha factor discovery, achieving strong backtest metrics on major indices.</description></item><item><title>RapidRAW: GPU-accelerated cross-platform RAW image editing with WGPU compute shaders</title><link>https://ramdi.fr/github-stars/rapidraw-gpu-accelerated-cross-platform-raw-image-editing-with-wgpu-compute-shaders/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rapidraw-gpu-accelerated-cross-platform-raw-image-editing-with-wgpu-compute-shaders/</guid><description>RapidRAW is a cross-platform RAW image editor using GPU compute via WGPU/WGSL shaders for real-time, non-destructive editing. It offers AI masking and lens correction in a lightweight package.</description></item><item><title>ray-finance: a local-first, privacy-focused CLI financial advisor with encrypted context and LLM-powered advice</title><link>https://ramdi.fr/github-stars/ray-finance-a-local-first-privacy-focused-cli-financial-advisor-with-encrypted-context-and-llm-powered-advice/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ray-finance-a-local-first-privacy-focused-cli-financial-advisor-with-encrypted-context-and-llm-powered-advice/</guid><description>ray-finance is a TypeScript CLI tool that syncs bank data locally with AES-256 encryption, redacts PII before AI calls, and maintains persistent financial context for personalized LLM advice.</description></item><item><title>Reconya: native Go network reconnaissance with layered scanning and honest Docker tradeoffs</title><link>https://ramdi.fr/github-stars/reconya-native-go-network-reconnaissance-with-layered-scanning-and-honest-docker-tradeoffs/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/reconya-native-go-network-reconnaissance-with-layered-scanning-and-honest-docker-tradeoffs/</guid><description>Reconya is a native Go network reconnaissance tool combining ICMP, TCP, and ARP scanning with a vanilla JS web dashboard. Docker support is experimental due to Layer 2 limits.</description></item><item><title>reNgine: A Django-based framework for customizable web reconnaissance pipelines</title><link>https://ramdi.fr/github-stars/rengine-a-django-based-framework-for-customizable-web-reconnaissance-pipelines/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rengine-a-django-based-framework-for-customizable-web-reconnaissance-pipelines/</guid><description>reNgine is a Django-powered web reconnaissance framework using YAML configurations to orchestrate multiple security tools with async concurrency and role-based access control.</description></item><item><title>RESTai: a multi-project AIaaS platform with agentic browser automation and visual AI pipelines</title><link>https://ramdi.fr/github-stars/restai-a-multi-project-aiaas-platform-with-agentic-browser-automation-and-visual-ai-pipelines/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/restai-a-multi-project-aiaas-platform-with-agentic-browser-automation-and-visual-ai-pipelines/</guid><description>RESTai exposes multi-project AI capabilities via a unified REST API, featuring an agentic browser with Dockerized Playwright, knowledge graph RAG, and a visual Blockly pipeline builder.</description></item><item><title>Reze Studio: React and WebGPU powering smooth animation curve editing for MMD</title><link>https://ramdi.fr/github-stars/reze-studio-react-and-webgpu-powering-smooth-animation-curve-editing-for-mmd/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/reze-studio-react-and-webgpu-powering-smooth-animation-curve-editing-for-mmd/</guid><description>Reze Studio is a WebGPU-powered, browser-native animation curve editor for MikuMikuDance, featuring a React-based timeline and performance architecture that minimizes UI stalls during playback and edits.</description></item><item><title>rs-top: agentless remote system monitoring via SSH with a Rust TUI</title><link>https://ramdi.fr/github-stars/rs-top-agentless-remote-system-monitoring-via-ssh-with-a-rust-tui/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rs-top-agentless-remote-system-monitoring-via-ssh-with-a-rust-tui/</guid><description>rs-top is a Rust-based lightweight remote system monitor that uses SSH to provide a real-time TUI dashboard without any agent installation on remote hosts.</description></item><item><title>RsClaw: a Rust-native AI agent engine with persistent three-layer memory and multi-agent delegation</title><link>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</guid><description>RsClaw is a Rust-based AI agent engine featuring persistent three-layer memory across sessions, multi-agent delegation, and low resource usage in a single 15MB binary.</description></item><item><title>Running autonomous software engineering agents with AWS CDK and EC2 workers</title><link>https://ramdi.fr/github-stars/running-autonomous-software-engineering-agents-with-aws-cdk-and-ec2-workers/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-autonomous-software-engineering-agents-with-aws-cdk-and-ec2-workers/</guid><description>Explore how aws-samples/remote-swe-agents runs autonomous software engineering agents in dedicated EC2 instances orchestrated by AWS CDK with a Next.js interface and Amazon Bedrock LLM integration.</description></item><item><title>Running OpenClaw AI Agents Natively on Android with Termux: A Practical Deep Dive</title><link>https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/</guid><description>OpenClaw runs natively on Android via Termux using a Node.js patch that fixes Bionic libc issues, cutting boot time to ~2s and slashing RAM overhead. Here&amp;rsquo;s how it works.</description></item><item><title>Scarf: a native Swift companion app for Hermes AI with smooth multimodal input and real-time monitoring</title><link>https://ramdi.fr/github-stars/scarf-a-native-swift-companion-app-for-hermes-ai-with-smooth-multimodal-input-and-real-time-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/scarf-a-native-swift-companion-app-for-hermes-ai-with-smooth-multimodal-input-and-real-time-monitoring/</guid><description>Scarf is a Swift native macOS and iOS app that provides a GUI for the Hermes AI agent, featuring SSH connectivity, efficient image encoding, SQLite state sync, and real-time dashboards.</description></item><item><title>SceneMaker: a decoupled framework for 3D scene generation with de-occlusion</title><link>https://ramdi.fr/github-stars/scenemaker-a-decoupled-framework-for-3d-scene-generation-with-de-occlusion/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/scenemaker-a-decoupled-framework-for-3d-scene-generation-with-de-occlusion/</guid><description>SceneMaker separates de-occlusion from 3D object generation to handle occluded open-set scenes. It uses FLUX Kontext and Step1X-3D, with code and checkpoints available.</description></item><item><title>Shotcut: A cross-platform video editor built on MLT's multimedia pipeline</title><link>https://ramdi.fr/github-stars/shotcut-a-cross-platform-video-editor-built-on-mlt-s-multimedia-pipeline/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/shotcut-a-cross-platform-video-editor-built-on-mlt-s-multimedia-pipeline/</guid><description>Shotcut is a mature, cross-platform video editor using MLT for multimedia processing and Qt 6 for its UI. Its architecture cleanly separates UI from processing, enabling native builds across major OSes.</description></item><item><title>Shrike: an open FPGA-MCU development board bridging reconfigurable logic and microcontrollers</title><link>https://ramdi.fr/github-stars/shrike-an-open-fpga-mcu-development-board-bridging-reconfigurable-logic-and-microcontrollers/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/shrike-an-open-fpga-mcu-development-board-bridging-reconfigurable-logic-and-microcontrollers/</guid><description>Shrike is a low-cost open-source FPGA development board paired with microcontrollers, enabling beginners to explore heterogeneous FPGA-MCU computing with accessible hardware and open toolchains.</description></item><item><title>SimRecon: compositional 3D scene reconstruction with viewpoint optimization and semantic graph synthesis</title><link>https://ramdi.fr/github-stars/simrecon-compositional-3d-scene-reconstruction-with-viewpoint-optimization-and-semantic-graph-synthesis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/simrecon-compositional-3d-scene-reconstruction-with-viewpoint-optimization-and-semantic-graph-synthesis/</guid><description>SimRecon converts real-world videos into simulation-ready 3D scenes by combining geometry reconstruction, instance segmentation, viewpoint optimization, and semantic scene graph synthesis.</description></item><item><title>Skills Manager: local multi-agent coding skill management on macOS</title><link>https://ramdi.fr/github-stars/skills-manager-local-multi-agent-coding-skill-management-on-macos/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/skills-manager-local-multi-agent-coding-skill-management-on-macos/</guid><description>Skills Manager is a native macOS app that unifies skill management for over 40 coding agents. It normalizes fragmented skill formats with a local-first SwiftUI design and real-time monitoring.</description></item><item><title>SnapDOM: flexible zero-dependency DOM snapshotting with a reusable capture pipeline</title><link>https://ramdi.fr/github-stars/snapdom-flexible-zero-dependency-dom-snapshotting-with-a-reusable-capture-pipeline/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/snapdom-flexible-zero-dependency-dom-snapshotting-with-a-reusable-capture-pipeline/</guid><description>SnapDOM captures DOM subtrees as images or SVGs using a reusable clone and plugin hooks. It’s zero-dependency, extensible, and handles complex CSS and iframes.</description></item><item><title>Spatial organization for home data with a self-hosted Django app</title><link>https://ramdi.fr/github-stars/spatial-organization-for-home-data-with-a-self-hosted-django-app/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/spatial-organization-for-home-data-with-a-self-hosted-django-app/</guid><description>Home Information offers a spatial, local-first way to organize home manuals, warranties, and controls via a Django app integrating Home Assistant and ZoneMinder. Easy Docker quick start included.</description></item><item><title>Spec-first web design with Claude Code: enforcing design contracts via DESIGN.md</title><link>https://ramdi.fr/github-stars/spec-first-web-design-with-claude-code-enforcing-design-contracts-via-design-md/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/spec-first-web-design-with-claude-code-enforcing-design-contracts-via-design-md/</guid><description>web-design is a Claude Code SKILL that enforces a spec-first web design workflow via DESIGN.md, bridging AI code generation with consistent, testable design output.</description></item><item><title>specialized claude code agents as architectural consultants</title><link>https://ramdi.fr/github-stars/specialized-claude-code-agents-as-architectural-consultants/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/specialized-claude-code-agents-as-architectural-consultants/</guid><description>A curated repo of 30+ Claude Code agents focusing on architectural consulting across languages, frameworks, and infrastructure. Guidance-first approach flips typical code-gen agents.</description></item><item><title>Spoolman: managing 3D printer filament inventory with real-time sync and multi-backend support</title><link>https://ramdi.fr/github-stars/spoolman-managing-3d-printer-filament-inventory-with-real-time-sync-and-multi-backend-support/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/spoolman-managing-3d-printer-filament-inventory-with-real-time-sync-and-multi-backend-support/</guid><description>Spoolman is a Python web service that tracks 3D printer filament inventory in real-time with multi-printer concurrency, supporting four databases and major 3D printing platforms.</description></item><item><title>Standardizing AI agent capabilities with modular skill files in yofine/skills</title><link>https://ramdi.fr/github-stars/standardizing-ai-agent-capabilities-with-modular-skill-files-in-yofine-skills/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/standardizing-ai-agent-capabilities-with-modular-skill-files-in-yofine-skills/</guid><description>yofine/skills offers a minimal, modular approach to AI agent capabilities with SKILL.md files using YAML frontmatter, exemplified by a technical diagram skill generating Flat Engineering Blueprints.</description></item><item><title>standardizing AI agent capabilities with sanjay3290/ai-skills</title><link>https://ramdi.fr/github-stars/standardizing-ai-agent-capabilities-with-sanjay3290-ai-skills/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/standardizing-ai-agent-capabilities-with-sanjay3290-ai-skills/</guid><description>Explore sanjay3290/ai-skills, a portable skill collection implementing the open Agent Skills Standard for cross-platform AI agent extensibility. Supports 40+ agents, 20+ skills, with OAuth security.</description></item><item><title>Standardizing AI agent workflows with Agent SOPs and markdown-driven constraints</title><link>https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-agent-sops-and-markdown-driven-constraints/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/standardizing-ai-agent-workflows-with-agent-sops-and-markdown-driven-constraints/</guid><description>Agent SOPs offers a Python SDK that defines AI agent workflows as markdown-based SOPs with RFC 2119 constraints, solving reproducibility and artifact management challenges.</description></item><item><title>Stash: a shared agent memory with no server-side LLM calls</title><link>https://ramdi.fr/github-stars/stash-a-shared-agent-memory-with-no-server-side-llm-calls/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/stash-a-shared-agent-memory-with-no-server-side-llm-calls/</guid><description>Stash captures coding agent session transcripts for teams and builds a shared knowledge base without server-side LLM calls, preserving privacy and cutting costs.</description></item><item><title>Super-LIO: A structured mapping LiDAR-Inertial Odometry system for faster real-time navigation</title><link>https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/</guid><description>Super-LIO improves LiDAR-Inertial Odometry with a compact mapping strategy that speeds up correspondence search by 1.2-4x. It supports ROS1/2 and targets Livox Mid-360 sensors.</description></item><item><title>SuperCorners: Extending macOS Hot Corners with middle-edge triggers and versatile actions</title><link>https://ramdi.fr/github-stars/supercorners-extending-macos-hot-corners-with-middle-edge-triggers-and-versatile-actions/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/supercorners-extending-macos-hot-corners-with-middle-edge-triggers-and-versatile-actions/</guid><description>SuperCorners enhances macOS Hot Corners by adding middle-edge trigger zones and a wider action set, using SwiftUI and native macOS libraries. It manages activation conflicts with modifier keys and requires Accessibility permissions.</description></item><item><title>Sveltia CMS: A modern, Git-based headless CMS compatible with Netlify CMS</title><link>https://ramdi.fr/github-stars/sveltia-cms-a-modern-git-based-headless-cms-compatible-with-netlify-cms/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/sveltia-cms-a-modern-git-based-headless-cms-compatible-with-netlify-cms/</guid><description>Sveltia CMS is a Git-based headless CMS that rewrites Netlify CMS as a CDN-served SPA, offering improved i18n, mobile UX, and config compatibility for smooth migration.</description></item><item><title>SwarmVault: a local-first knowledge compiler with contradiction detection and hybrid search</title><link>https://ramdi.fr/github-stars/swarmvault-a-local-first-knowledge-compiler-with-contradiction-detection-and-hybrid-search/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/swarmvault-a-local-first-knowledge-compiler-with-contradiction-detection-and-hybrid-search/</guid><description>SwarmVault compiles raw sources into a persistent Markdown wiki with typed knowledge graph, hybrid search, and contradiction detection. It supports 16+ agents and offline use.</description></item><item><title>Tachyon: sub-50ns cross-language IPC with zero-copy shared memory</title><link>https://ramdi.fr/github-stars/tachyon-sub-50ns-cross-language-ipc-with-zero-copy-shared-memory/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tachyon-sub-50ns-cross-language-ipc-with-zero-copy-shared-memory/</guid><description>Tachyon delivers sub-50ns round-trip IPC latency across 8 languages using a zero-copy shared memory ring buffer. It supports direct tensor sharing with DLPack for ML pipelines.</description></item><item><title>tar1090: a layered web interface for ADS-B decoders on Raspberry Pi</title><link>https://ramdi.fr/github-stars/tar1090-a-layered-web-interface-for-ads-b-decoders-on-raspberry-pi/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tar1090-a-layered-web-interface-for-ads-b-decoders-on-raspberry-pi/</guid><description>tar1090 offers a non-disruptive web interface replacement for ADS-B decoders on Raspberry Pi, supporting multi-instance tracking and flexible views with a single-command install.</description></item><item><title>Tencent Hunyuan3D-Part: a two-stage pipeline for semantic 3D mesh part segmentation and generation</title><link>https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/</guid><description>Tencent&amp;rsquo;s Hunyuan3D-Part offers a two-model pipeline for 3D mesh part segmentation with P3-SAM and high-fidelity part generation via X-Part, targeting semantic mesh decomposition.</description></item><item><title>Tetro TUI: precise terminal tetromino gameplay with enhanced keyboard events in Rust</title><link>https://ramdi.fr/github-stars/tetro-tui-precise-terminal-tetromino-gameplay-with-enhanced-keyboard-events-in-rust/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tetro-tui-precise-terminal-tetromino-gameplay-with-enhanced-keyboard-events-in-rust/</guid><description>Tetro TUI is a Rust terminal tetromino game with advanced keyboard event handling via the kitty protocol, enabling precise DAS/ARR timing and rich customization in terminal environments.</description></item><item><title>tinyCore: An open-source ESP32-S3 educational development board with full hardware transparency</title><link>https://ramdi.fr/github-stars/tinycore-an-open-source-esp32-s3-educational-development-board-with-full-hardware-transparency/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tinycore-an-open-source-esp32-s3-educational-development-board-with-full-hardware-transparency/</guid><description>tinyCore offers a fully open hardware ESP32-S3 board designed for embedded systems education, with complete KiCad/Altium files, WiFi/BLE, IMU, and Arduino IDE support.</description></item><item><title>TinyPilot: building a browser-based KVM over IP with a Raspberry Pi and uStreamer</title><link>https://ramdi.fr/github-stars/tinypilot-building-a-browser-based-kvm-over-ip-with-a-raspberry-pi-and-ustreamer/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tinypilot-building-a-browser-based-kvm-over-ip-with-a-raspberry-pi-and-ustreamer/</guid><description>TinyPilot transforms a Raspberry Pi into a browser-based KVM over IP device using uStreamer and Flask-SocketIO for low-latency remote keyboard, video, and mouse control.</description></item><item><title>Trench: A production-ready event tracking system bundling Kafka and ClickHouse in one Docker image</title><link>https://ramdi.fr/github-stars/trench-a-production-ready-event-tracking-system-bundling-kafka-and-clickhouse-in-one-docker-image/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/trench-a-production-ready-event-tracking-system-bundling-kafka-and-clickhouse-in-one-docker-image/</guid><description>Trench packages Kafka, ClickHouse, and Node.js into a single Docker setup for real-time event tracking at thousands of events per second. Here&amp;rsquo;s how it works and how to try it.