<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automation on Noureddine RAMDI</title><link>https://ramdi.fr/tags/automation/</link><description>Recent content in Automation 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/automation/index.xml" rel="self" type="application/rss+xml"/><item><title>Apple Mobile Drivers Installer: Streamlining Apple USB driver setup on Windows without iTunes</title><link>https://ramdi.fr/github-stars/apple-mobile-drivers-installer-streamlining-apple-usb-driver-setup-on-windows-without-itunes/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/apple-mobile-drivers-installer-streamlining-apple-usb-driver-setup-on-windows-without-itunes/</guid><description>A PowerShell script installs Apple USB and Mobile Device Ethernet drivers on Windows by fetching official .cab packages from Microsoft Update, avoiding iTunes bloat and delays.</description></item><item><title>Automating Tailscale updates on GL.iNet routers with a smart shell script</title><link>https://ramdi.fr/github-stars/automating-tailscale-updates-on-gl-inet-routers-with-a-smart-shell-script/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-tailscale-updates-on-gl-inet-routers-with-a-smart-shell-script/</guid><description>A shell script automates Tailscale installation and updates on GL.iNet routers, auto-detecting CPU architecture and optimizing binaries to fit small flash storage.</description></item><item><title>Automating YouTube content creation with youtube-automation-agent</title><link>https://ramdi.fr/github-stars/automating-youtube-content-creation-with-youtube-automation-agent/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-youtube-content-creation-with-youtube-automation-agent/</guid><description>Explore youtube-automation-agent, a Node.js tool that automates YouTube content creation using AI and the YouTube API. Setup is streamlined via an interactive wizard.</description></item><item><title>awesome-osint-arsenal: automated multi-distro provisioning for a massive OSINT and security toolkit</title><link>https://ramdi.fr/github-stars/awesome-osint-arsenal-automated-multi-distro-provisioning-for-a-massive-osint-and-security-toolkit/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-osint-arsenal-automated-multi-distro-provisioning-for-a-massive-osint-and-security-toolkit/</guid><description>awesome-osint-arsenal provides a single-command shell installer that auto-detects Linux distros and installs 750+ OSINT and security tools idempotently, turning an awesome list into a deployable arsenal.</description></item><item><title>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>Cyber Detective's OSINT Tools Collection: A curated index for systematic open-source intelligence workflows</title><link>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</guid><description>A curated collection of 1000+ OSINT tools organized by investigative domains, supporting systematic workflows in open-source intelligence gathering.</description></item><item><title>Drawbridge: Bridging UI annotations and AI coding assistants with a universal task protocol</title><link>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</guid><description>Drawbridge is a Chrome extension that turns browser UI annotations into structured AI tasks, integrating with Claude Code, Cursor, Codex, and Windsurf for AI-assisted coding.</description></item><item><title>Formalizing academic paper writing as a programmable pipeline with Claude Code skills</title><link>https://ramdi.fr/github-stars/formalizing-academic-paper-writing-as-a-programmable-pipeline-with-claude-code-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/formalizing-academic-paper-writing-as-a-programmable-pipeline-with-claude-code-skills/</guid><description>This repo implements academic paper planning and writing as a two-phase Claude Code skill pipeline with a 35-point quality rubric enforced by Python scripts at each stage.</description></item><item><title>GarudRecon: orchestrating 80+ security tools for automated recon with Bash</title><link>https://ramdi.fr/github-stars/garudrecon-orchestrating-80-security-tools-for-automated-recon-with-bash/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/garudrecon-orchestrating-80-security-tools-for-automated-recon-with-bash/</guid><description>GarudRecon automates reconnaissance by orchestrating 80+ security tools in Bash. Its design tradeoffs and installation steps reveal why Bash remains a practical choice for heavy string manipulation workflows.</description></item><item><title>Hackingtool Plugin: a smart dispatcher for 183 pentesting tools with native, WSL, and Docker backends</title><link>https://ramdi.fr/github-stars/hackingtool-plugin-a-smart-dispatcher-for-183-pentesting-tools-with-native-wsl-and-docker-backends/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/hackingtool-plugin-a-smart-dispatcher-for-183-pentesting-tools-with-native-wsl-and-docker-backends/</guid><description>Hackingtool-plugin wraps 183 pentesting and OSINT tools behind a Claude Code plugin. It smartly dispatches commands to native Bash, WSL, or Docker containers, outputting clean JSON.</description></item><item><title>Home-AssistantConfig: a modular, infrastructure-as-code approach to smart home automation</title><link>https://ramdi.fr/github-stars/home-assistantconfig-a-modular-infrastructure-as-code-approach-to-smart-home-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/home-assistantconfig-a-modular-infrastructure-as-code-approach-to-smart-home-automation/</guid><description>Explore CCOSTAN&amp;rsquo;s Home-AssistantConfig, a 5K-star modular YAML architecture for Home Assistant smart homes, with Docker orchestration and real-world hardware integrations.