<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Agent on Noureddine RAMDI</title><link>https://ramdi.fr/tags/ai-agent/</link><description>Recent content in Ai-Agent 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-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Bridging Claude's AI 'computer' tool with Playwright browser automation</title><link>https://ramdi.fr/github-stars/bridging-claude-s-ai-computer-tool-with-playwright-browser-automation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/bridging-claude-s-ai-computer-tool-with-playwright-browser-automation/</guid><description>Playwright Computer Use links Claude&amp;rsquo;s abstract computer tool to real browser automation with Playwright, supporting sync and async APIs and cursor tracking.</description></item><item><title>Fusion: orchestrating AI agents with git worktree isolation and multi-node synchronization</title><link>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fusion-orchestrating-ai-agents-with-git-worktree-isolation-and-multi-node-synchronization/</guid><description>Fusion uses git worktree isolation to run parallel AI agents without conflicts, syncing across desktop, mobile, and CLI via a multi-node mesh.</description></item><item><title>herdr: a terminal-native AI agent multiplexer with session persistence and agent state awareness</title><link>https://ramdi.fr/github-stars/herdr-a-terminal-native-ai-agent-multiplexer-with-session-persistence-and-agent-state-awareness/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/herdr-a-terminal-native-ai-agent-multiplexer-with-session-persistence-and-agent-state-awareness/</guid><description>herdr is a Rust-based terminal multiplexer combining tmux-style session persistence with AI agent state detection. It offers zero-config agent monitoring and Unix socket API for orchestration.</description></item><item><title>k-dense-byok: a TypeScript AI agent platform with modular data source integration</title><link>https://ramdi.fr/github-stars/k-dense-byok-a-typescript-ai-agent-platform-with-modular-data-source-integration/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/k-dense-byok-a-typescript-ai-agent-platform-with-modular-data-source-integration/</guid><description>Explore k-dense-byok, a TypeScript project for running a configurable AI agent with local web UI and modular API integrations. Quickstart included.</description></item><item><title>Loong: a modular Rust infrastructure for vertical AI agents with governed kernel architecture</title><link>https://ramdi.fr/github-stars/loong-a-modular-rust-infrastructure-for-vertical-ai-agents-with-governed-kernel-architecture/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/loong-a-modular-rust-infrastructure-for-vertical-ai-agents-with-governed-kernel-architecture/</guid><description>Loong is a Rust-based AI agent framework with a modular 7-crate workspace and strict acyclic dependencies, separating contracts, security, execution, and orchestration for extensible vertical AI agents.</description></item><item><title>LuaN1aoAgent: Autonomous penetration testing with P-E-R multi-agent causal graph reasoning</title><link>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/luan1aoagent-autonomous-penetration-testing-with-p-e-r-multi-agent-causal-graph-reasoning/</guid><description>LuaN1aoAgent uses a P-E-R multi-agent framework and causal graph reasoning to achieve 90.4% autonomous success on penetration tests with low exploit cost. Key for AI-driven pentesting.</description></item><item><title>NomAI: a multi-step AI nutrition analysis app combining Flutter and FastAPI</title><link>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nomai-a-multi-step-ai-nutrition-analysis-app-combining-flutter-and-fastapi/</guid><description>NomAI combines a Flutter app with a FastAPI backend using a multi-step LLM pipeline and web-grounded reasoning for nutrition analysis and meal tracking.</description></item><item><title>OpenAgentsControl: pattern-aware, approval-gated AI agents for reliable code generation</title><link>https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openagentscontrol-pattern-aware-approval-gated-ai-agents-for-reliable-code-generation/</guid><description>OpenAgentsControl enforces plan-first, approval-gated AI code generation using a multi-agent pipeline and context-aware pattern loading to produce consistent, project-specific code across TypeScript, Python, Go, and Rust.