</description></item><item><title>Updo: Distributed multi-region uptime monitoring with Go and AWS Lambda</title><link>https://ramdi.fr/github-stars/updo-distributed-multi-region-uptime-monitoring-with-go-and-aws-lambda/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/updo-distributed-multi-region-uptime-monitoring-with-go-and-aws-lambda/</guid><description>Updo is a Go CLI tool for uptime monitoring that runs distributed checks across 13 AWS Lambda regions. It supports multi-target, concurrent HTTP checks with Prometheus integration and flexible output modes.</description></item><item><title>Usertour: A self-hosted user onboarding platform with a dual-license strategy</title><link>https://ramdi.fr/github-stars/usertour-a-self-hosted-user-onboarding-platform-with-a-dual-license-strategy/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/usertour-a-self-hosted-user-onboarding-platform-with-a-dual-license-strategy/</guid><description>Usertour is a TypeScript-based self-hosted user onboarding platform offering product tours, checklists, and surveys. It balances open source flexibility with enterprise features via a dual-license model.</description></item><item><title>Vibra Code: An open-source AI app builder with cloud sandboxes and native 60fps chat UI</title><link>https://ramdi.fr/github-stars/vibra-code-an-open-source-ai-app-builder-with-cloud-sandboxes-and-native-60fps-chat-ui/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/vibra-code-an-open-source-ai-app-builder-with-cloud-sandboxes-and-native-60fps-chat-ui/</guid><description>Vibra Code uses Claude Code in E2B cloud sandboxes with real-time sync and a native iOS chat UI rendering at 60fps off-main-thread. Open source AI app builder with multi-provider support.</description></item><item><title>Voice Clone Studio: unified modular web UI for multi-engine voice cloning and TTS</title><link>https://ramdi.fr/github-stars/voice-clone-studio-unified-modular-web-ui-for-multi-engine-voice-cloning-and-tts/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/voice-clone-studio-unified-modular-web-ui-for-multi-engine-voice-cloning-and-tts/</guid><description>Voice Clone Studio unifies multiple voice AI engines in a modular Gradio web UI. Supports voice cloning, multi-speaker dialogs, speech-to-speech, and LoRA fine-tuning with GPU or Apple Silicon.</description></item><item><title>watchtower: langgraph orchestration for automated pentesting workflows</title><link>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</guid><description>Watchtower orchestrates 23 security tools via a LangGraph multi-agent system for automated pentesting. It uses a Planner-Worker-Analyst pattern, SQLite state, and supports multiple LLM providers.</description></item><item><title>WhatsNewKit: streamlined feature announcement presentation for SwiftUI and Apple platforms</title><link>https://ramdi.fr/github-stars/whatsnewkit-streamlined-feature-announcement-presentation-for-swiftui-and-apple-platforms/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/whatsnewkit-streamlined-feature-announcement-presentation-for-swiftui-and-apple-platforms/</guid><description>WhatsNewKit offers a declarative SwiftUI-friendly way to present app update features automatically based on version tracking across iOS, macOS, and visionOS. Supports UIKit and AppKit too.</description></item><item><title>WhyHow Knowledge Graph Studio: building RAG-native knowledge graphs with MongoDB and OpenAI</title><link>https://ramdi.fr/github-stars/whyhow-knowledge-graph-studio-building-rag-native-knowledge-graphs-with-mongodb-and-openai/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/whyhow-knowledge-graph-studio-building-rag-native-knowledge-graphs-with-mongodb-and-openai/</guid><description>WhyHow Knowledge Graph Studio builds RAG-native knowledge graphs using MongoDB and OpenAI embeddings, offering flexible triple-based graph construction for AI workflows.</description></item><item><title>Windrecorder: a local-first screen recorder with multi-engine OCR indexing</title><link>https://ramdi.fr/github-stars/windrecorder-a-local-first-screen-recorder-with-multi-engine-ocr-indexing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/windrecorder-a-local-first-screen-recorder-with-multi-engine-ocr-indexing/</guid><description>Windrecorder captures screen activity on Windows, indexes it with multiple OCR engines locally, and offers a searchable rewind UI—all without cloud dependencies.</description></item><item><title>WinMux: a macOS window manager blending intent zones and tab groups for mouse-driven tiling</title><link>https://ramdi.fr/github-stars/winmux-a-macos-window-manager-blending-intent-zones-and-tab-groups-for-mouse-driven-tiling/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/winmux-a-macos-window-manager-blending-intent-zones-and-tab-groups-for-mouse-driven-tiling/</guid><description>WinMux is a Swift-based macOS window manager combining intent zones for drag-and-drop tiling with browser-like tab groups, offering a hybrid mouse-driven experience. It uses Aerospace backend and plans Yabai support.</description></item><item><title>WorldGrow: Hierarchical infinite 3D world synthesis with block-wise growth and coarse-to-fine refinement</title><link>https://ramdi.fr/github-stars/worldgrow-hierarchical-infinite-3d-world-synthesis-with-block-wise-growth-and-coarse-to-fine-refinement/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/worldgrow-hierarchical-infinite-3d-world-synthesis-with-block-wise-growth-and-coarse-to-fine-refinement/</guid><description>WorldGrow generates infinite 3D worlds via hierarchical block-wise synthesis with coarse-to-fine refinement, ensuring seamless, explorable environments for navigation and planning tasks.</description></item><item><title>Xplorer: A modern AI-native file manager built with Tauri, Rust, and React</title><link>https://ramdi.fr/github-stars/xplorer-a-modern-ai-native-file-manager-built-with-tauri-rust-and-react/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/xplorer-a-modern-ai-native-file-manager-built-with-tauri-rust-and-react/</guid><description>Xplorer is a Tauri-based desktop file manager integrating AI for semantic search, context-aware chat, and agentic file ops. Built with Rust backend and React frontend.</description></item><item><title>Zero Password Manager: a Flutter frontend with Python backend for secure credential management</title><link>https://ramdi.fr/github-stars/zero-password-manager-a-flutter-frontend-with-python-backend-for-secure-credential-management/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/zero-password-manager-a-flutter-frontend-with-python-backend-for-secure-credential-management/</guid><description>Zero Password Manager is an open-source project combining Flutter/Dart frontend with a Python backend to offer a secure, cross-platform password management solution. The repo balances UI flexibility and backend performance with a clear setup path.</description></item><item><title>Using an MCP server to query Meta Ads API for AI-driven ad insights</title><link>https://ramdi.fr/github-stars/using-an-mcp-server-to-query-meta-ads-api-for-ai-driven-ad-insights/</link><pubDate>Mon, 04 May 2026 10:18:38 +0000</pubDate><guid>https://ramdi.fr/github-stars/using-an-mcp-server-to-query-meta-ads-api-for-ai-driven-ad-insights/</guid><description>This Python MCP server wraps Meta&amp;rsquo;s Facebook Ads API into 20+ tools, letting AI agents query ad data conversationally. Setup is simple with a single server.py and token auth.</description></item><item><title>TokenTracker: a local-first CLI for aggregating token usage across AI coding agents</title><link>https://ramdi.fr/github-stars/tokentracker-a-local-first-cli-for-aggregating-token-usage-across-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:18:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tokentracker-a-local-first-cli-for-aggregating-token-usage-across-ai-coding-agents/</guid><description>TokenTracker is a local-first CLI tool that aggregates token usage and costs from 13 AI coding agents using a hook-based architecture and serves a local dashboard with detailed analytics.</description></item><item><title>Blueprint MCP: async AI diagram generation for code architecture visualization</title><link>https://ramdi.fr/github-stars/blueprint-mcp-async-ai-diagram-generation-for-code-architecture-visualization/</link><pubDate>Mon, 04 May 2026 10:17:20 +0000</pubDate><guid>https://ramdi.fr/github-stars/blueprint-mcp-async-ai-diagram-generation-for-code-architecture-visualization/</guid><description>Blueprint MCP is a Python MCP server that generates system diagrams from codebases asynchronously using Google&amp;rsquo;s Nano Banana Pro model, integrated with Arcade MCP and Cursor IDE.</description></item><item><title>LyricsX: extending LRC lyrics with word-level timing and multi-language support on macOS</title><link>https://ramdi.fr/github-stars/lyricsx-extending-lrc-lyrics-with-word-level-timing-and-multi-language-support-on-macos/</link><pubDate>Mon, 04 May 2026 10:16:50 +0000</pubDate><guid>https://ramdi.fr/github-stars/lyricsx-extending-lrc-lyrics-with-word-level-timing-and-multi-language-support-on-macos/</guid><description>LyricsX is a native macOS app that fetches and displays synchronized lyrics using LRCX, an extended LRC format with word-level timing and multi-language support.</description></item><item><title>Turning text into AI podcast episodes with a coding agent and Fish Audio TTS</title><link>https://ramdi.fr/github-stars/turning-text-into-ai-podcast-episodes-with-a-coding-agent-and-fish-audio-tts/</link><pubDate>Mon, 04 May 2026 10:16:09 +0000</pubDate><guid>https://ramdi.fr/github-stars/turning-text-into-ai-podcast-episodes-with-a-coding-agent-and-fish-audio-tts/</guid><description>personalized-podcast turns text or URLs into two-host AI podcast episodes using Claude Code for script writing and Fish Audio TTS for voice synthesis, all in a streamlined pipeline.</description></item><item><title>Rnote: Rust-powered vector drawing for handwritten notes with pressure sensitivity</title><link>https://ramdi.fr/github-stars/rnote-rust-powered-vector-drawing-for-handwritten-notes-with-pressure-sensitivity/</link><pubDate>Mon, 04 May 2026 10:15:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rnote-rust-powered-vector-drawing-for-handwritten-notes-with-pressure-sensitivity/</guid><description>Rnote is a Rust GTK4 desktop app for vector-based handwritten notes with stylus pressure sensitivity, infinite canvas, and evolving .rnote file format. It supports cross-platform installs and CLI automation.</description></item><item><title>Pirsch: server-side cookieless analytics with privacy-first fingerprinting</title><link>https://ramdi.fr/github-stars/pirsch-server-side-cookieless-analytics-with-privacy-first-fingerprinting/</link><pubDate>Mon, 04 May 2026 10:14:24 +0000</pubDate><guid>https://ramdi.fr/github-stars/pirsch-server-side-cookieless-analytics-with-privacy-first-fingerprinting/</guid><description>Pirsch is a Go-based server-side web analytics tool that uses fingerprinting without cookies, ensuring GDPR compliance and avoiding ad blockers. It stores data in ClickHouse.</description></item><item><title>Meridian: tackling AI session context loss with smart lifecycle hooks and project scaffolding</title><link>https://ramdi.fr/github-stars/meridian-tackling-ai-session-context-loss-with-smart-lifecycle-hooks-and-project-scaffolding/</link><pubDate>Mon, 04 May 2026 10:13:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/meridian-tackling-ai-session-context-loss-with-smart-lifecycle-hooks-and-project-scaffolding/</guid><description>Meridian is a Claude Code plugin that solves session context loss in long AI coding sessions using lifecycle hooks and a persistent project workspace. Here&amp;rsquo;s how it works and how to get started.</description></item><item><title>Alpaca MCP Server v2: Spec-driven MCP integration for trading APIs</title><link>https://ramdi.fr/github-stars/alpaca-mcp-server-v2-spec-driven-mcp-integration-for-trading-apis/</link><pubDate>Mon, 04 May 2026 10:13:18 +0000</pubDate><guid>https://ramdi.fr/github-stars/alpaca-mcp-server-v2-spec-driven-mcp-integration-for-trading-apis/</guid><description>Alpaca MCP Server v2 rewrites the official MCP server using FastMCP and OpenAPI tools, exposing Alpaca&amp;rsquo;s Trading API via MCP for AI clients with env-var config and toolset filtering.</description></item><item><title>wiiMac: booting PowerPC Mac OS X on Nintendo Wii hardware</title><link>https://ramdi.fr/github-stars/wiimac-booting-powerpc-mac-os-x-on-nintendo-wii-hardware/</link><pubDate>Mon, 04 May 2026 10:12:30 +0000</pubDate><guid>https://ramdi.fr/github-stars/wiimac-booting-powerpc-mac-os-x-on-nintendo-wii-hardware/</guid><description>wiiMac enables PowerPC Mac OS X (10.0-10.5) to boot natively on Nintendo Wii using a custom bootloader with patched kernels and drivers. A deep dive into its architecture, challenges, and setup.</description></item><item><title>Unifying AI coding assistant rules with awesome-rules and rules-cli</title><link>https://ramdi.fr/github-stars/unifying-ai-coding-assistant-rules-with-awesome-rules-and-rules-cli/</link><pubDate>Mon, 04 May 2026 10:11:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/unifying-ai-coding-assistant-rules-with-awesome-rules-and-rules-cli/</guid><description>awesome-rules standardizes AI coding assistant rules with markdown+YAML and translates formats via rules-cli, easing multi-assistant compatibility.</description></item><item><title>unslop: empirically detecting and avoiding repetitive LLM output patterns</title><link>https://ramdi.fr/github-stars/unslop-empirically-detecting-and-avoiding-repetitive-llm-output-patterns/</link><pubDate>Mon, 04 May 2026 10:11:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/unslop-empirically-detecting-and-avoiding-repetitive-llm-output-patterns/</guid><description>unslop is a Python CLI tool that detects repetitive defaults in LLM outputs by empirical analysis, generating reusable anti-pattern profiles to improve prompt engineering.</description></item><item><title>Tegaki: client-side handwriting animation from fonts without native dependencies</title><link>https://ramdi.fr/github-stars/tegaki-client-side-handwriting-animation-from-fonts-without-native-dependencies/</link><pubDate>Mon, 04 May 2026 10:10:22 +0000</pubDate><guid>https://ramdi.fr/github-stars/tegaki-client-side-handwriting-animation-from-fonts-without-native-dependencies/</guid><description>Tegaki renders handwriting animations from fonts entirely client-side without native dependencies. It parses font glyphs into stroke animations with natural timing and supports multiple frameworks.</description></item><item><title>Apify MCP Server: Enabling autonomous AI agent payments for web automation tools</title><link>https://ramdi.fr/github-stars/apify-mcp-server-enabling-autonomous-ai-agent-payments-for-web-automation-tools/</link><pubDate>Mon, 04 May 2026 10:09:30 +0000</pubDate><guid>https://ramdi.fr/github-stars/apify-mcp-server-enabling-autonomous-ai-agent-payments-for-web-automation-tools/</guid><description>Apify MCP Server exposes 8,000+ web automation tools as MCP tools to AI agents, featuring agentic payments allowing autonomous crypto payments for tool execution. Supports HTTPS and local modes.</description></item><item><title>AI penetration testing knowledge base: structured resources for LLM security research</title><link>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</link><pubDate>Mon, 04 May 2026 10:09:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</guid><description>A curated repository for AI/LLM penetration testing covering prompt injection, adversarial ML, and LLM red teaming with the OWASP LLM Top 10 framework.</description></item><item><title>AgenticAiLabs AI Engineering Roadmap: A modular curriculum for self-taught AI engineers</title><link>https://ramdi.fr/github-stars/agenticailabs-ai-engineering-roadmap-a-modular-curriculum-for-self-taught-ai-engineers/</link><pubDate>Mon, 04 May 2026 10:08:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/agenticailabs-ai-engineering-roadmap-a-modular-curriculum-for-self-taught-ai-engineers/</guid><description>AgenticAiLabs AI Engineering Roadmap offers a modular, community-curated curriculum for self-taught AI engineers, covering from fundamentals to advanced AI topics like LLMs and RAG.</description></item><item><title/><link>https://ramdi.fr/github-stars/article-1121/</link><pubDate>Mon, 04 May 2026 10:07:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/article-1121/</guid><description>&lt;p>&lt;a href="https://github.com/ultraworkers/claw-code">&lt;img src="https://opengraph.githubassets.com/1/ultraworkers/claw-code" alt="ultraworkers/claw-code">&lt;/a>&lt;/p>
&lt;p>{&amp;ldquo;reasoning&amp;rdquo;:&amp;ldquo;The claw-code repository is a Rust-based CLI agent harness designed for interacting with large language model APIs like Anthropic and OpenAI. Its architecture revolves around a Rust workspace with a CLI that authenticates via API keys. What really sets claw-code apart is its approach to testing: it uses a mock parity harness that simulates LLM responses deterministically, allowing developers to verify agent behavior without invoking live APIs. This is a practical and often overlooked pattern for building reliable AI tooling, as hitting live endpoints during tests is slow, flaky, and costly. The repo also features a health-check command to validate environment setup before running prompts, which is good for developer experience. The tradeoffs are clear: no shipped daemon support yet, and building from source is mandatory (the crates.io package is deprecated). This makes claw-code more suitable for Rust-savvy developers comfortable with building from source and managing API keys securely.\n\nThe quick start instructions provided in the README are detailed and explicit about Windows setup, Rust installation, and running the CLI with environment variables. This allows a straightforward onboarding path for users willing to build from source.\n\nGiven the repo&amp;rsquo;s focus and approach, the article should emphasize the unique testing harness, the Rust CLI architecture, and the explicit build process, noting the limitations and the roadmap state. The tone is practitioner-focused, straightforward, and honest about the tradeoffs and current state of the project.&amp;rdquo;,&amp;ldquo;title&amp;rdquo;:&amp;ldquo;claw-code: a Rust CLI agent harness with deterministic mock testing for AI agent toolchains&amp;rdquo;,&amp;ldquo;slug_hint&amp;rdquo;:&amp;ldquo;claw-code-rust-cli-agent-mock-testing&amp;rdquo;,&amp;ldquo;summary&amp;rdquo;:&amp;ldquo;claw-code is a Rust CLI agent harness that uses API key authentication and a mock parity harness for deterministic AI agent testing without live LLM calls.&amp;rdquo;,&amp;ldquo;content&amp;rdquo;:&amp;ldquo;claw-code is a Rust workspace implementing a CLI agent harness designed to interact with large language model (LLM) APIs such as Anthropic&amp;rsquo;s Claude and OpenAI&amp;rsquo;s GPT models. Unlike many AI agent tools that rely on subscription logins or prebuilt binaries, claw-code authenticates exclusively through provider API keys (e.g., ANTHROPIC_API_KEY, OPENAI_API_KEY) and requires building the project from source. This approach puts more control in the developer&amp;rsquo;s hands but also demands familiarity with Rust and cargo.\n\n## what claw-code does and how it&amp;rsquo;s built\n\nAt its core, claw-code provides a command-line interface for running AI agent prompts against supported LLM providers. The project is structured as a Rust workspace located in the &lt;code>rust/&lt;/code> directory of the repository, encompassing multiple crates that implement the CLI, API integrations, and testing harnesses.\n\nInstead of distributing a precompiled binary, the repository expects users to clone and build the source locally. The official &lt;code>claw-code&lt;/code> crate on crates.io is deprecated and only installs a stub that points to another upstream project called &lt;code>agent-code&lt;/code>. This repo&amp;rsquo;s CLI binary, &lt;code>claw.exe&lt;/code> (or &lt;code>claw&lt;/code> on Unix), is distinct and must be built manually.