</description></item><item><title>homeassistant-ai/skills: standardizing Home Assistant skills for AI coding agents</title><link>https://ramdi.fr/github-stars/homeassistant-ai-skills-standardizing-home-assistant-skills-for-ai-coding-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/homeassistant-ai-skills-standardizing-home-assistant-skills-for-ai-coding-agents/</guid><description>homeassistant-ai/skills provides a modular collection of Home Assistant skills for AI coding agents supporting the Agent Skills standard, easing integration with tools like Claude Code and Copilot.</description></item><item><title>how 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>Inside reconFTW: orchestrating 50+ security tools for automated reconnaissance</title><link>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-reconftw-orchestrating-50-security-tools-for-automated-reconnaissance/</guid><description>reconFTW automates over 50 security tools into a unified Shell-based pipeline for penetration testers and bug bounty hunters, supporting full lifecycle recon and distributed scanning.</description></item><item><title>Inside the claude-code-guide: a living CLI reference for Anthropic's Claude Code</title><link>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</guid><description>The claude-code-guide repo is a continuously auto-updated shell-based CLI reference manual for Anthropic&amp;rsquo;s Claude Code AI assistant, covering installation, MCP integration, and extensions.</description></item><item><title>Inside Xalgorix: an LLM-driven autonomous pentesting platform with a 22-phase testing pipeline</title><link>https://ramdi.fr/github-stars/inside-xalgorix-an-llm-driven-autonomous-pentesting-platform-with-a-22-phase-testing-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-xalgorix-an-llm-driven-autonomous-pentesting-platform-with-a-22-phase-testing-pipeline/</guid><description>Xalgorix is a Go-based autonomous pentesting platform driven by LLMs, featuring a 22-phase methodology from recon to exploit verification, with live telemetry and reporting.</description></item><item><title>Integrating Google Workspace with AI agents via the google-docs-mcp server</title><link>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</guid><description>The google-docs-mcp server exposes Google Docs, Sheets, Drive, Gmail, and Calendar as callable tools for AI agents like Claude Desktop, enabling deep document and email automation via OAuth2.</description></item><item><title>Kodo: orchestrating AI coding agents with a plain API orchestrator for better autonomous development</title><link>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/kodo-orchestrating-ai-coding-agents-with-a-plain-api-orchestrator-for-better-autonomous-development/</guid><description>Kodo is a Python multi-agent orchestration layer coordinating AI coding agents via a plain API orchestrator, improving autonomous coding accuracy by 24% over single-agent setups.</description></item><item><title>LLM4Pentest: A curated knowledge hub on large language models for automated penetration testing</title><link>https://ramdi.fr/github-stars/llm4pentest-a-curated-knowledge-hub-on-large-language-models-for-automated-penetration-testing/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm4pentest-a-curated-knowledge-hub-on-large-language-models-for-automated-penetration-testing/</guid><description>LLM4Pentest aggregates 40+ research papers and tools tracking the evolving role of LLMs in automated penetration testing, highlighting progress and limitations.</description></item><item><title>llmstxt_architect: automated generation and maintenance of llms.txt files for LLM-aware websites</title><link>https://ramdi.fr/github-stars/llmstxt-architect-automated-generation-and-maintenance-of-llms-txt-files-for-llm-aware-websites/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/llmstxt-architect-automated-generation-and-maintenance-of-llms-txt-files-for-llm-aware-websites/</guid><description>llmstxt_architect automates generating and updating llms.txt files that communicate website content to LLMs. Supports multi-provider LLMs and preserves file structure during updates.</description></item><item><title>loki-mode: AI-powered autonomous software development from specs</title><link>https://ramdi.fr/github-stars/loki-mode-ai-powered-autonomous-software-development-from-specs/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/loki-mode-ai-powered-autonomous-software-development-from-specs/</guid><description>loki-mode automates software builds from Markdown PRDs, GitHub issues, or OpenAPI specs using AI and a Bun-based runtime. This article explores its architecture, strengths, and quickstart.</description></item><item><title>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>MoeMail: a serverless, programmable temporary email service with AI agent CLI</title><link>https://ramdi.fr/github-stars/moemail-a-serverless-programmable-temporary-email-service-with-ai-agent-cli/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/moemail-a-serverless-programmable-temporary-email-service-with-ai-agent-cli/</guid><description>MoeMail is a self-hosted temporary email platform built with Next.js and Cloudflare Workers. Its agent-first CLI enables AI-driven email automation, bridging privacy and programmable email workflows.