</description></item><item><title>OpenMonoAgent.ai: a local-first AI coding agent with a resilient 12-step execution pipeline</title><link>https://ramdi.fr/github-stars/openmonoagent-ai-a-local-first-ai-coding-agent-with-a-resilient-12-step-execution-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openmonoagent-ai-a-local-first-ai-coding-agent-with-a-resilient-12-step-execution-pipeline/</guid><description>OpenMonoAgent.ai offers a local-first AI coding agent on .NET with a unique 12-step pipeline featuring doom-loop detection, 5 sub-agents, and Docker sandboxing for offline, reliable coding assistance.</description></item><item><title>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>Osintgraph: AI-driven Instagram OSINT with Neo4j graph analysis</title><link>https://ramdi.fr/github-stars/osintgraph-ai-driven-instagram-osint-with-neo4j-graph-analysis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/osintgraph-ai-driven-instagram-osint-with-neo4j-graph-analysis/</guid><description>Osintgraph scrapes Instagram data into Neo4j and uses an AI agent for natural language investigation, enabling graph-based OSINT workflows with AI-powered querying and visualization.</description></item><item><title>roach-pi: an AI agent extension for the pi shell to streamline task execution</title><link>https://ramdi.fr/github-stars/roach-pi-an-ai-agent-extension-for-the-pi-shell-to-streamline-task-execution/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/roach-pi-an-ai-agent-extension-for-the-pi-shell-to-streamline-task-execution/</guid><description>roach-pi is a TypeScript-based AI agent extension for the pi shell, enabling disciplined task planning and execution with simple CLI commands. Designed for developers leveraging AI workflows.</description></item><item><title>skill-check: enforcing quality standards for AI agent skills with measurable scoring</title><link>https://ramdi.fr/github-stars/skill-check-enforcing-quality-standards-for-ai-agent-skills-with-measurable-scoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/skill-check-enforcing-quality-standards-for-ai-agent-skills-with-measurable-scoring/</guid><description>skill-check is a TypeScript CLI that validates and scores AI agent SKILL.md files with auto-fix and security scanning, supporting multiple output formats and baseline comparisons.</description></item><item><title>Surf: Connecting OpenAI's Computer Use API to a Cloud Virtual Desktop with Real-Time Streaming</title><link>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/surf-connecting-openai-s-computer-use-api-to-a-cloud-virtual-desktop-with-real-time-streaming/</guid><description>Surf integrates OpenAI&amp;rsquo;s Computer Use API with E2B&amp;rsquo;s cloud virtual desktop to control a Linux desktop via natural language, streaming actions back to the browser in real-time.</description></item><item><title>yoagent: a minimal Rust AI agent runtime with multi-provider LLM support</title><link>https://ramdi.fr/github-stars/yoagent-a-minimal-rust-ai-agent-runtime-with-multi-provider-llm-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/yoagent-a-minimal-rust-ai-agent-runtime-with-multi-provider-llm-support/</guid><description>yoagent is a minimal Rust library implementing an AI agent loop with multi-provider LLM support, built-in tools, and event streaming for clean, extensible agent workflows.</description></item><item><title>10x CLI coding agent: tiered AI model routing for faster coding workflows</title><link>https://ramdi.fr/github-stars/10x-cli-coding-agent-tiered-ai-model-routing-for-faster-coding-workflows/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/10x-cli-coding-agent-tiered-ai-model-routing-for-faster-coding-workflows/</guid><description>10x is a TypeScript CLI coding agent that speeds coding up to 20x by routing tasks across a tiered AI model system with customizable multi-step workflows called Superpowers.</description></item><item><title>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>Open Cowork: Desktop AI Agent with VM-level Sandbox Isolation for Safer AI Workflows</title><link>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-cowork-desktop-ai-agent-with-vm-level-sandbox-isolation-for-safer-ai-workflows/</guid><description>Open Cowork wraps multiple LLMs in a cross-platform desktop app with unique VM-level sandboxing using WSL2 and Lima for safe AI agent command execution.