\n\nAuthentication is handled via environment variables that hold API keys. This avoids the complexity and friction of subscription login flows and makes it suitable for automated, headless use cases. The CLI also includes a &lt;code>doctor&lt;/code> command, which performs a health check verifying that API keys are valid, models are accessible, and tools are correctly configured before running prompts. This improves developer experience by catching configuration issues early.\n\nThe repo also includes companion Python reference code and tests in the &lt;code>src/&lt;/code> and &lt;code>tests/&lt;/code> directories, but the primary runtime and interface surface is the Rust workspace.\n\n## how claw-code handles testing with a mock parity harness\n\nOne of the more notable technical choices in claw-code is the use of a mock parity harness to enable deterministic testing of AI agent workflows without making actual API calls to LLM providers. Given the variability and cost of live LLM calls, this approach is practical for ensuring repeatable and reliable tests.\n\nThe mock parity harness simulates the behavior of the LLM providers by returning pre-recorded or predetermined responses. This allows the developers to validate that the agent harness implements its logic correctly and that new changes do not break expected behavior.\n\nThe repository maintains a separate document, PARITY.md, which tracks the progress of achieving feature parity between the Rust implementation and the reference implementations. This transparency helps contributors understand the current state and what remains to be done.\n\nThis testing strategy trades off the lack of live API validation for speed, determinism, and cost savings. It&amp;rsquo;s worth understanding even if you don&amp;rsquo;t adopt this particular project, as deterministic mocks are a pattern that can improve DX and reliability in AI agent development.\n\n## building and running claw-code\n\nThe README provides explicit instructions for building and running claw-code, especially on Windows, but the process is similar on Unix-like systems.\n\nImportant notes include a warning not to use &lt;code>cargo install claw-code&lt;/code>, which installs a deprecated stub rather than the actual CLI. Instead, users should build from source or install the upstream &lt;code>agent-code&lt;/code> binary if they want a prebuilt option.\n\nHere is the quick start snippet from the README, showing the typical build and run steps:\n\n&lt;code>bash\n### Windows setup\n\n**PowerShell is a supported Windows path.** Use whichever shell works for you. The common onboarding issues on Windows are:\n\n1. **Install Rust first** — download from and run the installer. Close and reopen your terminal when it finishes.\n2. **Verify Rust is on PATH:**\n &lt;/code>powershell\n cargo &amp;ndash;version\n &lt;code>\n If this fails, reopen your terminal or run the PATH setup from the Rust installer output, then retry.\n3. **Clone and build** (works in PowerShell, Git Bash, or WSL):\n &lt;/code>powershell\n git clone &lt;a href="https://github.com/ultraworkers/claw-code">https://github.com/ultraworkers/claw-code&lt;/a>\n cd claw-code/rust\n cargo build &amp;ndash;workspace\n &lt;code>\n4. **Run** (PowerShell — note `.exe` and backslash):\n &lt;/code>powershell\n $env:ANTHROPIC_API_KEY = &amp;quot;sk-ant-&amp;hellip;&amp;quot;\n .\target\debug\claw.exe prompt &amp;quot;say hello&amp;quot;\n &lt;code>\n&lt;/code>\n\nThis process highlights that claw-code is aimed at users comfortable with Rust tooling and manual environment setup.\n\n## verdict\n\nclaw-code is a solid Rust CLI agent harness for developers building AI agent workflows with direct API key authentication. Its standout feature is the mock parity harness that enables deterministic and cost-effective testing without hitting live LLM endpoints — a pattern worth understanding for anyone working on AI tooling.\n\nThe need to build from source and the lack of shipped daemon support means it&amp;rsquo;s not a plug-and-play solution for casual users or those wanting quick binaries. Instead, claw-code fits developers who want tight control, are comfortable with Rust, and value reproducible testing in AI agent development.\n\nIf you are building Rust-based AI agents or exploring AI CLI tooling, claw-code offers a transparent and practical example of how to maintain parity with live APIs while ensuring reliable tests. Its health-check diagnostics and explicit API key model align well with production usage patterns where API keys are standard.\n\n&lt;/p></description></item><item><title>Google Maps Scraper: navigating the fragility of XPath-based browser automation</title><link>https://ramdi.fr/github-stars/google-maps-scraper-navigating-the-fragility-of-xpath-based-browser-automation/</link><pubDate>Mon, 04 May 2026 10:07:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/google-maps-scraper-navigating-the-fragility-of-xpath-based-browser-automation/</guid><description>A Python Playwright scraper automates Google Maps data extraction using XPath selectors. It reveals the real maintenance cost of brittle DOM scraping and dependency pinning.</description></item><item><title>hermes-hudui: a TypeScript web UI for interacting with the Hermes AI agent</title><link>https://ramdi.fr/github-stars/hermes-hudui-a-typescript-web-ui-for-interacting-with-the-hermes-ai-agent/</link><pubDate>Mon, 04 May 2026 10:06:27 +0000</pubDate><guid>https://ramdi.fr/github-stars/hermes-hudui-a-typescript-web-ui-for-interacting-with-the-hermes-ai-agent/</guid><description>hermes-hudui provides a TypeScript-based web UI to interact with the Hermes AI agent, offering real-time data visualization and control. Setup requires Python 3.11+, Node.js 18+, and a running Hermes agent.</description></item><item><title>Inside llm_wiki: a desktop app for building persistent LLM-powered personal wikis</title><link>https://ramdi.fr/github-stars/inside-llm-wiki-a-desktop-app-for-building-persistent-llm-powered-personal-wikis/</link><pubDate>Mon, 04 May 2026 10:05:49 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-llm-wiki-a-desktop-app-for-building-persistent-llm-powered-personal-wikis/</guid><description>llm_wiki uses a two-step chain-of-thought pipeline to build a self-maintaining knowledge base. It combines Tauri, knowledge graphs, and Louvain clustering for a unique personal wiki experience.</description></item><item><title>Be More Agent: offline-first conversational AI on Raspberry Pi with hardware-aware audio handling</title><link>https://ramdi.fr/github-stars/be-more-agent-offline-first-conversational-ai-on-raspberry-pi-with-hardware-aware-audio-handling/</link><pubDate>Mon, 04 May 2026 10:04:45 +0000</pubDate><guid>https://ramdi.fr/github-stars/be-more-agent-offline-first-conversational-ai-on-raspberry-pi-with-hardware-aware-audio-handling/</guid><description>Be More Agent is an offline-first conversational AI framework for Raspberry Pi, combining local LLM inference with hardware-aware audio resampling to handle ALSA quirks. Runs 100% locally.</description></item><item><title>ROMP: from real-time monocular 3D human mesh recovery to temporal tracking with dynamic cameras</title><link>https://ramdi.fr/github-stars/romp-from-real-time-monocular-3d-human-mesh-recovery-to-temporal-tracking-with-dynamic-cameras/</link><pubDate>Mon, 04 May 2026 10:03:52 +0000</pubDate><guid>https://ramdi.fr/github-stars/romp-from-real-time-monocular-3d-human-mesh-recovery-to-temporal-tracking-with-dynamic-cameras/</guid><description>ROMP evolves monocular multi-person 3D mesh recovery from single-frame regression to temporal tracking under dynamic cameras, packaged with ONNX acceleration and Docker support.</description></item><item><title>Inside the Wayback Machine Web Extension: transparent archival fallback in your browser</title><link>https://ramdi.fr/github-stars/inside-the-wayback-machine-web-extension-transparent-archival-fallback-in-your-browser/</link><pubDate>Mon, 04 May 2026 10:03:06 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-wayback-machine-web-extension-transparent-archival-fallback-in-your-browser/</guid><description>Explore the Wayback Machine Web Extension&amp;rsquo;s architecture and its clever HTTP error interception that automatically redirects 404 pages to archived snapshots for seamless browsing.</description></item><item><title>Exploring the awesome-design-systems repo: a curated catalog of enterprise and open-source design systems</title><link>https://ramdi.fr/github-stars/exploring-the-awesome-design-systems-repo-a-curated-catalog-of-enterprise-and-open-source-design-systems/</link><pubDate>Mon, 04 May 2026 10:02:24 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-awesome-design-systems-repo-a-curated-catalog-of-enterprise-and-open-source-design-systems/</guid><description>A curated catalog of 50+ design systems from major enterprises, governments, and open source. Discover how top design systems structure components, tokens, and voice guidelines.</description></item><item><title>BetterVR: a Vulkan layer mod enabling true stereoscopic 6DOF VR for Breath of the Wild</title><link>https://ramdi.fr/github-stars/bettervr-a-vulkan-layer-mod-enabling-true-stereoscopic-6dof-vr-for-breath-of-the-wild/</link><pubDate>Mon, 04 May 2026 10:01:37 +0000</pubDate><guid>https://ramdi.fr/github-stars/bettervr-a-vulkan-layer-mod-enabling-true-stereoscopic-6dof-vr-for-breath-of-the-wild/</guid><description>BetterVR hooks into Cemu&amp;rsquo;s Vulkan pipeline to deliver true stereoscopic 6DOF VR for Breath of the Wild using Vulkan-D3D12 interop and OpenXR, without modifying game data.</description></item><item><title>Symphony: orchestrating autonomous coding agents with work-level management</title><link>https://ramdi.fr/github-stars/symphony-orchestrating-autonomous-coding-agents-with-work-level-management/</link><pubDate>Sun, 03 May 2026 11:08:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/symphony-orchestrating-autonomous-coding-agents-with-work-level-management/</guid><description>Symphony by OpenAI orchestrates autonomous coding agents via work boards and proof-of-work validation, shifting AI coding from direct supervision to task-level management.</description></item><item><title>witr: tracing the full causality chain of running processes in Go</title><link>https://ramdi.fr/github-stars/witr-tracing-the-full-causality-chain-of-running-processes-in-go/</link><pubDate>Sun, 03 May 2026 11:08:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/witr-tracing-the-full-causality-chain-of-running-processes-in-go/</guid><description>witr is a Go CLI that traces the full causality chain of any running process, replacing fragmented commands with a single interactive tool across Linux, macOS, FreeBSD, and Windows.</description></item><item><title>Building a production-ready second brain with agentic RAG and LLMOps</title><link>https://ramdi.fr/github-stars/building-a-production-ready-second-brain-with-agentic-rag-and-llmops/</link><pubDate>Sun, 03 May 2026 08:12:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-production-ready-second-brain-with-agentic-rag-and-llmops/</guid><description>Explore an open-source course that teaches building a production-grade AI assistant using advanced retrieval-augmented generation, agent orchestration, fine-tuning, and LLMOps practices.</description></item><item><title>Navigating free-tier LLM APIs with the awesome-free-llm-apis catalog</title><link>https://ramdi.fr/github-stars/navigating-free-tier-llm-apis-with-the-awesome-free-llm-apis-catalog/</link><pubDate>Sun, 03 May 2026 08:12:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-free-tier-llm-apis-with-the-awesome-free-llm-apis-catalog/</guid><description>A curated catalog of free-tier LLM APIs compatible with OpenAI SDK, detailing rate limits, model specs, and providers to build zero-cost AI applications.</description></item><item><title>A-MEM: dynamic semantic memory management for LLM agents inspired by Zettelkasten</title><link>https://ramdi.fr/github-stars/a-mem-dynamic-semantic-memory-management-for-llm-agents-inspired-by-zettelkasten/</link><pubDate>Sun, 03 May 2026 00:54:10 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-mem-dynamic-semantic-memory-management-for-llm-agents-inspired-by-zettelkasten/</guid><description>A-MEM is a Python agentic memory system that dynamically organizes LLM agent memories using semantic embeddings and automatic linking, inspired by Zettelkasten.</description></item><item><title>elizaOS: a TypeScript monorepo for building and deploying AI agents</title><link>https://ramdi.fr/github-stars/elizaos-a-typescript-monorepo-for-building-and-deploying-ai-agents/</link><pubDate>Sat, 02 May 2026 20:52:17 +0000</pubDate><guid>https://ramdi.fr/github-stars/elizaos-a-typescript-monorepo-for-building-and-deploying-ai-agents/</guid><description>Explore elizaOS, a TypeScript monorepo for AI agents with CLI and web UI. Build and deploy agents fast or extend with plugins using Bun and Vite.</description></item><item><title>Open Design: repurposing coding-agent CLIs into a modular local-first design engine</title><link>https://ramdi.fr/github-stars/open-design-repurposing-coding-agent-clis-into-a-modular-local-first-design-engine/</link><pubDate>Sat, 02 May 2026 20:48:38 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-design-repurposing-coding-agent-clis-into-a-modular-local-first-design-engine/</guid><description>Open Design turns 12 coding-agent CLIs into a deterministic design engine with 31 composable skills and 72+ design systems, running locally with sandboxed previews and multi-format export.</description></item><item><title>CrewAI: A lean Python framework for orchestrating autonomous AI agents with precise control</title><link>https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/</link><pubDate>Sat, 02 May 2026 20:17:54 +0000</pubDate><guid>https://ramdi.fr/github-stars/crewai-a-lean-python-framework-for-orchestrating-autonomous-ai-agents-with-precise-control/</guid><description>CrewAI is a Python framework for autonomous AI agents emphasizing speed, flexibility, and precise control through &amp;lsquo;Crews&amp;rsquo; and &amp;lsquo;Flows&amp;rsquo;. It offers enterprise features for production-grade AI orchestration.</description></item><item><title>LobeHub: An extensible AI agent playground with MCP plugin architecture</title><link>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</link><pubDate>Sat, 02 May 2026 20:15:49 +0000</pubDate><guid>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</guid><description>LobeHub offers a TypeScript-based AI agent platform with a unique MCP plugin system for integrating 10,000+ skills and collaborative multi-agent workflows. Explore its architecture and developer experience.</description></item><item><title>nix-on-droid: running the Nix package manager on unrooted Android devices</title><link>https://ramdi.fr/github-stars/nix-on-droid-running-the-nix-package-manager-on-unrooted-android-devices/</link><pubDate>Sat, 02 May 2026 20:14:46 +0000</pubDate><guid>https://ramdi.fr/github-stars/nix-on-droid-running-the-nix-package-manager-on-unrooted-android-devices/</guid><description>nix-on-droid brings the Nix package manager to Android using proot and a modified Termux environment, enabling declarative software management without root access.</description></item><item><title>Home Manager: declarative user environment management with Nix</title><link>https://ramdi.fr/github-stars/home-manager-declarative-user-environment-management-with-nix/</link><pubDate>Sat, 02 May 2026 20:14:43 +0000</pubDate><guid>https://ramdi.fr/github-stars/home-manager-declarative-user-environment-management-with-nix/</guid><description>Home Manager uses Nix to declaratively manage user packages and dotfiles, extending NixOS benefits to individual environments. It demands Nix expertise but offers reproducibility.</description></item><item><title>Composer: Under the hood of PHP’s dependency manager and its solver</title><link>https://ramdi.fr/github-stars/composer-under-the-hood-of-phps-dependency-manager-and-its-solver/</link><pubDate>Sat, 02 May 2026 20:14:09 +0000</pubDate><guid>https://ramdi.fr/github-stars/composer-under-the-hood-of-phps-dependency-manager-and-its-solver/</guid><description>Composer is the standard dependency manager for PHP projects, featuring a unique dependency solver ported from openSUSE&amp;rsquo;s Libzypp satsolver. Here’s a technical look under the hood.</description></item><item><title>Deep dive into Doctrine ORM and its Doctrine Query Language (DQL) for PHP developers</title><link>https://ramdi.fr/github-stars/deep-dive-into-doctrine-orm-and-its-doctrine-query-language-dql-for-php-developers/</link><pubDate>Sat, 02 May 2026 20:13:30 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-dive-into-doctrine-orm-and-its-doctrine-query-language-dql-for-php-developers/</guid><description>Doctrine ORM offers PHP developers a robust object-relational mapper with an object-oriented query language (DQL) that eases database interactions. Discover its architecture, strengths, and how to navigate the repo.</description></item><item><title>90DaysOfDevOps: A comprehensive community-driven journey into foundational DevOps and DevSecOps</title><link>https://ramdi.fr/github-stars/90daysofdevops-a-comprehensive-community-driven-journey-into-foundational-devops-and-devsecops/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/90daysofdevops-a-comprehensive-community-driven-journey-into-foundational-devops-and-devsecops/</guid><description>90DaysOfDevOps is a community-driven repository chronicling a 90-day foundational DevOps and DevSecOps learning journey with 110k words and 90 sessions, emphasizing open source and collaborative learning.</description></item><item><title>A hands-on course for mastering large language models: fine-tuning, quantization, and tooling</title><link>https://ramdi.fr/github-stars/a-hands-on-course-for-mastering-large-language-models-fine-tuning-quantization-and-tooling/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-hands-on-course-for-mastering-large-language-models-fine-tuning-quantization-and-tooling/</guid><description>Explore a comprehensive LLM course with practical notebooks on fine-tuning (QLoRA, DPO), quantization (GPTQ), and tools like AutoEval and LazyMergekit. Ideal for aspiring LLM engineers.</description></item><item><title>AgentGPT: building autonomous AI agents with a full-stack web platform</title><link>https://ramdi.fr/github-stars/agentgpt-building-autonomous-ai-agents-with-a-full-stack-web-platform/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentgpt-building-autonomous-ai-agents-with-a-full-stack-web-platform/</guid><description>AgentGPT offers a full-stack solution to deploy autonomous AI agents in the browser using Next.js, FastAPI, and Langchain, with a streamlined CLI for setup and deployment.</description></item><item><title>Agno: Building production-ready agentic software with minimal code</title><link>https://ramdi.fr/github-stars/agno-building-production-ready-agentic-software-with-minimal-code/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/agno-building-production-ready-agentic-software-with-minimal-code/</guid><description>Agno provides a minimal, production-ready Python framework for scalable agentic software with per-user isolation and native tracing in ~20 lines of code.</description></item><item><title>AIHawk: An open-source AI agent tackling automated job applications under copyright constraints</title><link>https://ramdi.fr/github-stars/aihawk-an-open-source-ai-agent-tackling-automated-job-applications-under-copyright-constraints/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/aihawk-an-open-source-ai-agent-tackling-automated-job-applications-under-copyright-constraints/</guid><description>AIHawk offers an open-source AI agent that automates job applications. Its architecture balances open AI automation with the legal realities of third-party integrations.