</description></item><item><title>native-devtools-mcp: cross-platform AI agent control of native apps with macOS accessibility precision</title><link>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</guid><description>native-devtools-mcp provides a Rust-based MCP server letting AI agents control native desktop apps on macOS/Windows, Chrome/Electron browsers, and Android devices. It features macOS AX dispatch for precise, focus-free app control.</description></item><item><title>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 Agents: orchestrating adversarial AI agents with shell-driven provisioning</title><link>https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/</guid><description>OpenClaw Agents deploys paired AI agents using shell scripts for adversarial collaboration in OpenClaw gateway, supporting multi-channel or local workflows with safe config merges.</description></item><item><title>OpenUtter: a headless Google Meet bot skill for the OpenClaw AI agent framework</title><link>https://ramdi.fr/github-stars/openutter-a-headless-google-meet-bot-skill-for-the-openclaw-ai-agent-framework/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openutter-a-headless-google-meet-bot-skill-for-the-openclaw-ai-agent-framework/</guid><description>OpenUtter is a headless Google Meet bot skill for OpenClaw, capturing live captions as timestamped transcripts via headless Chromium automation. It supports guest and authenticated joins with retry logic.</description></item><item><title>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>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>ProxmoxMCP-Plus: A Python toolset for advanced Proxmox MCP protocol interaction</title><link>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</guid><description>ProxmoxMCP-Plus is a Python-based toolset enabling advanced interaction with Proxmox VE via MCP protocol. It offers flexible config and runtime modes for sysadmins and devs.</description></item><item><title>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>Turning LLMs into a Beamer LaTeX presentation compiler with automated quality control</title><link>https://ramdi.fr/github-stars/turning-llms-into-a-beamer-latex-presentation-compiler-with-automated-quality-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/turning-llms-into-a-beamer-latex-presentation-compiler-with-automated-quality-control/</guid><description>This Claude Code skill transforms LLMs into a multi-phase Beamer LaTeX presentation compiler with automated design, visual, and pedagogical audits for academic slides.</description></item><item><title>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>Automating Proxmox VE deployments with community-scripts/ProxmoxVE</title><link>https://ramdi.fr/github-stars/automating-proxmox-ve-deployments-with-community-scripts-proxmoxve-1239/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-proxmox-ve-deployments-with-community-scripts-proxmoxve-1239/</guid><description>community-scripts/ProxmoxVE offers hundreds of shell scripts that automate self-hosted service deployment on Proxmox VE with a single command, simplifying complex container provisioning.</description></item><item><title>Grok-CLI: a terminal coding agent with Telegram remote control and sub-agent delegation</title><link>https://ramdi.fr/github-stars/grok-cli-a-terminal-coding-agent-with-telegram-remote-control-and-sub-agent-delegation/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/grok-cli-a-terminal-coding-agent-with-telegram-remote-control-and-sub-agent-delegation/</guid><description>Grok-CLI is a TypeScript terminal coding agent connecting to xAI&amp;rsquo;s Grok API, featuring Telegram remote control, sub-agent delegation, and macOS automation for interactive and headless workflows.</description></item><item><title>Prefect: Python-native workflow orchestration made simple and scalable</title><link>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/prefect-python-native-workflow-orchestration-made-simple-and-scalable/</guid><description>Prefect turns Python scripts into production-ready workflows with minimal code changes, offering a self-hosted UI and cloud option for reliable, observable pipelines.</description></item><item><title>zx: turning Node.js into a first-class shell scripting environment</title><link>https://ramdi.fr/github-stars/zx-turning-node-js-into-a-first-class-shell-scripting-environment/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/zx-turning-node-js-into-a-first-class-shell-scripting-environment/</guid><description>zx is a JavaScript library from Google that transforms Node.js into a capable shell scripting tool with promise-based API, automatic escaping, and cross-platform support.</description></item><item><title>Automating Matplotlib cheat sheets with programmatic figures and LaTeX</title><link>https://ramdi.fr/github-stars/automating-matplotlib-cheat-sheets-with-programmatic-figures-and-latex/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-matplotlib-cheat-sheets-with-programmatic-figures-and-latex/</guid><description>This repo automates Matplotlib cheat sheet generation by programmatically creating figures with Python and compiling polished PDFs using xelatex, offering a reproducible documentation workflow.