</description></item><item><title>AlexClaw: An Elixir/OTP autonomous AI agent with tiered LLM routing and persistent memory</title><link>https://ramdi.fr/github-stars/alexclaw-an-elixir-otp-autonomous-ai-agent-with-tiered-llm-routing-and-persistent-memory/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/alexclaw-an-elixir-otp-autonomous-ai-agent-with-tiered-llm-routing-and-persistent-memory/</guid><description>AlexClaw is an Elixir/OTP autonomous AI agent that uses tiered LLM routing, a workflow engine, and PostgreSQL with pgvector for persistent semantic memory, all configurable at runtime.</description></item><item><title>Exploring Firecrawl Web Agent: A layered autonomous web research agent built on LangChain Deep Agents</title><link>https://ramdi.fr/github-stars/exploring-firecrawl-web-agent-a-layered-autonomous-web-research-agent-built-on-langchain-deep-agents/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-firecrawl-web-agent-a-layered-autonomous-web-research-agent-built-on-langchain-deep-agents/</guid><description>Firecrawl Web Agent combines LangChain&amp;rsquo;s Deep Agents with Firecrawl&amp;rsquo;s web tools in a layered architecture from Next.js UI to raw API, enabling autonomous web research.</description></item><item><title>google/agents-cli: a Python CLI for AI agent lifecycle management on Google Cloud</title><link>https://ramdi.fr/github-stars/google-agents-cli-a-python-cli-for-ai-agent-lifecycle-management-on-google-cloud/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/google-agents-cli-a-python-cli-for-ai-agent-lifecycle-management-on-google-cloud/</guid><description>google/agents-cli enhances coding assistants with skills for building, evaluating, and deploying AI agents on Google Cloud&amp;rsquo;s ADK. It offers a modular CLI workflow covering agent scaffolding to observability.</description></item><item><title>ClawSync: A Convex-based multi-agent AI platform with shared soul documents and per-agent model routing</title><link>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</guid><description>ClawSync offers a multi-agent AI platform using Convex backend, with shared soul documents for reusable personalities and per-agent model routing across popular LLMs. Explore its architecture and setup.</description></item><item><title>DSPy agent skills pack with GEPA optimization for Claude Code and Codex CLI</title><link>https://ramdi.fr/github-stars/dspy-agent-skills-pack-with-gepa-optimization-for-claude-code-and-codex-cli/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/dspy-agent-skills-pack-with-gepa-optimization-for-claude-code-and-codex-cli/</guid><description>Explore a production-grade pack of DSPy 3.2.x agent skills with GEPA optimization, delivering up to +19.53 accuracy on RAG QA for Claude Code and Codex CLI agents.</description></item><item><title>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>Mapping the OpenClaw AI agent ecosystem: a curated catalog of skills, dashboards, and integrations</title><link>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-openclaw-ai-agent-ecosystem-a-curated-catalog-of-skills-dashboards-and-integrations/</guid><description>OpenClaw offers a comprehensive AI agent platform with a rich ecosystem of skills, dashboards, memory plugins, and multi-channel integrations. This curated catalog maps 80+ projects for developers exploring agent frameworks.</description></item><item><title>Modular AI agent skills for medical research with MedSkillAudit quality control</title><link>https://ramdi.fr/github-stars/modular-ai-agent-skills-for-medical-research-with-medskillaudit-quality-control/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/modular-ai-agent-skills-for-medical-research-with-medskillaudit-quality-control/</guid><description>Explore a modular AI skill library for medical research workflows featuring 500+ skills and a unique MedSkillAudit quality framework ensuring scientific and methodological rigor.</description></item><item><title>UI-Voyager: Self-evolving AI agent for Android GUI automation with SSIM-based trajectory correction</title><link>https://ramdi.fr/github-stars/ui-voyager-self-evolving-ai-agent-for-android-gui-automation-with-ssim-based-trajectory-correction/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/ui-voyager-self-evolving-ai-agent-for-android-gui-automation-with-ssim-based-trajectory-correction/</guid><description>UI-Voyager is a 4B parameter AI agent achieving 81% success on AndroidWorld by self-evolving with SSIM-based trajectory correction, no human labels needed.