</description></item><item><title>annotated_deep_learning_paper_implementations: annotated PyTorch implementations of key deep learning papers</title><link>https://ramdi.fr/github-stars/annotated-deep-learning-paper-implementations-annotated-pytorch-implementations-of-key-deep-learning-papers/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/annotated-deep-learning-paper-implementations-annotated-pytorch-implementations-of-key-deep-learning-papers/</guid><description>This repo provides annotated PyTorch implementations of major deep learning papers with side-by-side explanations, aiding understanding and prototyping.</description></item><item><title>Appsmith: a low-code platform with integrated agentic AI for custom business apps</title><link>https://ramdi.fr/github-stars/appsmith-a-low-code-platform-with-integrated-agentic-ai-for-custom-business-apps/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/appsmith-a-low-code-platform-with-integrated-agentic-ai-for-custom-business-apps/</guid><description>Appsmith is an open-source low-code platform for building custom business apps, enhanced with agentic AI that uses private data for context-aware automation and self-hosting options.</description></item><item><title>Appwrite: a self-hostable backend platform that abstracts backend complexity</title><link>https://ramdi.fr/github-stars/appwrite-a-self-hostable-backend-platform-that-abstracts-backend-complexity/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/appwrite-a-self-hostable-backend-platform-that-abstracts-backend-complexity/</guid><description>Appwrite offers a unified backend platform with authentication, databases, serverless functions, and hosting. It supports containerized deployments and 15 runtimes for functions.</description></item><item><title>AutoScraper: simplifying web scraping through example-driven rule learning</title><link>https://ramdi.fr/github-stars/autoscraper-simplifying-web-scraping-through-example-driven-rule-learning/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoscraper-simplifying-web-scraping-through-example-driven-rule-learning/</guid><description>AutoScraper automates web scraping by learning extraction rules from sample data, avoiding manual CSS selectors. This Python tool eases scraping repetitive, similar web content.</description></item><item><title>awesome-go: a curated gateway to the Go ecosystem's diverse libraries and tools</title><link>https://ramdi.fr/github-stars/awesome-go-a-curated-gateway-to-the-go-ecosystem-s-diverse-libraries-and-tools/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-go-a-curated-gateway-to-the-go-ecosystem-s-diverse-libraries-and-tools/</guid><description>awesome-go is a community-driven curated list of Go frameworks and libraries, highlighting the language&amp;rsquo;s breadth from core tools to emerging AI projects. Essential for Go developers exploring the ecosystem.</description></item><item><title>awesome-laravel: a curated guide to the Laravel ecosystem and development setups</title><link>https://ramdi.fr/github-stars/awesome-laravel-a-curated-guide-to-the-laravel-ecosystem-and-development-setups/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-laravel-a-curated-guide-to-the-laravel-ecosystem-and-development-setups/</guid><description>awesome-laravel compiles a curated list of Laravel packages, tools, and environment setups, helping developers navigate the growing Laravel ecosystem efficiently.</description></item><item><title>awesome-nix: a curated gateway to the Nix package manager and NixOS ecosystem</title><link>https://ramdi.fr/github-stars/awesome-nix-a-curated-gateway-to-the-nix-package-manager-and-nixos-ecosystem/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-nix-a-curated-gateway-to-the-nix-package-manager-and-nixos-ecosystem/</guid><description>awesome-nix collects essential resources for mastering the Nix package manager and NixOS, highlighting reproducible builds and declarative system management.</description></item><item><title>awesome-sysadmin: a curated gateway to open-source sysadmin tools</title><link>https://ramdi.fr/github-stars/awesome-sysadmin-a-curated-gateway-to-open-source-sysadmin-tools/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-sysadmin-a-curated-gateway-to-open-source-sysadmin-tools/</guid><description>awesome-sysadmin is a curated list of free and open-source sysadmin tools, categorized for easy navigation across automation, backups, cloud, and more. A valuable reference for infrastructure pros.</description></item><item><title>awesome-web-scraping: a curated hub for web scraping tools and resources</title><link>https://ramdi.fr/github-stars/awesome-web-scraping-a-curated-hub-for-web-scraping-tools-and-resources/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-web-scraping-a-curated-hub-for-web-scraping-tools-and-resources/</guid><description>A comprehensive, multi-language curated list of web scraping tools, services, and resources that acts as a vital reference for developers building scraping infrastructure.</description></item><item><title>Bagisto: A Laravel-based e-commerce platform embracing AI and decentralized commerce</title><link>https://ramdi.fr/github-stars/bagisto-a-laravel-based-e-commerce-platform-embracing-ai-and-decentralized-commerce/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/bagisto-a-laravel-based-e-commerce-platform-embracing-ai-and-decentralized-commerce/</guid><description>Bagisto is an open-source Laravel and Vue.js e-commerce platform that integrates AI-powered features and blockchain for decentralized commerce. A practical look under the hood.</description></item><item><title>BookStack: a pragmatic Laravel-based documentation platform focused on stability and ease of use</title><link>https://ramdi.fr/github-stars/bookstack-a-pragmatic-laravel-based-documentation-platform-focused-on-stability-and-ease-of-use/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/bookstack-a-pragmatic-laravel-based-documentation-platform-focused-on-stability-and-ease-of-use/</guid><description>BookStack is a PHP/Laravel documentation platform emphasizing user-friendliness and stable upgrades, balancing modern framework features with practical maintainability.</description></item><item><title>build-your-own-x: learning foundational software by building it from scratch</title><link>https://ramdi.fr/github-stars/build-your-own-x-learning-foundational-software-by-building-it-from-scratch/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/build-your-own-x-learning-foundational-software-by-building-it-from-scratch/</guid><description>The build-your-own-x repo offers step-by-step tutorials to re-implement core technologies across domains, fostering deep understanding through hands-on coding.</description></item><item><title>Bureautix: Secure office workstations managed as code with NixOS and Git</title><link>https://ramdi.fr/github-stars/bureautix-secure-office-workstations-managed-as-code-with-nixos-and-git/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/bureautix-secure-office-workstations-managed-as-code-with-nixos-and-git/</guid><description>Bureautix offers a minimal-infrastructure approach to secure office workstations using NixOS, Secure Boot, and FIDO2 MFA, managing user directories as code distributed via Git.</description></item><item><title>Cachet status page: a modern Laravel-based self-hosted status monitoring system</title><link>https://ramdi.fr/github-stars/cachet-status-page-a-modern-laravel-based-self-hosted-status-monitoring-system/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/cachet-status-page-a-modern-laravel-based-self-hosted-status-monitoring-system/</guid><description>Cachet is a self-hosted status page system built with Laravel and PHP 8.2+. It supports multiple databases and is undergoing a 3.x rewrite. Here&amp;rsquo;s an architectural and code quality overview.</description></item><item><title>Caddy: a dynamic, extensible Go web server focused on automatic HTTPS and modularity</title><link>https://ramdi.fr/github-stars/caddy-a-dynamic-extensible-go-web-server-focused-on-automatic-https-and-modularity/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/caddy-a-dynamic-extensible-go-web-server-focused-on-automatic-https-and-modularity/</guid><description>Caddy is an extensible Go web server with automatic HTTPS, dynamic API-driven config, and modular architecture, designed for high-scale production use.</description></item><item><title>Camoufox: a stealthy Firefox fork for AI agents and web scraping</title><link>https://ramdi.fr/github-stars/camoufox-a-stealthy-firefox-fork-for-ai-agents-and-web-scraping/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/camoufox-a-stealthy-firefox-fork-for-ai-agents-and-web-scraping/</guid><description>Camoufox is a Firefox fork optimized for AI agents and web scraping with stealth fingerprint injection at the C++ level and Python API support.</description></item><item><title>Colly: high-performance web scraping in Go with concurrency and ease</title><link>https://ramdi.fr/github-stars/colly-high-performance-web-scraping-in-go-with-concurrency-and-ease/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/colly-high-performance-web-scraping-in-go-with-concurrency-and-ease/</guid><description>Colly is a Go web scraping framework offering fast, concurrent crawlers with a clean API. It handles cookies, sessions, delays, and caching, suited for data mining and archiving.</description></item><item><title>Colmena: A stateless, Rust-based deployment tool for NixOS with Nix Flakes support</title><link>https://ramdi.fr/github-stars/colmena-a-stateless-rust-based-deployment-tool-for-nixos-with-nix-flakes-support/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/colmena-a-stateless-rust-based-deployment-tool-for-nixos-with-nix-flakes-support/</guid><description>Colmena is a lightweight Rust tool for stateless, parallel NixOS deployments using Nix Flakes. It wraps core Nix commands to manage multiple hosts efficiently.</description></item><item><title>Coolify: a self-hostable PaaS that avoids vendor lock-in by design</title><link>https://ramdi.fr/github-stars/coolify-a-self-hostable-paas-that-avoids-vendor-lock-in-by-design/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/coolify-a-self-hostable-paas-that-avoids-vendor-lock-in-by-design/</guid><description>Coolify is an open-source, self-hostable PaaS alternative that saves all configs on your server, avoiding vendor lock-in and enabling independent management of apps and databases.</description></item><item><title>Crawlee Python: a flexible dual-crawler framework for web scraping and automation</title><link>https://ramdi.fr/github-stars/crawlee-python-a-flexible-dual-crawler-framework-for-web-scraping-and-automation/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/crawlee-python-a-flexible-dual-crawler-framework-for-web-scraping-and-automation/</guid><description>Crawlee Python offers a dual approach to web scraping with lightweight HTML parsing and headless browser automation, balancing speed and interactivity for diverse scraping needs.</description></item><item><title>Crawlee: a TypeScript library for stealthy web scraping and browser automation</title><link>https://ramdi.fr/github-stars/crawlee-a-typescript-library-for-stealthy-web-scraping-and-browser-automation/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/crawlee-a-typescript-library-for-stealthy-web-scraping-and-browser-automation/</guid><description>Crawlee is a TypeScript library for web scraping and browser automation with human-like stealth. Supports Playwright, Puppeteer, proxy rotation, and persistent queues.</description></item><item><title>Deep dive into DataDog's PHP tracer: architecture, strengths, and setup</title><link>https://ramdi.fr/github-stars/deep-dive-into-datadog-s-php-tracer-architecture-strengths-and-setup/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-dive-into-datadog-s-php-tracer-architecture-strengths-and-setup/</guid><description>DataDog&amp;rsquo;s dd-trace-php brings APM and distributed tracing to PHP apps with Rust-powered precision. We explore its architecture, technical strengths, and installation steps.</description></item><item><title>Deep dive into laravel-debugbar: Laravel’s integrated debugging companion</title><link>https://ramdi.fr/github-stars/deep-dive-into-laravel-debugbar-laravels-integrated-debugging-companion/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-dive-into-laravel-debugbar-laravels-integrated-debugging-companion/</guid><description>laravel-debugbar integrates PHP Debug Bar with Laravel using service providers and custom collectors, providing rich debug insights for development environments.</description></item><item><title>DeepEP: Optimizing communication for large Mixture-of-Experts models with CUDA kernels</title><link>https://ramdi.fr/github-stars/deepep-optimizing-communication-for-large-mixture-of-experts-models-with-cuda-kernels/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepep-optimizing-communication-for-large-mixture-of-experts-models-with-cuda-kernels/</guid><description>DeepEP is a CUDA-based communication library designed for Mixture-of-Experts models, delivering high-throughput GPU kernels with NVLink and RDMA support for efficient expert parallelism.</description></item><item><title>docker_practice: a comprehensive open-source Docker learning book with containerized local reading</title><link>https://ramdi.fr/github-stars/docker-practice-a-comprehensive-open-source-docker-learning-book-with-containerized-local-reading/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/docker-practice-a-comprehensive-open-source-docker-learning-book-with-containerized-local-reading/</guid><description>docker_practice offers a systematic Docker learning book with basics, advanced topics, and practical tooling. It uses Docker and mdPress for local reading, blending container tech with education.</description></item><item><title>Dolibarr ERP &amp; CRM: modular, framework-agnostic PHP business management</title><link>https://ramdi.fr/github-stars/dolibarr-erp-crm-modular-framework-agnostic-php-business-management/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/dolibarr-erp-crm-modular-framework-agnostic-php-business-management/</guid><description>Dolibarr is an open-source ERP &amp;amp; CRM in PHP, notable for its modular design and framework-free architecture with triggers and hooks. It supports multi-company, multi-currency, and APIs.</description></item><item><title>etcd: a robust distributed key-value store built on Go and Raft</title><link>https://ramdi.fr/github-stars/etcd-a-robust-distributed-key-value-store-built-on-go-and-raft/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/etcd-a-robust-distributed-key-value-store-built-on-go-and-raft/</guid><description>etcd is a distributed key-value store in Go that uses the Raft consensus algorithm for high availability and consistency, delivering 10,000 writes/sec and used extensively in production.</description></item><item><title>Exploring Microsoft's generative AI for beginners: a dual-language practical course</title><link>https://ramdi.fr/github-stars/exploring-microsoft-s-generative-ai-for-beginners-a-dual-language-practical-course/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-microsoft-s-generative-ai-for-beginners-a-dual-language-practical-course/</guid><description>Microsoft&amp;rsquo;s &amp;ldquo;Generative AI for Beginners&amp;rdquo; offers 21 lessons with Python and TypeScript examples covering LLMs, prompt engineering, RAG, and AI app building.</description></item><item><title>Exploring the Awesome-Selfhosted repository: a gateway to digital independence</title><link>https://ramdi.fr/github-stars/exploring-the-awesome-selfhosted-repository-a-gateway-to-digital-independence/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-awesome-selfhosted-repository-a-gateway-to-digital-independence/</guid><description>A deep dive into the Awesome-Selfhosted repo, a community-curated list of free software for self-hosting network services and web apps, promoting digital independence.</description></item><item><title>Exploring the Model Context Protocol with awesome-mcp-servers: a curated directory of MCP server implementations</title><link>https://ramdi.fr/github-stars/exploring-the-model-context-protocol-with-awesome-mcp-servers-a-curated-directory-of-mcp-server-implementations/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-model-context-protocol-with-awesome-mcp-servers-a-curated-directory-of-mcp-server-implementations/</guid><description>awesome-mcp-servers is a curated list of Model Context Protocol (MCP) servers enabling AI models to interact securely with resources. This article explores its architecture, strengths, and how to navigate it.</description></item><item><title>Exploring the Steam Deck Guide: a community-driven resource for Linux-based gaming customization</title><link>https://ramdi.fr/github-stars/exploring-the-steam-deck-guide-a-community-driven-resource-for-linux-based-gaming-customization/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-steam-deck-guide-a-community-driven-resource-for-linux-based-gaming-customization/</guid><description>The Steam Deck Guide provides a comprehensive, community-driven resource for optimizing and customizing Valve&amp;rsquo;s Linux-based handheld gaming device beyond its default SteamOS.</description></item><item><title>face_recognition: easy deep learning face recognition in Python with dlib</title><link>https://ramdi.fr/github-stars/face-recognition-easy-deep-learning-face-recognition-in-python-with-dlib/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/face-recognition-easy-deep-learning-face-recognition-in-python-with-dlib/</guid><description>face_recognition provides a simple Python API and CLI for highly accurate face detection and recognition using dlib&amp;rsquo;s deep learning model. It supports facial landmarks and multi-core processing.</description></item><item><title>Ferret v2: A declarative Go engine for web data extraction with a new API architecture</title><link>https://ramdi.fr/github-stars/ferret-v2-a-declarative-go-engine-for-web-data-extraction-with-a-new-api-architecture/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/ferret-v2-a-declarative-go-engine-for-web-data-extraction-with-a-new-api-architecture/</guid><description>Ferret v2 is a Go-based declarative system for web scraping that introduces a native Go API and a compatibility layer to ease migration from v1. It balances embeddability, speed, and API evolution.</description></item><item><title>flake-parts: modularizing Nix flakes with a NixOS-style module system</title><link>https://ramdi.fr/github-stars/flake-parts-modularizing-nix-flakes-with-a-nixos-style-module-system/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/flake-parts-modularizing-nix-flakes-with-a-nixos-style-module-system/</guid><description>flake-parts applies the NixOS module system paradigm to Nix flakes, simplifying complex configurations by enabling modular, shareable units in flakes management.</description></item><item><title>Flowise: visual low-code AI agent builder with a modular TypeScript monorepo</title><link>https://ramdi.fr/github-stars/flowise-visual-low-code-ai-agent-builder-with-a-modular-typescript-monorepo/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowise-visual-low-code-ai-agent-builder-with-a-modular-typescript-monorepo/</guid><description>Flowise offers a visual drag-and-drop low-code platform to build AI agents and LLM apps, with a Node.js backend and React frontend in a modular monorepo. Easy to start via npm or Docker.</description></item><item><title>FreeScout: A Laravel-powered open-source help desk with real-time collaboration and email integration</title><link>https://ramdi.fr/github-stars/freescout-a-laravel-powered-open-source-help-desk-with-real-time-collaboration-and-email-integration/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/freescout-a-laravel-powered-open-source-help-desk-with-real-time-collaboration-and-email-integration/</guid><description>FreeScout is a self-hosted, Laravel-based help desk solution offering robust email integration, real-time features, and no user or ticket limits. Here’s a deep dive into its architecture and code strengths.