</description></item><item><title>Automating remote NixOS installation with nixos-anywhere: a practical look</title><link>https://ramdi.fr/github-stars/automating-remote-nixos-installation-with-nixos-anywhere-a-practical-look/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-remote-nixos-installation-with-nixos-anywhere-a-practical-look/</guid><description>nixos-anywhere automates remote NixOS installation via SSH, using kexec for bare-metal provisioning without boot media. Here’s how it works under the hood and how to get started.</description></item><item><title>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>Automating faceless video content creation with AI workflows and Syllaby.io</title><link>https://ramdi.fr/github-stars/automating-faceless-video-content-creation-with-ai-workflows-and-syllaby-io/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-faceless-video-content-creation-with-ai-workflows-and-syllaby-io/</guid><description>Explore how this guide and course structure the automation of faceless video content creation using AI tools, focusing on workflow, multi-platform scheduling, and monetization strategies.</description></item><item><title>BotBrowser: a Chromium core with per-context fingerprint bundles for cross-platform privacy uniformity</title><link>https://ramdi.fr/github-stars/botbrowser-a-chromium-core-with-per-context-fingerprint-bundles-for-cross-platform-privacy-uniformity/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/botbrowser-a-chromium-core-with-per-context-fingerprint-bundles-for-cross-platform-privacy-uniformity/</guid><description>BotBrowser modifies Chromium to provide deterministic fingerprint uniformity across platforms with multi-layer noise injection and per-context bundles, saving 29% memory at scale.</description></item><item><title>How Claude Code's generate-shortcuts-skill turns AI into a macOS Shortcuts generator</title><link>https://ramdi.fr/github-stars/how-claude-code-s-generate-shortcuts-skill-turns-ai-into-a-macos-shortcuts-generator/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-claude-code-s-generate-shortcuts-skill-turns-ai-into-a-macos-shortcuts-generator/</guid><description>Explore how a prompt-engineering skill package enables Claude Code AI to generate valid macOS/iOS Shortcuts plist files without runtime code, using structured markdown references.</description></item><item><title>Inside Company Research Agent: automating business intelligence with multi-API AI agents</title><link>https://ramdi.fr/github-stars/inside-company-research-agent-automating-business-intelligence-with-multi-api-ai-agents/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-company-research-agent-automating-business-intelligence-with-multi-api-ai-agents/</guid><description>Company Research Agent automates detailed business research by orchestrating OpenAI, Google Gemini, Tavily APIs and geolocation data via a Python backend and Node.js frontend. Setup script streamlines install.</description></item><item><title>Agentic Coding Flywheel Setup: Bootstrapping AI-powered coding agents on a VPS</title><link>https://ramdi.fr/github-stars/agentic-coding-flywheel-setup-bootstrapping-ai-powered-coding-agents-on-a-vps/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentic-coding-flywheel-setup-bootstrapping-ai-powered-coding-agents-on-a-vps/</guid><description>Agentic Coding Flywheel Setup automates turning a fresh Ubuntu VPS into an AI-powered coding environment with autonomous agents, simplifying complex setups into a single command.</description></item><item><title>Atuin Desktop: executable runbooks with local-first CRDT sync and shell integration</title><link>https://ramdi.fr/github-stars/atuin-desktop-executable-runbooks-with-local-first-crdt-sync-and-shell-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/atuin-desktop-executable-runbooks-with-local-first-crdt-sync-and-shell-integration/</guid><description>Atuin Desktop offers a local-first, CRDT-powered runbook editor that executes shell commands, DB queries, and HTTP requests with Jinja templating. It syncs via Atuin Hub and supports offline workflows.</description></item><item><title>Building private AI workflows with the n8n self-hosted AI starter kit</title><link>https://ramdi.fr/github-stars/building-private-ai-workflows-with-the-n8n-self-hosted-ai-starter-kit/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-private-ai-workflows-with-the-n8n-self-hosted-ai-starter-kit/</guid><description>Spin up a private AI agent stack in under 5 minutes with n8n&amp;rsquo;s self-hosted AI starter kit. Combines local LLMs, automation, and vector search for secure AI workflows.</description></item><item><title>DontFeedTheAI: Wizard-driven deployment of Claude AI proxies</title><link>https://ramdi.fr/github-stars/dontfeedtheai-wizard-driven-deployment-of-claude-ai-proxies/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/dontfeedtheai-wizard-driven-deployment-of-claude-ai-proxies/</guid><description>DontFeedTheAI provides an easy wizard-driven way to deploy Claude AI proxies across platforms. It automates engagement setup, deployment, and tunnel management for lightweight AI model access.</description></item><item><title>gnhf: Git-backed orchestration of autonomous AI coding agents</title><link>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnhf-git-backed-orchestration-of-autonomous-ai-coding-agents/</guid><description>gnhf runs AI coding agents in autonomous git-backed loops, enabling persistent, version-controlled iterative code generation with rollback and resume capabilities.