</description></item><item><title>Agent Kanban: orchestrating AI coding agents with cryptographic identities</title><link>https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agent-kanban-orchestrating-ai-coding-agents-with-cryptographic-identities/</guid><description>Agent Kanban is a TypeScript multi-agent platform that uses Ed25519 cryptographic identities to manage AI coding agents in a leader-worker workflow with atomic task claiming and real-time collaboration.</description></item><item><title>AgentShield: auditing AI agent security configurations with runtime confidence scoring</title><link>https://ramdi.fr/github-stars/agentshield-auditing-ai-agent-security-configurations-with-runtime-confidence-scoring/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/agentshield-auditing-ai-agent-security-configurations-with-runtime-confidence-scoring/</guid><description>AgentShield is a TypeScript CLI tool that audits Claude Code AI agent configs for secrets, permissions, hooks, and more using a runtime confidence system to reduce false positives.</description></item><item><title>Allium: a behavioral specification framework for intent persistence in AI agent engineering</title><link>https://ramdi.fr/github-stars/allium-a-behavioral-specification-framework-for-intent-persistence-in-ai-agent-engineering/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/allium-a-behavioral-specification-framework-for-intent-persistence-in-ai-agent-engineering/</guid><description>Allium addresses intent drift in AI agent sessions by capturing behaviors as formal specs that persist across interactions, exposing contradictions automatically.</description></item><item><title>Automaton: A TypeScript AI Agent Framework with Economic Survival Tiers and On-Chain Identity</title><link>https://ramdi.fr/github-stars/automaton-a-typescript-ai-agent-framework-with-economic-survival-tiers-and-on-chain-identity/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/automaton-a-typescript-ai-agent-framework-with-economic-survival-tiers-and-on-chain-identity/</guid><description>Automaton implements autonomous AI agents with economic survival tiers tied to on-chain identity and continuous Think→Act→Observe loops, featuring self-modification and replication.</description></item><item><title>Building a production-ready AI agent system in 18 steps with build-your-own-openclaw</title><link>https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-a-production-ready-ai-agent-system-in-18-steps-with-build-your-own-openclaw/</guid><description>A practical 18-step tutorial progressively builds a minimal AI agent into a production-ready multi-agent system with event-driven architecture and concurrency control.</description></item><item><title>ClawLess: Running AI agents fully client-side with WebContainers and multi-LLM integration</title><link>https://ramdi.fr/github-stars/clawless-running-ai-agents-fully-client-side-with-webcontainers-and-multi-llm-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawless-running-ai-agents-fully-client-side-with-webcontainers-and-multi-llm-integration/</guid><description>ClawLess runs AI agents entirely in-browser using WebContainers, enabling sandboxed Node.js environments with multi-provider LLM support and GitHub integration—no backend needed.</description></item><item><title>Compozy: orchestrating AI coding agents with context-aware pipelines in Go</title><link>https://ramdi.fr/github-stars/compozy-orchestrating-ai-coding-agents-with-context-aware-pipelines-in-go/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/compozy-orchestrating-ai-coding-agents-with-context-aware-pipelines-in-go/</guid><description>Compozy is a Go CLI that orchestrates AI coding agents in a structured pipeline, grounding AI tasks in real codebase context with markdown workflows and multi-agent concurrency.</description></item><item><title>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>graph-memory: a knowledge graph context engine plugin for AI agents using dual-path recall</title><link>https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/</guid><description>graph-memory compresses AI agent context by 75% using a knowledge graph and dual-path recall with Personalized PageRank. It combines precise entity search and semantic matching for improved memory across sessions.