<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Noureddine RAMDI</title><link>https://ramdi.fr/tags/ai/</link><description>Recent content in Ai 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/ai/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 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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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 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 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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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 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>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>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>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>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 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>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>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>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>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>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>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-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>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>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>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>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>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>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>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>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>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>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>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>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 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>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>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-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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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 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>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>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>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>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>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>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>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>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>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>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>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>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>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>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 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>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>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>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>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>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>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>Hunting Tokens/sec: 4 LLM Backends, 1 Hard Ceiling (Part 2/4)</title><link>https://ramdi.fr/post/ai-llm/local-llm-tokens-per-second-benchmark/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://ramdi.fr/post/ai-llm/local-llm-tokens-per-second-benchmark/</guid><description>Part 2 of 4: a benchmark journal across nixpkgs llama.cpp, upstream master, and ik_llama.cpp on Qwen3.6-27B. Six hours, four backends, all converging at 66 tok/s — and the physical reason why.</description></item><item><title>Speculative Decoding Meets Hybrid SSM: Why It Breaks (Part 3/4)</title><link>https://ramdi.fr/post/ai-llm/local-llm-speculative-decoding-hybrid-ssm/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://ramdi.fr/post/ai-llm/local-llm-speculative-decoding-hybrid-ssm/</guid><description>Part 3 of 4: a deep-dive into why speculative decoding silently breaks (or runs anti-economically) on hybrid attention+SSM architectures like Qwen3.6, Mamba-2, and RWKV — and what would need to change upstream to fix it.</description></item><item><title>The NixOS Setup for llama.cpp: Declarative and Reproducible (Part 4/4)</title><link>https://ramdi.fr/post/ai-llm/local-llm-nixos-llama-server-module/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://ramdi.fr/post/ai-llm/local-llm-nixos-llama-server-module/</guid><description>Part 4 of 4: the actual NixOS module, llama-pull helper, claude-code-router wiring, and one-line workflow for switching models. Five Nix files for a complete, isolated, rollback-able local LLM service.</description></item><item><title>Why I Serve Qwen3.6 Locally on My RTX 5090 (Part 1/4)</title><link>https://ramdi.fr/post/ai-llm/local-llm-rtx5090-why-nixos/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://ramdi.fr/post/ai-llm/local-llm-rtx5090-why-nixos/</guid><description>Part 1 of 4: motivation, hardware, and stack choices for serving Qwen3.6-27B locally on a 32 GB consumer GPU with NixOS, before any benchmarks or trade-offs kick in.</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>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>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>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>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>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>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>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><item><title>Building AI Agents with Claude Code</title><link>https://ramdi.fr/post/ai-llm/building-ai-agents-with-claude/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://ramdi.fr/post/ai-llm/building-ai-agents-with-claude/</guid><description>How to leverage Claude Code to build autonomous AI agents that publish content, review code, and manage workflows.</description></item></channel></rss>