</description></item><item><title>Generating dynamic GitHub contribution streak stats as SVG images</title><link>https://ramdi.fr/github-stars/generating-dynamic-github-contribution-streak-stats-as-svg-images/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/generating-dynamic-github-contribution-streak-stats-as-svg-images/</guid><description>This PHP project generates customizable SVG images displaying GitHub contribution streaks for profile READMEs, with self-hosting and theming options.</description></item><item><title>GLPI: A mature PHP platform for comprehensive IT asset and service management</title><link>https://ramdi.fr/github-stars/glpi-a-mature-php-platform-for-comprehensive-it-asset-and-service-management/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/glpi-a-mature-php-platform-for-comprehensive-it-asset-and-service-management/</guid><description>GLPI is a self-hosted PHP application delivering extensive ITIL-aligned IT asset and service management with modular plugins and robust database design. It requires PHP 8.2+.</description></item><item><title>glTF-Sample-Assets: a curated collection of glTF models for 3D development and testing</title><link>https://ramdi.fr/github-stars/gltf-sample-assets-a-curated-collection-of-gltf-models-for-3d-development-and-testing/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/gltf-sample-assets-a-curated-collection-of-gltf-models-for-3d-development-and-testing/</guid><description>glTF-Sample-Assets offers a curated set of 3D models in glTF format, organized for testing and showcasing glTF capabilities. Essential for 3D developers and artists.</description></item><item><title>Gogs: a lightweight, cross-platform self-hosted Git service in Go</title><link>https://ramdi.fr/github-stars/gogs-a-lightweight-cross-platform-self-hosted-git-service-in-go/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/gogs-a-lightweight-cross-platform-self-hosted-git-service-in-go/</guid><description>Gogs is a self-hosted Git service built in Go, notable for its low resource footprint and cross-platform support, running efficiently from Raspberry Pi to cloud droplets.</description></item><item><title>Headless Chrome Crawler: Simplifying Dynamic Web Scraping with Puppeteer</title><link>https://ramdi.fr/github-stars/headless-chrome-crawler-simplifying-dynamic-web-scraping-with-puppeteer/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/headless-chrome-crawler-simplifying-dynamic-web-scraping-with-puppeteer/</guid><description>Headless Chrome Crawler offers a high-level API on Puppeteer for scraping dynamic JS-heavy websites with concurrency, caching, and jQuery injection. Ideal for complex scraping tasks.</description></item><item><title>HelloGitHub: How curated open source content drives community engagement at scale</title><link>https://ramdi.fr/github-stars/hellogithub-how-curated-open-source-content-drives-community-engagement-at-scale/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/hellogithub-how-curated-open-source-content-drives-community-engagement-at-scale/</guid><description>HelloGitHub curates entry-level open source projects monthly, fostering community engagement through human curation rather than code complexity. Here&amp;rsquo;s how it works.</description></item><item><title>Hermes Agent: A self-improving AI agent with closed learning loops and multi-platform integration</title><link>https://ramdi.fr/github-stars/hermes-agent-a-self-improving-ai-agent-with-closed-learning-loops-and-multi-platform-integration/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/hermes-agent-a-self-improving-ai-agent-with-closed-learning-loops-and-multi-platform-integration/</guid><description>Hermes Agent is a Python AI agent featuring closed learning loops, autonomous skill creation, multi-model support, and seamless Telegram/Discord integration for persistent, adaptable AI workflows.</description></item><item><title>how awesome-claude-skills turns claude into a real-world action agent</title><link>https://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/</guid><description>Awesome Claude Skills is a modular Python framework that empowers Claude to perform real-world actions by integrating with 500+ apps via Composio, extending its utility beyond text generation.</description></item><item><title>How Laravel AI SDK Simplifies Integrating Multiple AI Providers in PHP</title><link>https://ramdi.fr/github-stars/how-laravel-ai-sdk-simplifies-integrating-multiple-ai-providers-in-php/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-laravel-ai-sdk-simplifies-integrating-multiple-ai-providers-in-php/</guid><description>Laravel AI SDK offers a unified API to integrate OpenAI, Anthropic, Gemini, and more, streamlining AI workflows in Laravel apps with minimal boilerplate.</description></item><item><title>How Laravel's Core Design Boosts Developer Productivity and Scalability</title><link>https://ramdi.fr/github-stars/how-laravel-s-core-design-boosts-developer-productivity-and-scalability/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-laravel-s-core-design-boosts-developer-productivity-and-scalability/</guid><description>Laravel&amp;rsquo;s PHP framework stands out with its dependency injection container and expressive syntax, enabling scalable, maintainable web apps. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>How nix-starter-configs simplifies reproducible NixOS and home-manager setups with flakes</title><link>https://ramdi.fr/github-stars/how-nix-starter-configs-simplifies-reproducible-nixos-and-home-manager-setups-with-flakes/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-nix-starter-configs-simplifies-reproducible-nixos-and-home-manager-setups-with-flakes/</guid><description>nix-starter-configs offers Nix flakes-based templates for reproducible, portable NixOS and home-manager configurations, easing multi-host and multi-user setup. Here’s how it works.</description></item><item><title>How nix.dev documents the Nix ecosystem with MyST-enhanced Markdown</title><link>https://ramdi.fr/github-stars/how-nix-dev-documents-the-nix-ecosystem-with-myst-enhanced-markdown/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-nix-dev-documents-the-nix-ecosystem-with-myst-enhanced-markdown/</guid><description>nix.dev uses MyST, a CommonMark superset, to deliver structured, community-driven documentation for the Nix ecosystem, balancing flexibility and quality in open-source docs.</description></item><item><title>How WordPress MCP Adapter standardizes AI agent interaction with WordPress</title><link>https://ramdi.fr/github-stars/how-wordpress-mcp-adapter-standardizes-ai-agent-interaction-with-wordpress/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-wordpress-mcp-adapter-standardizes-ai-agent-interaction-with-wordpress/</guid><description>The WordPress MCP Adapter converts WordPress&amp;rsquo;s Abilities API into the Model Context Protocol, enabling AI agents to interact with WordPress seamlessly through standardized tools and prompts.</description></item><item><title>httpie/cli: A human-friendly command-line HTTP client for API interaction</title><link>https://ramdi.fr/github-stars/httpie-cli-a-human-friendly-command-line-http-client-for-api-interaction/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/httpie-cli-a-human-friendly-command-line-http-client-for-api-interaction/</guid><description>HTTPie CLI offers a simple, readable way to interact with HTTP APIs via command line, with built-in JSON support and colorized output that improves developer experience.</description></item><item><title>Hugo: high-performance static site generation with Go concurrency</title><link>https://ramdi.fr/github-stars/hugo-high-performance-static-site-generation-with-go-concurrency/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/hugo-high-performance-static-site-generation-with-go-concurrency/</guid><description>Hugo is a static site generator in Go, using concurrency for fast builds and advanced asset pipelines. It supports multilingual sites and modular content sharing.</description></item><item><title>Inside agents: a granular multi-agent orchestration system with PluginEval quality assurance</title><link>https://ramdi.fr/github-stars/inside-agents-a-granular-multi-agent-orchestration-system-with-plugineval-quality-assurance/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-agents-a-granular-multi-agent-orchestration-system-with-plugineval-quality-assurance/</guid><description>Explore agents, a Python-based multi-agent orchestration repo featuring 184 AI agents, 78 plugins, and a three-layer PluginEval framework for plugin quality assurance.</description></item><item><title>Inside Automattic's VIP Go MU-Plugins: Modular WordPress Core Extensions with Modern Testing</title><link>https://ramdi.fr/github-stars/inside-automattic-s-vip-go-mu-plugins-modular-wordpress-core-extensions-with-modern-testing/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-automattic-s-vip-go-mu-plugins-modular-wordpress-core-extensions-with-modern-testing/</guid><description>Explore Automattic&amp;rsquo;s VIP Go MU-Plugins repo: modular WordPress core extensions with PHPUnit and Playwright tests, designed for high-scale VIP platform use.</description></item><item><title>Inside fzf: how a Go fuzzy finder processes millions of items instantly</title><link>https://ramdi.fr/github-stars/inside-fzf-how-a-go-fuzzy-finder-processes-millions-of-items-instantly/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-fzf-how-a-go-fuzzy-finder-processes-millions-of-items-instantly/</guid><description>fzf is a fast, portable command-line fuzzy finder in Go that processes millions of items instantly. This article explores its architecture, algorithm, and integration.</description></item><item><title>Inside Google Gemini CLI: a terminal-first AI agent with extensible Model Context Protocol</title><link>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</guid><description>Google Gemini CLI is a TypeScript-based terminal AI agent offering direct Gemini model access, extensibility via MCP, and advanced features like Google Search grounding. Here&amp;rsquo;s how it works and who should use it.</description></item><item><title>Inside Grafana: a modular platform for monitoring and observability</title><link>https://ramdi.fr/github-stars/inside-grafana-a-modular-platform-for-monitoring-and-observability/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-grafana-a-modular-platform-for-monitoring-and-observability/</guid><description>Grafana is an open-source monitoring platform with an extensible plugin architecture enabling diverse data source integrations and dynamic dashboards with alerting. Here&amp;rsquo;s how its modular design shapes flexibility and performance.</description></item><item><title>Inside Moby: the modular foundation for container tooling and the evolving Go SDK</title><link>https://ramdi.fr/github-stars/inside-moby-the-modular-foundation-for-container-tooling-and-the-evolving-go-sdk/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-moby-the-modular-foundation-for-container-tooling-and-the-evolving-go-sdk/</guid><description>Moby provides modular containerization building blocks and a revamped Go SDK, enabling flexible container solutions. It serves as Docker&amp;rsquo;s upstream with a community-driven approach.</description></item><item><title>Inside the golang/go repository: The source of Go's simplicity and efficiency</title><link>https://ramdi.fr/github-stars/inside-the-golang-go-repository-the-source-of-go-s-simplicity-and-efficiency/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-golang-go-repository-the-source-of-go-s-simplicity-and-efficiency/</guid><description>Explore the golang/go repo, the official source for the Go language, its architecture, design tradeoffs, and how to get started with its binary distributions.</description></item><item><title>Inside WooCommerce's monorepo: managing PHP and JavaScript at scale</title><link>https://ramdi.fr/github-stars/inside-woocommerce-s-monorepo-managing-php-and-javascript-at-scale/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-woocommerce-s-monorepo-managing-php-and-javascript-at-scale/</guid><description>WooCommerce&amp;rsquo;s monorepo combines PHP with modern JavaScript tooling to manage a large e-commerce platform. Here’s how it organizes code, manages dependencies, and supports contributors.</description></item><item><title>JavaGuide: a comprehensive backend interview resource expanding into AI application development</title><link>https://ramdi.fr/github-stars/javaguide-a-comprehensive-backend-interview-resource-expanding-into-ai-application-development/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/javaguide-a-comprehensive-backend-interview-resource-expanding-into-ai-application-development/</guid><description>JavaGuide offers a thorough Java backend interview preparation resource now including AI application development with AI Agents, RAG, and MCP protocol concepts for modern backend roles.</description></item><item><title>Kestra: event-driven workflow orchestration with Infrastructure as Code and UI integration</title><link>https://ramdi.fr/github-stars/kestra-event-driven-workflow-orchestration-with-infrastructure-as-code-and-ui-integration/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/kestra-event-driven-workflow-orchestration-with-infrastructure-as-code-and-ui-integration/</guid><description>Kestra is an event-driven orchestration platform combining declarative YAML workflows with a visual UI. It supports scalable, fault-tolerant workflows with rich plugin integrations.</description></item><item><title>Krayin CRM: A Laravel and Vue.js full-stack open-source CRM framework</title><link>https://ramdi.fr/github-stars/krayin-crm-a-laravel-and-vue-js-full-stack-open-source-crm-framework/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/krayin-crm-a-laravel-and-vue-js-full-stack-open-source-crm-framework/</guid><description>Krayin CRM combines Laravel backend and Vue.js frontend in a modular open-source CRM tailored for SMEs. It offers email parsing, WhatsApp and VoIP integrations, plus SaaS-ready multi-tenancy.</description></item><item><title>Langflow: Visual orchestration platform for AI agents and workflows</title><link>https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/</guid><description>Langflow offers a Python-based visual platform to build and deploy AI agents and workflows with multi-agent orchestration, vector DB support, and enterprise features.</description></item><item><title>Laravel Excel: simplifying scalable Excel imports and exports in Laravel</title><link>https://ramdi.fr/github-stars/laravel-excel-simplifying-scalable-excel-imports-and-exports-in-laravel/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/laravel-excel-simplifying-scalable-excel-imports-and-exports-in-laravel/</guid><description>Laravel Excel wraps PhpSpreadsheet to simplify Excel import/export in Laravel apps, handling chunking and queuing for large datasets efficiently.</description></item><item><title>Lens: A Kubernetes IDE Built for Developer Productivity with a Modern Extension Model</title><link>https://ramdi.fr/github-stars/lens-a-kubernetes-ide-built-for-developer-productivity-with-a-modern-extension-model/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/lens-a-kubernetes-ide-built-for-developer-productivity-with-a-modern-extension-model/</guid><description>Lens is the leading Kubernetes IDE used by over 1 million developers. It offers a unified UI for cluster management and has transitioned to an extension-based development model.</description></item><item><title>LlamaFactory: modular, extensible fine-tuning framework for large language models</title><link>https://ramdi.fr/github-stars/llamafactory-modular-extensible-fine-tuning-framework-for-large-language-models/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/llamafactory-modular-extensible-fine-tuning-framework-for-large-language-models/</guid><description>LlamaFactory offers a modular Python framework for fine-tuning 100+ LLMs with diverse algorithms and optimizations, including LoRA, QLoRA, and reinforcement learning.</description></item><item><title>LocalAI: running diverse AI models locally with multi-backend support and agent capabilities</title><link>https://ramdi.fr/github-stars/localai-running-diverse-ai-models-locally-with-multi-backend-support-and-agent-capabilities/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/localai-running-diverse-ai-models-locally-with-multi-backend-support-and-agent-capabilities/</guid><description>LocalAI enables running 36+ AI models locally without GPU, supporting multi-user API access and built-in AI agents with OpenAI-compatible APIs. Here&amp;rsquo;s how it works and why it matters.</description></item><item><title>Maigret: A resilient OSINT username scraper across thousands of sites</title><link>https://ramdi.fr/github-stars/maigret-a-resilient-osint-username-scraper-across-thousands-of-sites/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/maigret-a-resilient-osint-username-scraper-across-thousands-of-sites/</guid><description>Maigret is a Python-based OSINT tool that scrapes public profiles by username from 3,000+ sites without API keys. It features adaptive scraping, anti-blocking, and a web interface.</description></item><item><title>Managing dotfiles and system configs with Nix flakes in Mic92/dotfiles</title><link>https://ramdi.fr/github-stars/managing-dotfiles-and-system-configs-with-nix-flakes-in-mic92-dotfiles/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/managing-dotfiles-and-system-configs-with-nix-flakes-in-mic92-dotfiles/</guid><description>Mic92/dotfiles uses Nix flakes to manage NixOS system configurations, dotfiles, and a standalone Neovim setup, enabling reproducible deployments across various environments.</description></item><item><title>Matomo: an extensible open-source analytics platform emphasizing privacy and customization</title><link>https://ramdi.fr/github-stars/matomo-an-extensible-open-source-analytics-platform-emphasizing-privacy-and-customization/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/matomo-an-extensible-open-source-analytics-platform-emphasizing-privacy-and-customization/</guid><description>Matomo is a leading open-source, self-hosted analytics platform prioritizing data ownership and extensibility with a plugin-based architecture. It offers real-time insights and privacy-focused analytics.</description></item><item><title>mem0: optimizing AI agent memory with a new single-pass additive algorithm</title><link>https://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/mem0-optimizing-ai-agent-memory-with-a-new-single-pass-additive-algorithm/</guid><description>mem0 enhances AI agent memory with a new single-pass ADD-only extraction algorithm and multi-signal retrieval, boosting benchmarks significantly while simplifying memory management.</description></item><item><title>Memos: a self-hosted note-taking tool with radical simplicity in Go</title><link>https://ramdi.fr/github-stars/memos-a-self-hosted-note-taking-tool-with-radical-simplicity-in-go/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/memos-a-self-hosted-note-taking-tool-with-radical-simplicity-in-go/</guid><description>Memos is a Go-based self-hosted note-taking app with a single binary and lightweight Docker image. It supports Markdown notes, multiple databases, plus REST and gRPC APIs.</description></item><item><title>MetaGPT: orchestrating multi-agent AI teams to automate software development</title><link>https://ramdi.fr/github-stars/metagpt-orchestrating-multi-agent-ai-teams-to-automate-software-development/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/metagpt-orchestrating-multi-agent-ai-teams-to-automate-software-development/</guid><description>MetaGPT uses a multi-agent system with defined GPT roles following SOPs to automate software development from one-line prompts. It simulates a software company with role-based AI collaboration.