</description></item><item><title>Goose Skills: Modular GTM AI agent skills for sales and marketing automation</title><link>https://ramdi.fr/github-stars/goose-skills-modular-gtm-ai-agent-skills-for-sales-and-marketing-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/goose-skills-modular-gtm-ai-agent-skills-for-sales-and-marketing-automation/</guid><description>Goose Skills provides 108 reusable AI agent skills for sales, marketing, and competitive intelligence, structured as atomic tools, skill chains, and workflows for coding agents like Claude and Codex.</description></item><item><title>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 Shuffle: an open-source platform for distributed security automation workflows</title><link>https://ramdi.fr/github-stars/inside-shuffle-an-open-source-platform-for-distributed-security-automation-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-shuffle-an-open-source-platform-for-distributed-security-automation-workflows/</guid><description>Shuffle is an open-source SOAR platform with a distributed execution model that scales security automation across cloud and on-prem environments using Golang backend and ReactJS frontend.</description></item><item><title>ios-marketing-capture: in-app screenshot automation for SwiftUI iOS apps</title><link>https://ramdi.fr/github-stars/ios-marketing-capture-in-app-screenshot-automation-for-swiftui-ios-apps/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ios-marketing-capture-in-app-screenshot-automation-for-swiftui-ios-apps/</guid><description>ios-marketing-capture automates App Store screenshot generation by injecting debug code into SwiftUI apps, bypassing XCUITest, and navigating screens programmatically. It supports locale looping and element-level renders.</description></item><item><title>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>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 Computer Use: orchestrating multi-agent AI for real computer control with containerized VMs</title><link>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-computer-use-orchestrating-multi-agent-ai-for-real-computer-control-with-containerized-vms/</guid><description>Open Computer Use enables AI agents to control real computers using specialized Browser, Terminal, and Desktop agents running in isolated Docker VMs. It achieves 82% on the OSWorld benchmark.</description></item><item><title>Paper2Agent: Automating the transformation of research paper codebases into interactive MCP servers</title><link>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</guid><description>Paper2Agent automates converting research paper codebases into interactive MCP servers for AI coding agents, handling tutorial extraction, tool generation, and test coverage with minimal human input.</description></item><item><title>Passmark: AI-driven browser regression testing with multi-model consensus and caching</title><link>https://ramdi.fr/github-stars/passmark-ai-driven-browser-regression-testing-with-multi-model-consensus-and-caching/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/passmark-ai-driven-browser-regression-testing-with-multi-model-consensus-and-caching/</guid><description>Passmark extends Playwright with AI-powered natural language E2E tests using multi-model consensus, Redis caching, and auto-healing for more stable browser automation.</description></item><item><title>saasmail: a Cloudflare-native email sending and routing solution for SaaS</title><link>https://ramdi.fr/github-stars/saasmail-a-cloudflare-native-email-sending-and-routing-solution-for-saas/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/saasmail-a-cloudflare-native-email-sending-and-routing-solution-for-saas/</guid><description>saasmail leverages Cloudflare Workers and Email Routing to provide a SaaS-focused email sending and routing solution with automation via Claude Code skills.</description></item><item><title>SafestClaw: Combining simple AI setup with automated security scanning in Python</title><link>https://ramdi.fr/github-stars/safestclaw-combining-simple-ai-setup-with-automated-security-scanning-in-python/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/safestclaw-combining-simple-ai-setup-with-automated-security-scanning-in-python/</guid><description>SafestClaw offers a Python CLI tool that simplifies AI model configuration and automates security scanning across projects. It supports cloud and local AI models with zero YAML config editing.</description></item><item><title>smux: a shell-driven multi-agent communication layer using tmux panes</title><link>https://ramdi.fr/github-stars/smux-a-shell-driven-multi-agent-communication-layer-using-tmux-panes/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/smux-a-shell-driven-multi-agent-communication-layer-using-tmux-panes/</guid><description>smux leverages tmux panes and a CLI bridge to enable AI agents to collaborate inside the terminal without APIs or shared state. Simple install, macOS/Linux compatible.</description></item><item><title>superseo-skills: automating SEO workflows with autonomous Claude Code skills</title><link>https://ramdi.fr/github-stars/superseo-skills-automating-seo-workflows-with-autonomous-claude-code-skills/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/superseo-skills-automating-seo-workflows-with-autonomous-claude-code-skills/</guid><description>superseo-skills offers 11 Claude Code skills that autonomously research and analyze SEO data, featuring an anti-AI-slop ruleset to ensure high-quality AI-generated content.