</description></item><item><title>Hyperframes: HTML-native video rendering framework optimized for AI coding agents</title><link>https://ramdi.fr/github-stars/hyperframes-html-native-video-rendering-framework-optimized-for-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/hyperframes-html-native-video-rendering-framework-optimized-for-ai-coding-agents/</guid><description>Hyperframes uses HTML + CSS + GSAP for video rendering with AI agent-friendly CLI and plugins. It leverages deterministic headless Chrome rendering and supports multiple animation runtimes.</description></item><item><title>Inside Second Brain: A Python AI OS with self-extending plugins and hybrid search</title><link>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-second-brain-a-python-ai-os-with-self-extending-plugins-and-hybrid-search/</guid><description>Second Brain is a Python framework that indexes local files with embeddings, runs background subagents, and lets AI agents build and hot-load their own plugins at runtime.</description></item><item><title>Minara Skills: Agent-Centric CLI for Multi-Chain DeFi Trading with Robust Safety</title><link>https://ramdi.fr/github-stars/minara-skills-agent-centric-cli-for-multi-chain-defi-trading-with-robust-safety/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/minara-skills-agent-centric-cli-for-multi-chain-defi-trading-with-robust-safety/</guid><description>Minara Skills routes natural language prompts from AI agents into CLI commands for multi-chain DeFi trading, passing 76 safety benchmarks with an 88/100 score. Explore its agent-centric skill architecture and multi-network support.</description></item><item><title>OpenContext: adding persistent context to coding agent CLIs for smarter AI workflows</title><link>https://ramdi.fr/github-stars/opencontext-adding-persistent-context-to-coding-agent-clis-for-smarter-ai-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opencontext-adding-persistent-context-to-coding-agent-clis-for-smarter-ai-workflows/</guid><description>OpenContext layers persistent project memory and Skills on top of coding agent CLIs (Cursor, Claude Code, Codex), enhancing AI coding assistants with zero subscription cost.</description></item><item><title>opik-openclaw: bridging OpenClaw AI agents with Opik observability</title><link>https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/</guid><description>opik-openclaw plugs into OpenClaw to export detailed AI agent traces and usage data to Opik&amp;rsquo;s LLM observability platform, enabling deep insights into LLM calls and costs.</description></item><item><title>PycoClaw: Running full OpenClaw AI agents on $5 ESP32 microcontrollers with MicroPython</title><link>https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/</guid><description>PycoClaw ports OpenClaw AI agents to MicroPython, enabling full conversational agents on $5 ESP32 chips with 8MB+ flash and 4MB+ PSRAM. It supports hybrid memory, subagents, cron, and multi-LLM compatibility.</description></item><item><title>SmallClaw: a local-first AI agent framework with single-pass chat handling</title><link>https://ramdi.fr/github-stars/smallclaw-a-local-first-ai-agent-framework-with-single-pass-chat-handling/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/smallclaw-a-local-first-ai-agent-framework-with-single-pass-chat-handling/</guid><description>SmallClaw is a TypeScript AI agent framework that uses a single LLM call for chat and tool invocation, designed for local models with a clean web UI and structured tools.</description></item><item><title>Snyk Agent Scan: interactive security scanning for AI agent components</title><link>https://ramdi.fr/github-stars/snyk-agent-scan-interactive-security-scanning-for-ai-agent-components/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/snyk-agent-scan-interactive-security-scanning-for-ai-agent-components/</guid><description>Snyk Agent Scan is a Python CLI tool detecting 15+ security risks in AI agent MCP servers and skills, using an interactive consent model for safe scanning.</description></item><item><title>sre-agent: AI-powered incident diagnosis with integrated evaluation for production reliability</title><link>https://ramdi.fr/github-stars/sre-agent-ai-powered-incident-diagnosis-with-integrated-evaluation-for-production-reliability/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/sre-agent-ai-powered-incident-diagnosis-with-integrated-evaluation-for-production-reliability/</guid><description>sre-agent is a Python AI tool that automates incident diagnosis by analyzing AWS CloudWatch logs, inspecting GitHub code, and reporting to Slack. It includes a unique evaluation suite for diagnosis quality.