</description></item><item><title>Microsoft's ML-For-Beginners: A Project-Based Classic Machine Learning Curriculum</title><link>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</guid><description>Microsoft&amp;rsquo;s ML-For-Beginners offers a 12-week, project-based classic machine learning course using Scikit-learn and Jupyter Notebooks, focusing on foundational concepts with interactive lessons and quizzes.</description></item><item><title>microvm.nix: declarative MicroVM management with Nix flakes</title><link>https://ramdi.fr/github-stars/microvm-nix-declarative-microvm-management-with-nix-flakes/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/microvm-nix-declarative-microvm-management-with-nix-flakes/</guid><description>microvm.nix offers declarative MicroVMs on NixOS/macOS using eight hypervisors, enabling version-controlled, reproducible VM deployments with fixed RAM and flexible storage.</description></item><item><title>Naersk: reproducible, IFD-free Rust builds with Nix</title><link>https://ramdi.fr/github-stars/naersk-reproducible-ifd-free-rust-builds-with-nix/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/naersk-reproducible-ifd-free-rust-builds-with-nix/</guid><description>Naersk is a Nix library enabling reproducible Rust builds free of Impure Function Dependencies. It parses Cargo.lock and manages dependencies purely in Nix, ideal for CI/CD and Hydra.</description></item><item><title>nh: a Rust-based unified CLI for the Nix ecosystem with enhanced search and ergonomics</title><link>https://ramdi.fr/github-stars/nh-a-rust-based-unified-cli-for-the-nix-ecosystem-with-enhanced-search-and-ergonomics/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/nh-a-rust-based-unified-cli-for-the-nix-ecosystem-with-enhanced-search-and-ergonomics/</guid><description>nh is a Rust CLI tool consolidating Nix, NixOS, and Home Manager commands with improved ergonomics, speed, and Elasticsearch-powered package search.</description></item><item><title>nix-darwin brings declarative NixOS-style system management to macOS</title><link>https://ramdi.fr/github-stars/nix-darwin-brings-declarative-nixos-style-system-management-to-macos/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/nix-darwin-brings-declarative-nixos-style-system-management-to-macos/</guid><description>nix-darwin adapts NixOS&amp;rsquo;s declarative system configuration model to macOS, enabling reproducible, version-controlled system setups using Nix modules and flakes.</description></item><item><title>Nixvim: Bridging Nix's declarative power with Neovim's Lua ecosystem</title><link>https://ramdi.fr/github-stars/nixvim-bridging-nix-s-declarative-power-with-neovim-s-lua-ecosystem/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/nixvim-bridging-nix-s-declarative-power-with-neovim-s-lua-ecosystem/</guid><description>Nixvim offers a declarative Neovim configuration system using Nix modules and Lua generation, blending reproducibility with flexible plugin setup. Ideal for Nix users.</description></item><item><title>Ollama: a unified CLI and API platform for local large language models</title><link>https://ramdi.fr/github-stars/ollama-a-unified-cli-and-api-platform-for-local-large-language-models/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/ollama-a-unified-cli-and-api-platform-for-local-large-language-models/</guid><description>Ollama simplifies running and managing open-source large language models locally with a unified CLI and REST API, supporting broad integrations and multi-OS support.</description></item><item><title>OpenEMR: a comprehensive open-source EHR with a modern PHP and JavaScript hybrid stack</title><link>https://ramdi.fr/github-stars/openemr-a-comprehensive-open-source-ehr-with-a-modern-php-and-javascript-hybrid-stack/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/openemr-a-comprehensive-open-source-ehr-with-a-modern-php-and-javascript-hybrid-stack/</guid><description>OpenEMR is a widely used open-source electronic health records system blending PHP backend with modern JavaScript frontend tooling. It supports multi-OS deployment and extensive APIs.</description></item><item><title>PhotoPrism: AI-powered privacy-first photo management for self-hosted environments</title><link>https://ramdi.fr/github-stars/photoprism-ai-powered-privacy-first-photo-management-for-self-hosted-environments/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/photoprism-ai-powered-privacy-first-photo-management-for-self-hosted-environments/</guid><description>PhotoPrism offers AI-driven photo management with facial recognition and tagging in a self-hosted, privacy-focused platform. Explore its architecture, tech, and tradeoffs.</description></item><item><title>phpIPAM: managing IP addresses with a mature PHP application and clear version strategy</title><link>https://ramdi.fr/github-stars/phpipam-managing-ip-addresses-with-a-mature-php-application-and-clear-version-strategy/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/phpipam-managing-ip-addresses-with-a-mature-php-application-and-clear-version-strategy/</guid><description>phpIPAM is a mature open-source PHP IP address management tool balancing backward compatibility and modern PHP features with clear branching and Docker support.</description></item><item><title>PrestaShop: a mature PHP e-commerce platform with a dockerized developer experience</title><link>https://ramdi.fr/github-stars/prestashop-a-mature-php-e-commerce-platform-with-a-dockerized-developer-experience/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/prestashop-a-mature-php-e-commerce-platform-with-a-dockerized-developer-experience/</guid><description>PrestaShop is a mature PHP e-commerce platform emphasizing a Docker-based dev environment and modular architecture. Here’s how it balances modern PHP with real-world DX.</description></item><item><title>Pydoll: Async-native Chromium automation with typed extraction for web scraping</title><link>https://ramdi.fr/github-stars/pydoll-async-native-chromium-automation-with-typed-extraction-for-web-scraping/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/pydoll-async-native-chromium-automation-with-typed-extraction-for-web-scraping/</guid><description>Pydoll is a Python library for Chromium automation using Chrome DevTools Protocol. It offers async-native APIs and Pydantic-powered data extraction for structured, validated scraping.</description></item><item><title>Refactoring Laravel apps: practical best practices for cleaner code</title><link>https://ramdi.fr/github-stars/refactoring-laravel-apps-practical-best-practices-for-cleaner-code/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/refactoring-laravel-apps-practical-best-practices-for-cleaner-code/</guid><description>This repo offers a hands-on guide to refactoring Laravel apps, replacing common anti-patterns with idiomatic, maintainable code using Form Requests, Service Classes, and Eloquent optimizations.</description></item><item><title>Roundcube Webmail: A PHP IMAP Client Built on a Custom Framework</title><link>https://ramdi.fr/github-stars/roundcube-webmail-a-php-imap-client-built-on-a-custom-framework/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/roundcube-webmail-a-php-imap-client-built-on-a-custom-framework/</guid><description>Roundcube is a browser-based PHP IMAP client using a custom framework and an IMAP library from IlohaMail, offering extensibility via plugins and skins. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>running nixos on windows with wsl: declarative linux environment without a vm</title><link>https://ramdi.fr/github-stars/running-nixos-on-windows-with-wsl-declarative-linux-environment-without-a-vm/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-nixos-on-windows-with-wsl-declarative-linux-environment-without-a-vm/</guid><description>NixOS-WSL lets you run NixOS declaratively on Windows using WSL, giving a reproducible Linux environment without a VM. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>Sage: Modernizing WordPress theme development with Laravel Blade and Vite</title><link>https://ramdi.fr/github-stars/sage-modernizing-wordpress-theme-development-with-laravel-blade-and-vite/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/sage-modernizing-wordpress-theme-development-with-laravel-blade-and-vite/</guid><description>Sage modernizes WordPress theme development by integrating Laravel Blade templating, Vite frontend tooling, and Acorn backend features for a structured, component-based workflow.</description></item><item><title>shadcn/ui: building your own customizable React component library from source</title><link>https://ramdi.fr/github-stars/shadcn-ui-building-your-own-customizable-react-component-library-from-source/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/shadcn-ui-building-your-own-customizable-react-component-library-from-source/</guid><description>shadcn/ui offers customizable React components by providing source code for deep integration and modification. It&amp;rsquo;s a foundation for bespoke UI libraries rather than a traditional component package.</description></item><item><title>SiYuan: A modular, privacy-first self-hosted knowledge management system with a TypeScript and Go hybrid stack</title><link>https://ramdi.fr/github-stars/siyuan-a-modular-privacy-first-self-hosted-knowledge-management-system-with-a-typescript-and-go-hybrid-stack/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/siyuan-a-modular-privacy-first-self-hosted-knowledge-management-system-with-a-typescript-and-go-hybrid-stack/</guid><description>SiYuan is a self-hosted personal knowledge system blending TypeScript frontend and Go backend, offering block-level referencing, Markdown WYSIWYG, and Docker deployment for privacy-conscious users.</description></item><item><title>Snipe-IT: A mature Laravel asset management system driven by a rich JSON API</title><link>https://ramdi.fr/github-stars/snipe-it-a-mature-laravel-asset-management-system-driven-by-a-rich-json-api/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/snipe-it-a-mature-laravel-asset-management-system-driven-by-a-rich-json-api/</guid><description>Snipe-IT is an open-source Laravel 11 IT asset and license management platform with a comprehensive JSON REST API enabling diverse integrations and mobile apps.</description></item><item><title>Spec Kit: AI-Driven Spec-Driven Development with Executable Specifications</title><link>https://ramdi.fr/github-stars/spec-kit-ai-driven-spec-driven-development-with-executable-specifications/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/spec-kit-ai-driven-spec-driven-development-with-executable-specifications/</guid><description>Spec Kit redefines software development by turning specifications into executable artifacts guided by AI agents, offering a CLI-driven, human-in-the-loop workflow for predictable software delivery.</description></item><item><title>Stirling PDF: a versatile open-source platform for PDF editing and automation</title><link>https://ramdi.fr/github-stars/stirling-pdf-a-versatile-open-source-platform-for-pdf-editing-and-automation/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/stirling-pdf-a-versatile-open-source-platform-for-pdf-editing-and-automation/</guid><description>Stirling PDF offers 50+ PDF tools, a private REST API, and multi-platform deployment for self-hosted, no-code automated PDF workflows. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>Symfony AI: Unified AI integration for PHP applications with Symfony</title><link>https://ramdi.fr/github-stars/symfony-ai-unified-ai-integration-for-php-applications-with-symfony/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/symfony-ai-unified-ai-integration-for-php-applications-with-symfony/</guid><description>Symfony AI unifies multiple AI platforms into a single PHP interface, enabling flexible AI-powered Symfony apps without vendor lock-in. It includes AI agents, chat context, and data indexing components.</description></item><item><title>TrendRadar: AI-powered multi-platform trend monitoring with MCP architecture</title><link>https://ramdi.fr/github-stars/trendradar-ai-powered-multi-platform-trend-monitoring-with-mcp-architecture/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/trendradar-ai-powered-multi-platform-trend-monitoring-with-mcp-architecture/</guid><description>TrendRadar is a self-hosted AI-driven tool for multi-platform trend monitoring, using MCP architecture for advanced language analysis and smart push notifications across popular messaging platforms.</description></item><item><title>Trilium Notes: a self-hosted hierarchical note-taking system with rich scripting and synchronization</title><link>https://ramdi.fr/github-stars/trilium-notes-a-self-hosted-hierarchical-note-taking-system-with-rich-scripting-and-synchronization/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/trilium-notes-a-self-hosted-hierarchical-note-taking-system-with-rich-scripting-and-synchronization/</guid><description>Trilium Notes offers a rich TypeScript/Electron desktop experience for hierarchical note-taking with self-hosted sync and powerful scripting. Scales beyond 100k notes.</description></item><item><title>TYPO3 as a Content Management Framework: Architecture and Enterprise Flexibility Explained</title><link>https://ramdi.fr/github-stars/typo3-as-a-content-management-framework-architecture-and-enterprise-flexibility-explained/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/typo3-as-a-content-management-framework-architecture-and-enterprise-flexibility-explained/</guid><description>TYPO3 is a PHP-based Content Management Framework emphasizing modularity and extensibility through a slim core and open APIs. This article explores its architecture, tradeoffs, and usage.</description></item><item><title>Under the hood of Monica: a personal CRM built with Laravel and Vue.js</title><link>https://ramdi.fr/github-stars/under-the-hood-of-monica-a-personal-crm-built-with-laravel-and-vue-js/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/under-the-hood-of-monica-a-personal-crm-built-with-laravel-and-vue-js/</guid><description>Monica is a personal CRM built with Laravel and Vue.js, designed to help users manage relationships. This article explores its architecture, code quality, and how to navigate the project.</description></item><item><title>Understanding Nixpkgs: The foundation of a purely functional Linux distribution</title><link>https://ramdi.fr/github-stars/understanding-nixpkgs-the-foundation-of-a-purely-functional-linux-distribution/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-nixpkgs-the-foundation-of-a-purely-functional-linux-distribution/</guid><description>Nixpkgs powers NixOS with over 120,000 declaratively managed packages using a purely functional approach. Explore its architecture, CI, and tradeoffs for reproducible Linux systems.</description></item><item><title>undetected-chromedriver: patching Selenium to evade anti-bot detection</title><link>https://ramdi.fr/github-stars/undetected-chromedriver-patching-selenium-to-evade-anti-bot-detection/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/undetected-chromedriver-patching-selenium-to-evade-anti-bot-detection/</guid><description>undetected-chromedriver patches Selenium&amp;rsquo;s Chromedriver to bypass anti-bot defenses like Distill Network and DataDome. It supports Chrome beta and Chromium-based browsers with ease.</description></item><item><title>Vaultwarden: a resource-efficient Rust implementation of the Bitwarden server API</title><link>https://ramdi.fr/github-stars/vaultwarden-a-resource-efficient-rust-implementation-of-the-bitwarden-server-api/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/vaultwarden-a-resource-efficient-rust-implementation-of-the-bitwarden-server-api/</guid><description>Vaultwarden is a lightweight, Rust-based server compatible with the Bitwarden API, optimized for self-hosting with low resource usage and Docker deployment.</description></item><item><title>vLLM: Efficient large language model serving with paged attention and continuous batching</title><link>https://ramdi.fr/github-stars/vllm-efficient-large-language-model-serving-with-paged-attention-and-continuous-batching/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/vllm-efficient-large-language-model-serving-with-paged-attention-and-continuous-batching/</guid><description>vLLM is a Python library for high-throughput LLM inference using paged attention and continuous batching. It supports quantization, distributed inference, and an OpenAI-compatible API.</description></item><item><title>WebMagic: a flexible Java web crawler framework with dual extraction modes</title><link>https://ramdi.fr/github-stars/webmagic-a-flexible-java-web-crawler-framework-with-dual-extraction-modes/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/webmagic-a-flexible-java-web-crawler-framework-with-dual-extraction-modes/</guid><description>WebMagic is a Java web crawler framework offering both programmatic and annotation-driven extraction, supporting multi-threading and distributed crawling for scalable scraping.</description></item><item><title>Xboard: A high-performance Laravel panel system with React and Vue3 frontends</title><link>https://ramdi.fr/github-stars/xboard-a-high-performance-laravel-panel-system-with-react-and-vue3-frontends/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/xboard-a-high-performance-laravel-panel-system-with-react-and-vue3-frontends/</guid><description>Xboard is a Laravel 11 panel system leveraging Octane, React, and Vue3 with Docker deployment. It balances high performance and modern frontend UX with maintainable architecture.</description></item><item><title>SecLists: the essential wordlist collection for security testing</title><link>https://ramdi.fr/github-stars/seclists-the-essential-wordlist-collection-for-security-testing/</link><pubDate>Sat, 02 May 2026 20:02:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/seclists-the-essential-wordlist-collection-for-security-testing/</guid><description>SecLists is a comprehensive collection of security testing wordlists and payloads, essential for penetration testers and researchers seeking standardized, ready-to-use resources.</description></item><item><title>TradingAgents: a multi-agent LLM framework simulating real-world trading firm dynamics</title><link>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</link><pubDate>Sat, 02 May 2026 07:48:10 +0000</pubDate><guid>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</guid><description>TradingAgents uses specialized LLM agents in a structured bull/bear debate to mimic real trading firms. Supports 10+ LLMs, persistent memory, and CLI/Docker usage.</description></item><item><title>Qwen Code: A multi-provider terminal AI coding agent with unified config abstraction</title><link>https://ramdi.fr/github-stars/qwen-code-a-multi-provider-terminal-ai-coding-agent-with-unified-config-abstraction/</link><pubDate>Tue, 28 Apr 2026 18:38:54 +0000</pubDate><guid>https://ramdi.fr/github-stars/qwen-code-a-multi-provider-terminal-ai-coding-agent-with-unified-config-abstraction/</guid><description>Qwen Code is a TypeScript terminal AI coding agent that abstracts multiple LLM providers behind a unified config, enabling flexible AI workflows with Skills and SubAgents.</description></item><item><title>Beads: a distributed graph issue tracker for multi-agent AI workflows</title><link>https://ramdi.fr/github-stars/beads-a-distributed-graph-issue-tracker-for-multi-agent-ai-workflows/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/beads-a-distributed-graph-issue-tracker-for-multi-agent-ai-workflows/</guid><description>Beads is a Go-based CLI tool that uses Dolt-backed version control to manage AI agent tasks as a dependency-aware graph, solving merge conflicts and context window limits with semantic compaction.</description></item><item><title>Cua: A unified stack for background desktop automation agents across macOS, Linux, Windows, and Android</title><link>https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/</guid><description>Cua provides a multi-component open-source stack for building and benchmarking computer-use agents that control full desktops without disrupting user focus, across macOS, Linux, Windows, and Android.