</description></item><item><title>tui-use: synchronizing AI agents with interactive terminal programs through PTY event streams</title><link>https://ramdi.fr/github-stars/tui-use-synchronizing-ai-agents-with-interactive-terminal-programs-through-pty-event-streams/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tui-use-synchronizing-ai-agents-with-interactive-terminal-programs-through-pty-event-streams/</guid><description>tui-use bridges AI agents and terminal apps by intercepting PTY output with a headless xterm emulator, enabling smart wait semantics for reliable interaction in CLI TUIs.</description></item><item><title>under the hood of nothing archive: archiving nothing os ota firmware with static site automation</title><link>https://ramdi.fr/github-stars/under-the-hood-of-nothing-archive-archiving-nothing-os-ota-firmware-with-static-site-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/under-the-hood-of-nothing-archive-archiving-nothing-os-ota-firmware-with-static-site-automation/</guid><description>Nothing Archive provides a static site hub for Nothing OS OTA firmware archiving, using automated OEM scraping, AOSP delta OTA extraction, and community-driven tooling.</description></item><item><title>A Python bot for safe mean-reversion trading on Polymarket with triple-gate live trading safety</title><link>https://ramdi.fr/github-stars/a-python-bot-for-safe-mean-reversion-trading-on-polymarket-with-triple-gate-live-trading-safety/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-python-bot-for-safe-mean-reversion-trading-on-polymarket-with-triple-gate-live-trading-safety/</guid><description>An async Python bot automates a mean-reversion strategy on Polymarket&amp;rsquo;s non-sports binary markets. It features a triple-gate environment variable safety model that defaults to paper trading, minimizing accidental live trades.</description></item><item><title>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 Facebook Marketplace searches with ai-marketplace-monitor</title><link>https://ramdi.fr/github-stars/automating-facebook-marketplace-searches-with-ai-marketplace-monitor/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-facebook-marketplace-searches-with-ai-marketplace-monitor/</guid><description>ai-marketplace-monitor automates Facebook Marketplace searches using Python and Playwright, enabling personalized item monitoring with notifications. Legal constraints limit its use to hobbyist scenarios.</description></item><item><title>awesome-os-setup: a unified cross-platform OS environment setup via YAML and package manager abstraction</title><link>https://ramdi.fr/github-stars/awesome-os-setup-a-unified-cross-platform-os-environment-setup-via-yaml-and-package-manager-abstraction/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-os-setup-a-unified-cross-platform-os-environment-setup-via-yaml-and-package-manager-abstraction/</guid><description>awesome-os-setup automates environment setup across Windows, Linux, macOS, and WSL2 using a YAML-driven package catalog and unified package manager abstraction. It simplifies multi-OS workflows.</description></item><item><title>claude-hub: autonomous AI-driven GitHub workflows with container isolation and webhook security</title><link>https://ramdi.fr/github-stars/claude-hub-autonomous-ai-driven-github-workflows-with-container-isolation-and-webhook-security/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-hub-autonomous-ai-driven-github-workflows-with-container-isolation-and-webhook-security/</guid><description>claude-hub bridges Claude Code with GitHub for autonomous AI development workflows, featuring container isolation, multi-auth support, and CI/CD monitoring via webhooks.</description></item><item><title>claude-memory-compiler: automating AI conversation memory compilation for Claude Code</title><link>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-memory-compiler-automating-ai-conversation-memory-compilation-for-claude-code/</guid><description>claude-memory-compiler automates capturing and compiling Claude Code conversations into a knowledge base, improving AI agent memory management with minimal setup.</description></item><item><title>Flow-Like: a Rust-native workflow engine with 1000x performance over interpreted runtimes</title><link>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</guid><description>Flow-Like is a Rust-native workflow automation engine delivering ~244,000 workflows/sec at ~0.6ms latency—1000x faster than typical Node.js/Python engines. It supports 900+ nodes with type-safe contracts and local-first execution.</description></item><item><title>FlowKit: automating AI video generation with visual consistency via a Chrome extension bridge</title><link>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</guid><description>FlowKit automates AI video creation using Google Flow API with a unique reference image system ensuring visual consistency across scenes. It pairs a FastAPI backend with a Chrome extension bridge.</description></item><item><title>headless-terminal: programmatic control and synchronization of interactive TUIs in Go</title><link>https://ramdi.fr/github-stars/headless-terminal-programmatic-control-and-synchronization-of-interactive-tuis-in-go/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/headless-terminal-programmatic-control-and-synchronization-of-interactive-tuis-in-go/</guid><description>headless-terminal is a Go CLI tool that runs a Unix-socket daemon for controlling TUIs like vim and htop, solving synchronization and VT parsing challenges with libghostty-vt.