</description></item><item><title>WriteHERE: dynamic recursive planning for AI-assisted long-form writing with real-time visualization</title><link>https://ramdi.fr/github-stars/writehere-dynamic-recursive-planning-for-ai-assisted-long-form-writing-with-real-time-visualization/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/writehere-dynamic-recursive-planning-for-ai-assisted-long-form-writing-with-real-time-visualization/</guid><description>WriteHERE uses recursive task decomposition to dynamically break down and execute long-form AI writing tasks, with real-time visualization of the agent&amp;rsquo;s thought process. Supports GPT and Claude.</description></item><item><title>AGNT: a local-first AI agent OS with self-evolving agent skills</title><link>https://ramdi.fr/github-stars/agnt-a-local-first-ai-agent-os-with-self-evolving-agent-skills/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/agnt-a-local-first-ai-agent-os-with-self-evolving-agent-skills/</guid><description>AGNT is a JavaScript-based local-first AI agent OS featuring a unique SkillForge system that evolves agent instructions from execution traces, supporting multi-agent workflows and plugin extensibility.</description></item><item><title>Automating bank statement processing with YOLOv8, OCR, and LLMs for personal finance analysis</title><link>https://ramdi.fr/github-stars/automating-bank-statement-processing-with-yolov8-ocr-and-llms-for-personal-finance-analysis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/automating-bank-statement-processing-with-yolov8-ocr-and-llms-for-personal-finance-analysis/</guid><description>Explore how a hybrid pipeline using YOLOv8 layout detection, OCR, and LLMs automates messy bank statement PDFs for personal finance analysis with RAG and AI agents.</description></item><item><title>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>How OpenClaw Medical Skills modularizes Claude agents for medical AI research</title><link>https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/</guid><description>OpenClaw Medical Skills offers 869 modular AI agent skills to transform Claude agents into specialized medical research assistants. Explore its architecture, strengths, and installation.</description></item><item><title>learn-harness-engineering: a reproducible harness architecture for reliable AI coding agents</title><link>https://ramdi.fr/github-stars/learn-harness-engineering-a-reproducible-harness-architecture-for-reliable-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/learn-harness-engineering-a-reproducible-harness-architecture-for-reliable-ai-coding-agents/</guid><description>learn-harness-engineering offers a practical 5-subsystem harness framework to improve AI coding agent reliability, backed by industry research and starter templates for Claude Code and Codex.</description></item><item><title>memU Bot: structured semantic memory for enterprise AI agents</title><link>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</guid><description>memU Bot replaces flat memory with a semantic memory layer, cutting token use by 90%. It supports Telegram, Discord, Slack, and Feishu with quick setup and MCP integration.</description></item><item><title>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>open-ralph-wiggum: a self-correcting AI coding agent loop using git state feedback</title><link>https://ramdi.fr/github-stars/open-ralph-wiggum-a-self-correcting-ai-coding-agent-loop-using-git-state-feedback/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-ralph-wiggum-a-self-correcting-ai-coding-agent-loop-using-git-state-feedback/</guid><description>Open Ralph Wiggum runs AI coding agents in an autonomous loop, using git history and file changes as implicit feedback to guide iterations until completion promises are detected.</description></item><item><title>OpenClaude: a multi-model terminal-first coding agent CLI with practical agent routing</title><link>https://ramdi.fr/github-stars/openclaude-a-multi-model-terminal-first-coding-agent-cli-with-practical-agent-routing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openclaude-a-multi-model-terminal-first-coding-agent-cli-with-practical-agent-routing/</guid><description>OpenClaude is a TypeScript CLI coding agent that routes tasks across different LLMs by type, optimizing cost and performance with multi-provider support and a unified terminal interface.