</description></item><item><title>Forge: a Rust-based multi-agent AI coding assistant integrated into your terminal workflow</title><link>https://ramdi.fr/github-stars/forge-a-rust-based-multi-agent-ai-coding-assistant-integrated-into-your-terminal-workflow/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/forge-a-rust-based-multi-agent-ai-coding-assistant-integrated-into-your-terminal-workflow/</guid><description>Forge is a Rust-based AI coding agent with multi-agent architecture and a unique ZSH plugin that intercepts shell commands for seamless terminal integration. It supports 300+ LLM providers.</description></item><item><title>Scrapy: a modular Python framework for scalable web scraping</title><link>https://ramdi.fr/github-stars/scrapy-a-modular-python-framework-for-scalable-web-scraping/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/scrapy-a-modular-python-framework-for-scalable-web-scraping/</guid><description>Scrapy is a Python framework designed for efficient and extensible web scraping, featuring a powerful selector system and item pipelines for data extraction and processing.</description></item><item><title>Thunderbolt: a cross-platform, model-agnostic AI client built with TypeScript and Tauri</title><link>https://ramdi.fr/github-stars/thunderbolt-a-cross-platform-model-agnostic-ai-client-built-with-typescript-and-tauri/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/thunderbolt-a-cross-platform-model-agnostic-ai-client-built-with-typescript-and-tauri/</guid><description>Thunderbolt is a cross-platform AI client that abstracts multiple AI providers with a TypeScript codebase using Tauri, supporting local and cloud models for enterprise deployments.</description></item><item><title>Agenix: secure secret management integrated with NixOS and age encryption</title><link>https://ramdi.fr/github-stars/agenix-secure-secret-management-integrated-with-nixos-and-age-encryption/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/agenix-secure-secret-management-integrated-with-nixos-and-age-encryption/</guid><description>Agenix is a Nix library and CLI tool that integrates age encryption with NixOS to securely handle secrets, enabling reproducible deployments without cleartext exposure.</description></item><item><title>AutoGen: exploring multi-agent AI orchestration with Python in maintenance mode</title><link>https://ramdi.fr/github-stars/autogen-exploring-multi-agent-ai-orchestration-with-python-in-maintenance-mode/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/autogen-exploring-multi-agent-ai-orchestration-with-python-in-maintenance-mode/</guid><description>AutoGen is a Python framework for building multi-agent AI applications with LLM integration, now in maintenance mode with Microsoft Agent Framework as its successor. Learn its architecture, strengths, and how to get started.</description></item><item><title>AutoGPT: A modular platform for continuous AI agents and workflow automation</title><link>https://ramdi.fr/github-stars/autogpt-a-modular-platform-for-continuous-ai-agents-and-workflow-automation/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/autogpt-a-modular-platform-for-continuous-ai-agents-and-workflow-automation/</guid><description>AutoGPT is a Python-based platform for building and managing continuous AI agents that automate workflows, featuring a modular architecture, low-code agent creation, and benchmarking tools.</description></item><item><title>awesome-copilot: modular community plugins and agentic workflows for GitHub Copilot</title><link>https://ramdi.fr/github-stars/awesome-copilot-modular-community-plugins-and-agentic-workflows-for-github-copilot/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-copilot-modular-community-plugins-and-agentic-workflows-for-github-copilot/</guid><description>awesome-copilot is a community-curated collection of plugins and agents that extend GitHub Copilot with modular, agentic workflows managed through a CLI marketplace.</description></item><item><title>CC Switch: unified management for AI coding CLIs in a cross-platform Rust desktop app</title><link>https://ramdi.fr/github-stars/cc-switch-unified-management-for-ai-coding-clis-in-a-cross-platform-rust-desktop-app/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/cc-switch-unified-management-for-ai-coding-clis-in-a-cross-platform-rust-desktop-app/</guid><description>CC Switch is a Rust-based cross-platform desktop app that centralizes management of AI coding CLIs like Claude Code and Codex. It streamlines switching providers, prompt templating, and session persistence.</description></item><item><title>ComfyUI: modular visual workflows for diffusion model experimentation</title><link>https://ramdi.fr/github-stars/comfyui-modular-visual-workflows-for-diffusion-model-experimentation/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/comfyui-modular-visual-workflows-for-diffusion-model-experimentation/</guid><description>ComfyUI offers a graph/node interface for building complex diffusion model workflows offline, blending modularity with flexibility for AI practitioners.</description></item><item><title>Context7: injecting real-time, version-specific docs into LLM workflows</title><link>https://ramdi.fr/github-stars/context7-injecting-real-time-version-specific-docs-into-llm-workflows/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/context7-injecting-real-time-version-specific-docs-into-llm-workflows/</guid><description>Context7 tackles LLM hallucinations by injecting up-to-date, version-specific library docs directly into AI coding agents&amp;rsquo; context via CLI or MCP server integration.</description></item><item><title>CopilotKit: Building dynamic agentic UIs with the AG-UI protocol</title><link>https://ramdi.fr/github-stars/copilotkit-building-dynamic-agentic-uis-with-the-ag-ui-protocol/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/copilotkit-building-dynamic-agentic-uis-with-the-ag-ui-protocol/</guid><description>CopilotKit introduces the AG-UI Protocol, enabling AI agents to dynamically render and update UI components in React apps, supporting rich human-in-the-loop workflows.</description></item><item><title>Deconstructing the Modern Computer Science Curriculum through Developer-Y's cs-video-courses</title><link>https://ramdi.fr/github-stars/deconstructing-the-modern-computer-science-curriculum-through-developer-y-s-cs-video-courses/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deconstructing-the-modern-computer-science-curriculum-through-developer-y-s-cs-video-courses/</guid><description>A deep dive into Developer-Y&amp;rsquo;s cs-video-courses repo, a curated list of free university-level CS video courses shaping modern computer science education.</description></item><item><title>Deep-Live-Cam: Real-time face swapping optimized across diverse hardware with ONNX Runtime</title><link>https://ramdi.fr/github-stars/deep-live-cam-real-time-face-swapping-optimized-across-diverse-hardware-with-onnx-runtime/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-live-cam-real-time-face-swapping-optimized-across-diverse-hardware-with-onnx-runtime/</guid><description>Deep-Live-Cam offers real-time face swapping and deepfake video generation using ONNX Runtime with multiple execution providers for optimized performance on GPUs, CPUs, and Apple Silicon.</description></item><item><title>DeerFlow 2.0: orchestrating multi-agent AI workflows with flexible LLM integration</title><link>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deerflow-2-0-orchestrating-multi-agent-ai-workflows-with-flexible-llm-integration/</guid><description>DeerFlow 2.0 is a Python framework for orchestrating AI sub-agents and memory with support for multiple LLMs and execution sandboxes. It uses a modular config and setup wizard for flexible deployment.</description></item><item><title>Dive into Deep Learning (D2L.ai) Chinese Edition: An interactive textbook bridging theory and code</title><link>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</guid><description>Dive into Deep Learning Chinese edition offers an interactive, code-driven deep learning textbook in Python, integrating theory with runnable examples for hands-on learning.</description></item><item><title>Dokku: A lightweight, Docker-powered mini-Heroku for self-hosting applications</title><link>https://ramdi.fr/github-stars/dokku-a-lightweight-docker-powered-mini-heroku-for-self-hosting-applications/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/dokku-a-lightweight-docker-powered-mini-heroku-for-self-hosting-applications/</guid><description>Dokku offers a simple, Docker-based PaaS that lets you deploy apps via Git push on a single server. Ideal for self-hosting without complex orchestration.</description></item><item><title>Dokploy: a self-hosted PaaS combining Docker Compose and Swarm for scalable deployments</title><link>https://ramdi.fr/github-stars/dokploy-a-self-hosted-paas-combining-docker-compose-and-swarm-for-scalable-deployments/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/dokploy-a-self-hosted-paas-combining-docker-compose-and-swarm-for-scalable-deployments/</guid><description>Dokploy is a self-hosted PaaS that streamlines app and database deployments using Docker Compose and Swarm for multi-node scaling, with integrated DB management and monitoring.</description></item><item><title>Flarum: A modular PHP forum platform built on Laravel with a clean separation of core and app</title><link>https://ramdi.fr/github-stars/flarum-a-modular-php-forum-platform-built-on-laravel-with-a-clean-separation-of-core-and-app/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/flarum-a-modular-php-forum-platform-built-on-laravel-with-a-clean-separation-of-core-and-app/</guid><description>Flarum is an open-source PHP forum platform with a modular architecture, separating core features from the main app skeleton. It offers an extensible system with a Laravel backend and Mithril frontend.</description></item><item><title>frp: a fast, extensible reverse proxy evolving towards cloud-native architecture</title><link>https://ramdi.fr/github-stars/frp-a-fast-extensible-reverse-proxy-evolving-towards-cloud-native-architecture/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/frp-a-fast-extensible-reverse-proxy-evolving-towards-cloud-native-architecture/</guid><description>frp is a Go-based reverse proxy enabling NAT traversal with TCP/UDP/HTTP support and P2P mode. Its upcoming V2 rethinks proxy architecture for scalability and extensibility.</description></item><item><title>golang-standards/project-layout: a community-driven standard for scalable Go project structure</title><link>https://ramdi.fr/github-stars/golang-standards-project-layout-a-community-driven-standard-for-scalable-go-project-structure/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/golang-standards-project-layout-a-community-driven-standard-for-scalable-go-project-structure/</guid><description>golang-standards/project-layout offers a widely adopted, unofficial standard for structuring Go projects. It balances scalability, clarity, and Go idioms for maintainable codebases.</description></item><item><title>Goose: a multi-provider, open-standard AI agent built in Rust</title><link>https://ramdi.fr/github-stars/goose-a-multi-provider-open-standard-ai-agent-built-in-rust/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/goose-a-multi-provider-open-standard-ai-agent-built-in-rust/</guid><description>Goose is a Rust-based AI agent supporting 15+ providers and 70+ extensions via the Model Context Protocol. It offers native apps, CLI, and API for flexible AI workflows.</description></item><item><title>Immich: a high-performance self-hosted photo and video management platform</title><link>https://ramdi.fr/github-stars/immich-a-high-performance-self-hosted-photo-and-video-management-platform/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/immich-a-high-performance-self-hosted-photo-and-video-management-platform/</guid><description>Immich offers a self-hosted, high-performance solution for photo and video management with facial recognition, metadata search, and multi-user support. Explore its architecture and design.</description></item><item><title>Inside AI Engineering Hub: a hands-on collection of production-ready AI projects</title><link>https://ramdi.fr/github-stars/inside-ai-engineering-hub-a-hands-on-collection-of-production-ready-ai-projects/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ai-engineering-hub-a-hands-on-collection-of-production-ready-ai-projects/</guid><description>AI Engineering Hub offers 90+ production-ready AI projects spanning LLMs, RAG, AI agents, and MCP, organized by difficulty and real-world use cases.</description></item><item><title>Inside Argo CD: GitOps continuous delivery for Kubernetes with Go</title><link>https://ramdi.fr/github-stars/inside-argo-cd-gitops-continuous-delivery-for-kubernetes-with-go/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-argo-cd-gitops-continuous-delivery-for-kubernetes-with-go/</guid><description>Argo CD implements GitOps for Kubernetes using Go, syncing Git state to clusters with a robust reconciliation loop. Explore its architecture, code strengths, and how to get started.</description></item><item><title>Inside ClickHouse: A column-oriented database for real-time analytics</title><link>https://ramdi.fr/github-stars/inside-clickhouse-a-column-oriented-database-for-real-time-analytics/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-clickhouse-a-column-oriented-database-for-real-time-analytics/</guid><description>ClickHouse is a C++ column-oriented database optimized for real-time analytical queries on large datasets. Explore its architecture, strengths, and how to get started.</description></item><item><title>Inside CowAgent: An extensible autonomous AI assistant with multi-modal and multi-model architecture</title><link>https://ramdi.fr/github-stars/inside-cowagent-an-extensible-autonomous-ai-assistant-with-multi-modal-and-multi-model-architecture/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-cowagent-an-extensible-autonomous-ai-assistant-with-multi-modal-and-multi-model-architecture/</guid><description>CowAgent is an extensible AI assistant framework with autonomous task planning, long-term memory, and multi-modal support. It integrates multiple LLMs and platforms for flexible AI workflows.</description></item><item><title>Jan: a local-first desktop app for large language models with Tauri and Rust</title><link>https://ramdi.fr/github-stars/jan-a-local-first-desktop-app-for-large-language-models-with-tauri-and-rust/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/jan-a-local-first-desktop-app-for-large-language-models-with-tauri-and-rust/</guid><description>Jan is an open-source desktop app that runs large language models locally using Tauri, Node.js, and Rust. It offers privacy, flexibility, and compatibility with many LLMs and cloud APIs.</description></item><item><title>Kong Gateway: A universal API gateway with advanced AI traffic routing and governance</title><link>https://ramdi.fr/github-stars/kong-gateway-a-universal-api-gateway-with-advanced-ai-traffic-routing-and-governance/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/kong-gateway-a-universal-api-gateway-with-advanced-ai-traffic-routing-and-governance/</guid><description>Kong Gateway extends traditional API management with universal LLM API routing, semantic security, and AI-specific features, enabling multi-vendor AI traffic governance in cloud-native environments.</description></item><item><title>laravel-ide-helper: improving Laravel IDE autocompletion with dynamic PHPDoc generation</title><link>https://ramdi.fr/github-stars/laravel-ide-helper-improving-laravel-ide-autocompletion-with-dynamic-phpdoc-generation/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/laravel-ide-helper-improving-laravel-ide-autocompletion-with-dynamic-phpdoc-generation/</guid><description>laravel-ide-helper generates dynamic PHPDocs for Laravel projects, enhancing IDE autocompletion by introspecting code and database schema for accurate type hints.</description></item><item><title>leetcode-master: a structured roadmap for mastering data structures and algorithms with LeetCode</title><link>https://ramdi.fr/github-stars/leetcode-master-a-structured-roadmap-for-mastering-data-structures-and-algorithms-with-leetcode/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/leetcode-master-a-structured-roadmap-for-mastering-data-structures-and-algorithms-with-leetcode/</guid><description>leetcode-master offers a curated, progressive path to mastering algorithms with LeetCode problems, detailed C++ explanations, video tutorials, and multi-language solutions.</description></item><item><title>LLM-driven browser automation with Browser-Use: a hands-on look</title><link>https://ramdi.fr/github-stars/llm-driven-browser-automation-with-browser-use-a-hands-on-look/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-driven-browser-automation-with-browser-use-a-hands-on-look/</guid><description>Browser-Use is a Python library enabling LLM-powered AI agents to automate browsers efficiently. It features a custom ChatBrowserUse model and supports cloud and local agents.</description></item><item><title>Managing Laravel permissions with spatie/laravel-permission: a practical look</title><link>https://ramdi.fr/github-stars/managing-laravel-permissions-with-spatie-laravel-permission-a-practical-look/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/managing-laravel-permissions-with-spatie-laravel-permission-a-practical-look/</guid><description>spatie/laravel-permission offers a database-driven, role-based access control solution tightly integrated with Laravel&amp;rsquo;s native authorization features, simplifying permission checks with the familiar can function.</description></item><item><title>MemPalace: local-first AI memory with strong semantic retrieval and no cloud dependency</title><link>https://ramdi.fr/github-stars/mempalace-local-first-ai-memory-with-strong-semantic-retrieval-and-no-cloud-dependency/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/mempalace-local-first-ai-memory-with-strong-semantic-retrieval-and-no-cloud-dependency/</guid><description>MemPalace offers a local-first AI memory system with 96.6% recall on conversation history retrieval without any cloud or LLM calls, emphasizing privacy and efficient semantic search.</description></item><item><title>MindsDB: unified AI-powered SQL querying and data fusion for diverse sources</title><link>https://ramdi.fr/github-stars/mindsdb-unified-ai-powered-sql-querying-and-data-fusion-for-diverse-sources/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/mindsdb-unified-ai-powered-sql-querying-and-data-fusion-for-diverse-sources/</guid><description>MindsDB offers an AI-powered SQL-compatible engine that unifies structured and unstructured data across 200+ sources, enabling semantic search and conversational analytics with AI agents.</description></item><item><title>n8n: hybrid AI-driven workflow automation with low-code flexibility</title><link>https://ramdi.fr/github-stars/n8n-hybrid-ai-driven-workflow-automation-with-low-code-flexibility/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/n8n-hybrid-ai-driven-workflow-automation-with-low-code-flexibility/</guid><description>n8n blends no-code workflow automation with AI agent workflows via LangChain, offering 400+ integrations and flexible self-hosting under a fair-code license.</description></item><item><title>Navigating NixOS and Flakes with a community-driven beginner’s guide</title><link>https://ramdi.fr/github-stars/navigating-nixos-and-flakes-with-a-community-driven-beginners-guide/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-nixos-and-flakes-with-a-community-driven-beginners-guide/</guid><description>A practical look at the &amp;ldquo;NixOS &amp;amp; Flakes Book,&amp;rdquo; an unofficial, community-driven guide demystifying NixOS and its experimental Flakes feature for newcomers.