</description></item><item><title>oh-my-kiro: deterministic hooks and reliable loops for AI coding agents</title><link>https://ramdi.fr/github-stars/oh-my-kiro-deterministic-hooks-and-reliable-loops-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/oh-my-kiro-deterministic-hooks-and-reliable-loops-for-ai-coding-agents/</guid><description>oh-my-kiro enhances AI coding agents with 3-layer deterministic enforcement and a crash-recovering outer loop, improving reliability and reducing hallucinations.</description></item><item><title>RsClaw: a Rust-native AI agent engine with persistent three-layer memory and multi-agent delegation</title><link>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</guid><description>RsClaw is a Rust-based AI agent engine featuring persistent three-layer memory across sessions, multi-agent delegation, and low resource usage in a single 15MB binary.</description></item><item><title>SuperCorners: Extending macOS Hot Corners with middle-edge triggers and versatile actions</title><link>https://ramdi.fr/github-stars/supercorners-extending-macos-hot-corners-with-middle-edge-triggers-and-versatile-actions/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/supercorners-extending-macos-hot-corners-with-middle-edge-triggers-and-versatile-actions/</guid><description>SuperCorners enhances macOS Hot Corners by adding middle-edge trigger zones and a wider action set, using SwiftUI and native macOS libraries. It manages activation conflicts with modifier keys and requires Accessibility permissions.</description></item><item><title>watchtower: langgraph orchestration for automated pentesting workflows</title><link>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-langgraph-orchestration-for-automated-pentesting-workflows/</guid><description>Watchtower orchestrates 23 security tools via a LangGraph multi-agent system for automated pentesting. It uses a Planner-Worker-Analyst pattern, SQLite state, and supports multiple LLM providers.</description></item><item><title>90DaysOfDevOps: A comprehensive community-driven journey into foundational DevOps and DevSecOps</title><link>https://ramdi.fr/github-stars/90daysofdevops-a-comprehensive-community-driven-journey-into-foundational-devops-and-devsecops/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/90daysofdevops-a-comprehensive-community-driven-journey-into-foundational-devops-and-devsecops/</guid><description>90DaysOfDevOps is a community-driven repository chronicling a 90-day foundational DevOps and DevSecOps learning journey with 110k words and 90 sessions, emphasizing open source and collaborative learning.</description></item><item><title>AIHawk: An open-source AI agent tackling automated job applications under copyright constraints</title><link>https://ramdi.fr/github-stars/aihawk-an-open-source-ai-agent-tackling-automated-job-applications-under-copyright-constraints/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/aihawk-an-open-source-ai-agent-tackling-automated-job-applications-under-copyright-constraints/</guid><description>AIHawk offers an open-source AI agent that automates job applications. Its architecture balances open AI automation with the legal realities of third-party integrations.</description></item><item><title>AutoScraper: simplifying web scraping through example-driven rule learning</title><link>https://ramdi.fr/github-stars/autoscraper-simplifying-web-scraping-through-example-driven-rule-learning/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoscraper-simplifying-web-scraping-through-example-driven-rule-learning/</guid><description>AutoScraper automates web scraping by learning extraction rules from sample data, avoiding manual CSS selectors. This Python tool eases scraping repetitive, similar web content.</description></item><item><title>awesome-sysadmin: a curated gateway to open-source sysadmin tools</title><link>https://ramdi.fr/github-stars/awesome-sysadmin-a-curated-gateway-to-open-source-sysadmin-tools/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-sysadmin-a-curated-gateway-to-open-source-sysadmin-tools/</guid><description>awesome-sysadmin is a curated list of free and open-source sysadmin tools, categorized for easy navigation across automation, backups, cloud, and more. A valuable reference for infrastructure pros.</description></item><item><title>Hermes Agent: A self-improving AI agent with closed learning loops and multi-platform integration</title><link>https://ramdi.fr/github-stars/hermes-agent-a-self-improving-ai-agent-with-closed-learning-loops-and-multi-platform-integration/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/hermes-agent-a-self-improving-ai-agent-with-closed-learning-loops-and-multi-platform-integration/</guid><description>Hermes Agent is a Python AI agent featuring closed learning loops, autonomous skill creation, multi-model support, and seamless Telegram/Discord integration for persistent, adaptable AI workflows.</description></item><item><title>how awesome-claude-skills turns claude into a real-world action agent</title><link>https://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-awesome-claude-skills-turns-claude-into-a-real-world-action-agent/</guid><description>Awesome Claude Skills is a modular Python framework that empowers Claude to perform real-world actions by integrating with 500+ apps via Composio, extending its utility beyond text generation.