</description></item><item><title>Novu: Open-source multi-channel notification infrastructure with a unified API</title><link>https://ramdi.fr/github-stars/novu-open-source-multi-channel-notification-infrastructure-with-a-unified-api/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/novu-open-source-multi-channel-notification-infrastructure-with-a-unified-api/</guid><description>Novu offers a unified API for multi-channel notifications—email, SMS, push, chat—with an open core model balancing open source and commercial features. Here&amp;rsquo;s a deep dive.</description></item><item><title>OpenHands: Modular architecture for flexible AI agent development</title><link>https://ramdi.fr/github-stars/openhands-modular-architecture-for-flexible-ai-agent-development/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/openhands-modular-architecture-for-flexible-ai-agent-development/</guid><description>OpenHands offers a modular Python platform to build and deploy AI agents with SDK, CLI, GUI, and cloud options. It supports multiple LLMs and self-hosting for enterprises.</description></item><item><title>PyTorch's dynamic neural networks and tape-based autograd: a deep dive into flexible deep learning</title><link>https://ramdi.fr/github-stars/pytorch-s-dynamic-neural-networks-and-tape-based-autograd-a-deep-dive-into-flexible-deep-learning/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/pytorch-s-dynamic-neural-networks-and-tape-based-autograd-a-deep-dive-into-flexible-deep-learning/</guid><description>Explore PyTorch&amp;rsquo;s unique tape-based autograd and dynamic neural networks architecture that enables flexible model development and efficient GPU-accelerated tensor computation.</description></item><item><title>Requests-HTML: Pythonic web scraping with built-in JavaScript rendering</title><link>https://ramdi.fr/github-stars/requests-html-pythonic-web-scraping-with-built-in-javascript-rendering/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/requests-html-pythonic-web-scraping-with-built-in-javascript-rendering/</guid><description>Requests-HTML extends Python&amp;rsquo;s Requests library with Chromium-based JavaScript rendering, CSS/XPath selectors, and async support for scraping dynamic web pages easily.</description></item><item><title>Scrapling: adaptive web scraping with AI integration for resilient data extraction</title><link>https://ramdi.fr/github-stars/scrapling-adaptive-web-scraping-with-ai-integration-for-resilient-data-extraction/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/scrapling-adaptive-web-scraping-with-ai-integration-for-resilient-data-extraction/</guid><description>Scrapling offers an adaptive web scraping framework with AI integration to handle site changes and anti-bot systems, supporting large-scale concurrent crawling with proxy rotation.</description></item><item><title>Supabase: composable open-source backend-as-a-service built around Postgres</title><link>https://ramdi.fr/github-stars/supabase-composable-open-source-backend-as-a-service-built-around-postgres/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/supabase-composable-open-source-backend-as-a-service-built-around-postgres/</guid><description>Supabase combines specialized open-source tools around Postgres to offer a Firebase-like backend platform. Its modular architecture provides REST, GraphQL, auth, realtime, and AI features.</description></item><item><title>TensorFlow: a versatile platform powering machine learning from research to production</title><link>https://ramdi.fr/github-stars/tensorflow-a-versatile-platform-powering-machine-learning-from-research-to-production/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/tensorflow-a-versatile-platform-powering-machine-learning-from-research-to-production/</guid><description>TensorFlow is a comprehensive open-source machine learning platform with stable multi-language APIs and broad hardware support, evolving from research prototype to production-ready ecosystem.</description></item><item><title>ToolJet: bridging low-code visual app building with AI-powered internal tools</title><link>https://ramdi.fr/github-stars/tooljet-bridging-low-code-visual-app-building-with-ai-powered-internal-tools/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/tooljet-bridging-low-code-visual-app-building-with-ai-powered-internal-tools/</guid><description>ToolJet is an open-source low-code platform that combines drag-and-drop app building with AI-powered app generation and debugging, designed for rapid internal tool development and self-hosting.</description></item><item><title>Traefik: dynamic reverse proxy and load balancer for microservices</title><link>https://ramdi.fr/github-stars/traefik-dynamic-reverse-proxy-and-load-balancer-for-microservices/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/traefik-dynamic-reverse-proxy-and-load-balancer-for-microservices/</guid><description>Traefik is a Go-based reverse proxy and load balancer that automatically configures routes by integrating with orchestrators like Docker and Kubernetes, simplifying microservices deployments.</description></item><item><title>Uptime Kuma: A modern self-hosted uptime monitor with real-time reactive UI</title><link>https://ramdi.fr/github-stars/uptime-kuma-a-modern-self-hosted-uptime-monitor-with-real-time-reactive-ui/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/uptime-kuma-a-modern-self-hosted-uptime-monitor-with-real-time-reactive-ui/</guid><description>Uptime Kuma is a self-hosted monitoring tool with a Vue 3 reactive UI and WebSocket-powered real-time updates. Supports HTTP, TCP, WebSockets, Docker, and 90+ notification services.</description></item><item><title>Voyager: A Laravel Admin Panel Reflecting Full-Stack Patterns of Its Era</title><link>https://ramdi.fr/github-stars/voyager-a-laravel-admin-panel-reflecting-full-stack-patterns-of-its-era/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/voyager-a-laravel-admin-panel-reflecting-full-stack-patterns-of-its-era/</guid><description>Voyager is an archived Laravel admin panel combining Vue.js and Bootstrap with Laravel backend, showcasing full-stack patterns before Livewire and Tailwind CSS gained popularity.</description></item><item><title>Watchtower: automating Docker container updates for homelabs and dev environments</title><link>https://ramdi.fr/github-stars/watchtower-automating-docker-container-updates-for-homelabs-and-dev-environments/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-automating-docker-container-updates-for-homelabs-and-dev-environments/</guid><description>Watchtower automates Docker container base image updates by monitoring image registries and restarting containers with new images. Ideal for homelabs, not production.</description></item><item><title>awesome-scalability: a curated guide to real-world scalability patterns and principles</title><link>https://ramdi.fr/github-stars/awesome-scalability-a-curated-guide-to-real-world-scalability-patterns-and-principles/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-scalability-a-curated-guide-to-real-world-scalability-patterns-and-principles/</guid><description>awesome-scalability compiles expert articles and case studies on building scalable, reliable large-scale systems, offering practical insights for engineers facing system design challenges.</description></item><item><title>Hands-on with YOLOv5: A practical deep dive into Ultralytics' PyTorch vision model</title><link>https://ramdi.fr/github-stars/hands-on-with-yolov5-a-practical-deep-dive-into-ultralytics-pytorch-vision-model/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/hands-on-with-yolov5-a-practical-deep-dive-into-ultralytics-pytorch-vision-model/</guid><description>YOLOv5 by Ultralytics offers an accessible, fast, and accurate PyTorch-based computer vision toolkit for object detection, segmentation, and classification. Explore its architecture, strengths, and quickstart usage.</description></item><item><title>Hugging Face Transformers: a unified API for state-of-the-art AI models across modalities</title><link>https://ramdi.fr/github-stars/hugging-face-transformers-a-unified-api-for-state-of-the-art-ai-models-across-modalities/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/hugging-face-transformers-a-unified-api-for-state-of-the-art-ai-models-across-modalities/</guid><description>Hugging Face Transformers offers a unified Python API to access over 1 million pretrained AI models for text, vision, and audio, simplifying complex pipelines with its Pipeline API.</description></item><item><title>Inside Tesseract OCR: from legacy character recognition to LSTM-based line recognition</title><link>https://ramdi.fr/github-stars/inside-tesseract-ocr-from-legacy-character-recognition-to-lstm-based-line-recognition/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-tesseract-ocr-from-legacy-character-recognition-to-lstm-based-line-recognition/</guid><description>Tesseract OCR evolved from a legacy character pattern engine to a modern LSTM-based line recognition system supporting 100+ languages and multiple output formats. Here&amp;rsquo;s a technical dive.</description></item><item><title>Jenkins automation server: extensible Java CI/CD powerhouse with 2,000+ plugins</title><link>https://ramdi.fr/github-stars/jenkins-automation-server-extensible-java-ci-cd-powerhouse-with-2000-plugins/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/jenkins-automation-server-extensible-java-ci-cd-powerhouse-with-2000-plugins/</guid><description>Jenkins is a mature open-source Java automation server with 2,000+ plugins, automating CI/CD pipelines for millions worldwide. Its plugin system fuels versatility for diverse workflows.</description></item><item><title>Keras 3: Multi-backend deep learning framework simplifying model development across JAX, TensorFlow, and PyTorch</title><link>https://ramdi.fr/github-stars/keras-3-multi-backend-deep-learning-framework-simplifying-model-development-across-jax-tensorflow-and-pytorch/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/keras-3-multi-backend-deep-learning-framework-simplifying-model-development-across-jax-tensorflow-and-pytorch/</guid><description>Keras 3 introduces a multi-backend architecture supporting JAX, TensorFlow, PyTorch, and OpenVINO, enabling flexible, accelerated deep learning model development with up to 350% speedups.</description></item><item><title>Netdata: real-time edge monitoring with integrated machine learning anomaly detection</title><link>https://ramdi.fr/github-stars/netdata-real-time-edge-monitoring-with-integrated-machine-learning-anomaly-detection/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/netdata-real-time-edge-monitoring-with-integrated-machine-learning-anomaly-detection/</guid><description>Netdata delivers per-second real-time monitoring with minimal overhead. Its edge-based ML-powered anomaly detection and scalable distributed design make it a solid choice for diverse infrastructures.</description></item><item><title>OpenBB's Open Data Platform: Unified financial data integration for diverse analytics and AI</title><link>https://ramdi.fr/github-stars/openbb-s-open-data-platform-unified-financial-data-integration-for-diverse-analytics-and-ai/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/openbb-s-open-data-platform-unified-financial-data-integration-for-diverse-analytics-and-ai/</guid><description>OpenBB&amp;rsquo;s Open Data Platform offers a unified &amp;ldquo;connect once, consume everywhere&amp;rdquo; layer bridging financial data sources with Python, Excel, AI agents, and REST APIs for seamless analytics and AI use.</description></item><item><title>Pathway LLM App: unified pipelines for scalable retrieval-augmented generation and AI search</title><link>https://ramdi.fr/github-stars/pathway-llm-app-unified-pipelines-for-scalable-retrieval-augmented-generation-and-ai-search/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/pathway-llm-app-unified-pipelines-for-scalable-retrieval-augmented-generation-and-ai-search/</guid><description>Pathway LLM App provides integrated pipelines for scalable RAG and AI search, combining vector and full-text indexing with real-time sync for Gen AI apps at scale.</description></item><item><title>Mercury Agent: A TypeScript AI assistant with persistent "Second Brain" memory and permission-hardened safety</title><link>https://ramdi.fr/github-stars/mercury-agent-a-typescript-ai-assistant-with-persistent-second-brain-memory-and-permission-hardened-safety/</link><pubDate>Sat, 25 Apr 2026 19:24:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/mercury-agent-a-typescript-ai-assistant-with-persistent-second-brain-memory-and-permission-hardened-safety/</guid><description>Mercury Agent is a TypeScript AI assistant with a persistent SQLite-based memory system, permission-hardened tools, and extensible skills, designed for safe, adaptive 24/7 operation via CLI or Telegram.</description></item><item><title>openai/skills: modular agent skills for reusable AI capabilities</title><link>https://ramdi.fr/github-stars/openai-skills-modular-agent-skills-for-reusable-ai-capabilities/</link><pubDate>Sat, 25 Apr 2026 07:57:59 +0000</pubDate><guid>https://ramdi.fr/github-stars/openai-skills-modular-agent-skills-for-reusable-ai-capabilities/</guid><description>The openai/skills repo offers a catalog of modular &amp;lsquo;Agent Skills&amp;rsquo; for OpenAI Codex agents, enabling reusable AI functionalities with a standardized installation system.</description></item><item><title>Shopware 6: A flexible, API-first e-commerce platform built on Symfony and Vue.js</title><link>https://ramdi.fr/github-stars/shopware-6-a-flexible-api-first-e-commerce-platform-built-on-symfony-and-vue-js/</link><pubDate>Sat, 25 Apr 2026 07:57:59 +0000</pubDate><guid>https://ramdi.fr/github-stars/shopware-6-a-flexible-api-first-e-commerce-platform-built-on-symfony-and-vue-js/</guid><description>Shopware 6 is an open-source, API-first e-commerce platform leveraging Symfony 7 and Vue.js 3. It combines a full shopping cart with a flexible framework and dual extension systems.</description></item><item><title>Awesome LLM Apps: a practical collection of runnable AI agent and RAG templates</title><link>https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/</link><pubDate>Fri, 24 Apr 2026 18:26:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/</guid><description>Awesome LLM Apps offers 100+ runnable AI agent and RAG templates for quick LLM app development. It supports multiple providers and advanced multi-agent patterns with minimal setup.</description></item><item><title>Inside daily_stock_analysis: a multi-LLM automated stock analysis system</title><link>https://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/</link><pubDate>Fri, 24 Apr 2026 18:26:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/</guid><description>daily_stock_analysis combines multi-LLM integration with multi-source financial data to automate stock market decisions across global markets. It features flexible AI provider fallback and multi-channel alerts.</description></item><item><title>MLflow: unified AI engineering for LLMs and traditional machine learning</title><link>https://ramdi.fr/github-stars/mlflow-unified-ai-engineering-for-llms-and-traditional-machine-learning/</link><pubDate>Fri, 24 Apr 2026 18:26:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/mlflow-unified-ai-engineering-for-llms-and-traditional-machine-learning/</guid><description>MLflow offers a unified open-source platform managing lifecycle and observability for both LLM-based AI agents and traditional ML models, with vendor neutrality and production-grade features.</description></item><item><title>Gin: a zero-allocation, high-performance Go web framework for REST APIs</title><link>https://ramdi.fr/github-stars/gin-a-zero-allocation-high-performance-go-web-framework-for-rest-apis/</link><pubDate>Fri, 24 Apr 2026 14:49:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/gin-a-zero-allocation-high-performance-go-web-framework-for-rest-apis/</guid><description>Gin is a Go HTTP web framework known for its zero-allocation router and up to 40x faster performance. It balances speed with developer-friendly API and middleware support.</description></item><item><title>Polaris: A provider-agnostic feature flag and config management tool in Go</title><link>https://ramdi.fr/github-stars/polaris-a-provider-agnostic-feature-flag-and-config-management-tool-in-go/</link><pubDate>Fri, 24 Apr 2026 14:49:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/polaris-a-provider-agnostic-feature-flag-and-config-management-tool-in-go/</guid><description>Polaris is a Go library that abstracts feature flag and configuration management across providers via clean interfaces. It targets flexibility but requires integration effort.</description></item><item><title>Browser Harness: a self-healing LLM agent for browser automation via Chrome DevTools</title><link>https://ramdi.fr/github-stars/browser-harness-a-self-healing-llm-agent-for-browser-automation-via-chrome-devtools/</link><pubDate>Fri, 24 Apr 2026 07:26:29 +0000</pubDate><guid>https://ramdi.fr/github-stars/browser-harness-a-self-healing-llm-agent-for-browser-automation-via-chrome-devtools/</guid><description>Browser Harness enables LLMs to automate browsers by dynamically generating helper functions using the Chrome DevTools Protocol, with minimal Python code and free remote browsers.</description></item><item><title>Cloudflare Agents: Building persistent AI agents with stateful Durable Objects</title><link>https://ramdi.fr/github-stars/cloudflare-agents-building-persistent-ai-agents-with-stateful-durable-objects/</link><pubDate>Fri, 24 Apr 2026 07:26:29 +0000</pubDate><guid>https://ramdi.fr/github-stars/cloudflare-agents-building-persistent-ai-agents-with-stateful-durable-objects/</guid><description>Cloudflare Agents offers a TypeScript framework for stateful AI agents on Durable Objects with real-time communication, AI integration, and sandboxed code execution.</description></item><item><title>PinchTab: Token-efficient Chrome automation for AI agents with Go</title><link>https://ramdi.fr/github-stars/pinchtab-token-efficient-chrome-automation-for-ai-agents-with-go/</link><pubDate>Fri, 24 Apr 2026 07:26:29 +0000</pubDate><guid>https://ramdi.fr/github-stars/pinchtab-token-efficient-chrome-automation-for-ai-agents-with-go/</guid><description>PinchTab is a Go HTTP server enabling AI agents to control Chrome instances efficiently by extracting structured text, cutting token costs 5-13x compared to screenshots. Local-first, multi-instance, secure.</description></item><item><title>Syncthing: secure, decentralized continuous file synchronization in Go</title><link>https://ramdi.fr/github-stars/syncthing-secure-decentralized-continuous-file-synchronization-in-go/</link><pubDate>Fri, 24 Apr 2026 07:26:29 +0000</pubDate><guid>https://ramdi.fr/github-stars/syncthing-secure-decentralized-continuous-file-synchronization-in-go/</guid><description>Syncthing is an open-source Go tool for continuous, secure, decentralized file synchronization across devices, emphasizing data safety and privacy.</description></item><item><title>Hatchet: durable background task orchestration with Go and Postgres</title><link>https://ramdi.fr/github-stars/hatchet-durable-background-task-orchestration-with-go-and-postgres/</link><pubDate>Thu, 23 Apr 2026 23:41:06 +0000</pubDate><guid>https://ramdi.fr/github-stars/hatchet-durable-background-task-orchestration-with-go-and-postgres/</guid><description>Hatchet offers a durable, fault-tolerant background task and workflow engine built with Go and Postgres. It supports complex DAG workflows, multi-language SDKs, and advanced flow control.</description></item><item><title>OpenAI Codex CLI: local-first AI coding assistant with ChatGPT integration</title><link>https://ramdi.fr/github-stars/openai-codex-cli-local-first-ai-coding-assistant-with-chatgpt-integration/</link><pubDate>Thu, 23 Apr 2026 23:28:46 +0000</pubDate><guid>https://ramdi.fr/github-stars/openai-codex-cli-local-first-ai-coding-assistant-with-chatgpt-integration/</guid><description>OpenAI Codex CLI brings AI coding assistance local to your terminal, integrating with ChatGPT plans for powerful hybrid AI workflows. Here&amp;rsquo;s how it works and who it&amp;rsquo;s for.</description></item></channel></rss>