</description></item><item><title>Inside Automattic's VIP Go MU-Plugins: Modular WordPress Core Extensions with Modern Testing</title><link>https://ramdi.fr/github-stars/inside-automattic-s-vip-go-mu-plugins-modular-wordpress-core-extensions-with-modern-testing/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-automattic-s-vip-go-mu-plugins-modular-wordpress-core-extensions-with-modern-testing/</guid><description>Explore Automattic&amp;rsquo;s VIP Go MU-Plugins repo: modular WordPress core extensions with PHPUnit and Playwright tests, designed for high-scale VIP platform use.</description></item><item><title>Inside Google Gemini CLI: a terminal-first AI agent with extensible Model Context Protocol</title><link>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</guid><description>Google Gemini CLI is a TypeScript-based terminal AI agent offering direct Gemini model access, extensibility via MCP, and advanced features like Google Search grounding. Here&amp;rsquo;s how it works and who should use it.</description></item><item><title>Maigret: A resilient OSINT username scraper across thousands of sites</title><link>https://ramdi.fr/github-stars/maigret-a-resilient-osint-username-scraper-across-thousands-of-sites/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/maigret-a-resilient-osint-username-scraper-across-thousands-of-sites/</guid><description>Maigret is a Python-based OSINT tool that scrapes public profiles by username from 3,000+ sites without API keys. It features adaptive scraping, anti-blocking, and a web interface.</description></item><item><title>Pydoll: Async-native Chromium automation with typed extraction for web scraping</title><link>https://ramdi.fr/github-stars/pydoll-async-native-chromium-automation-with-typed-extraction-for-web-scraping/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/pydoll-async-native-chromium-automation-with-typed-extraction-for-web-scraping/</guid><description>Pydoll is a Python library for Chromium automation using Chrome DevTools Protocol. It offers async-native APIs and Pydantic-powered data extraction for structured, validated scraping.</description></item><item><title>Stirling PDF: a versatile open-source platform for PDF editing and automation</title><link>https://ramdi.fr/github-stars/stirling-pdf-a-versatile-open-source-platform-for-pdf-editing-and-automation/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/stirling-pdf-a-versatile-open-source-platform-for-pdf-editing-and-automation/</guid><description>Stirling PDF offers 50+ PDF tools, a private REST API, and multi-platform deployment for self-hosted, no-code automated PDF workflows. Here&amp;rsquo;s how it works under the hood.</description></item><item><title>undetected-chromedriver: patching Selenium to evade anti-bot detection</title><link>https://ramdi.fr/github-stars/undetected-chromedriver-patching-selenium-to-evade-anti-bot-detection/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/undetected-chromedriver-patching-selenium-to-evade-anti-bot-detection/</guid><description>undetected-chromedriver patches Selenium&amp;rsquo;s Chromedriver to bypass anti-bot defenses like Distill Network and DataDome. It supports Chrome beta and Chromium-based browsers with ease.</description></item><item><title>Cua: A unified stack for background desktop automation agents across macOS, Linux, Windows, and Android</title><link>https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/</link><pubDate>Sun, 26 Apr 2026 23:47:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/cua-a-unified-stack-for-background-desktop-automation-agents-across-macos-linux-windows-and-android/</guid><description>Cua provides a multi-component open-source stack for building and benchmarking computer-use agents that control full desktops without disrupting user focus, across macOS, Linux, Windows, and Android.</description></item><item><title>Watchtower: automating Docker container updates for homelabs and dev environments</title><link>https://ramdi.fr/github-stars/watchtower-automating-docker-container-updates-for-homelabs-and-dev-environments/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/watchtower-automating-docker-container-updates-for-homelabs-and-dev-environments/</guid><description>Watchtower automates Docker container base image updates by monitoring image registries and restarting containers with new images. Ideal for homelabs, not production.</description></item><item><title>Jenkins automation server: extensible Java CI/CD powerhouse with 2,000+ plugins</title><link>https://ramdi.fr/github-stars/jenkins-automation-server-extensible-java-ci-cd-powerhouse-with-2000-plugins/</link><pubDate>Sun, 26 Apr 2026 09:31:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/jenkins-automation-server-extensible-java-ci-cd-powerhouse-with-2000-plugins/</guid><description>Jenkins is a mature open-source Java automation server with 2,000+ plugins, automating CI/CD pipelines for millions worldwide. Its plugin system fuels versatility for diverse workflows.</description></item><item><title>Inside daily_stock_analysis: a multi-LLM automated stock analysis system</title><link>https://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/</link><pubDate>Fri, 24 Apr 2026 18:26:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-daily-stock-analysis-a-multi-llm-automated-stock-analysis-system/</guid><description>daily_stock_analysis combines multi-LLM integration with multi-source financial data to automate stock market decisions across global markets. It features flexible AI provider fallback and multi-channel alerts.</description></item><item><title>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>