</description></item><item><title>RsClaw: a Rust-native AI agent engine with persistent three-layer memory and multi-agent delegation</title><link>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/rsclaw-a-rust-native-ai-agent-engine-with-persistent-three-layer-memory-and-multi-agent-delegation/</guid><description>RsClaw is a Rust-based AI agent engine featuring persistent three-layer memory across sessions, multi-agent delegation, and low resource usage in a single 15MB binary.</description></item><item><title>Running OpenClaw AI Agents Natively on Android with Termux: A Practical Deep Dive</title><link>https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/</guid><description>OpenClaw runs natively on Android via Termux using a Node.js patch that fixes Bionic libc issues, cutting boot time to ~2s and slashing RAM overhead. Here&amp;rsquo;s how it works.</description></item><item><title>Scarf: a native Swift companion app for Hermes AI with smooth multimodal input and real-time monitoring</title><link>https://ramdi.fr/github-stars/scarf-a-native-swift-companion-app-for-hermes-ai-with-smooth-multimodal-input-and-real-time-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/scarf-a-native-swift-companion-app-for-hermes-ai-with-smooth-multimodal-input-and-real-time-monitoring/</guid><description>Scarf is a Swift native macOS and iOS app that provides a GUI for the Hermes AI agent, featuring SSH connectivity, efficient image encoding, SQLite state sync, and real-time dashboards.</description></item><item><title>hermes-hudui: a TypeScript web UI for interacting with the Hermes AI agent</title><link>https://ramdi.fr/github-stars/hermes-hudui-a-typescript-web-ui-for-interacting-with-the-hermes-ai-agent/</link><pubDate>Mon, 04 May 2026 10:06:27 +0000</pubDate><guid>https://ramdi.fr/github-stars/hermes-hudui-a-typescript-web-ui-for-interacting-with-the-hermes-ai-agent/</guid><description>hermes-hudui provides a TypeScript-based web UI to interact with the Hermes AI agent, offering real-time data visualization and control. Setup requires Python 3.11+, Node.js 18+, and a running Hermes agent.</description></item><item><title>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>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>Qwen Code: A multi-provider terminal AI coding agent with unified config abstraction</title><link>https://ramdi.fr/github-stars/qwen-code-a-multi-provider-terminal-ai-coding-agent-with-unified-config-abstraction/</link><pubDate>Tue, 28 Apr 2026 18:38:54 +0000</pubDate><guid>https://ramdi.fr/github-stars/qwen-code-a-multi-provider-terminal-ai-coding-agent-with-unified-config-abstraction/</guid><description>Qwen Code is a TypeScript terminal AI coding agent that abstracts multiple LLM providers behind a unified config, enabling flexible AI workflows with Skills and SubAgents.</description></item><item><title>Goose: a multi-provider, open-standard AI agent built in Rust</title><link>https://ramdi.fr/github-stars/goose-a-multi-provider-open-standard-ai-agent-built-in-rust/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/goose-a-multi-provider-open-standard-ai-agent-built-in-rust/</guid><description>Goose is a Rust-based AI agent supporting 15+ providers and 70+ extensions via the Model Context Protocol. It offers native apps, CLI, and API for flexible AI workflows.</description></item><item><title>Inside CowAgent: An extensible autonomous AI assistant with multi-modal and multi-model architecture</title><link>https://ramdi.fr/github-stars/inside-cowagent-an-extensible-autonomous-ai-assistant-with-multi-modal-and-multi-model-architecture/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-cowagent-an-extensible-autonomous-ai-assistant-with-multi-modal-and-multi-model-architecture/</guid><description>CowAgent is an extensible AI assistant framework with autonomous task planning, long-term memory, and multi-modal support. It integrates multiple LLMs and platforms for flexible AI workflows.</description></item><item><title>LLM-driven browser automation with Browser-Use: a hands-on look</title><link>https://ramdi.fr/github-stars/llm-driven-browser-automation-with-browser-use-a-hands-on-look/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/llm-driven-browser-automation-with-browser-use-a-hands-on-look/</guid><description>Browser-Use is a Python library enabling LLM-powered AI agents to automate browsers efficiently. It features a custom ChatBrowserUse model and supports cloud and local agents.</description></item><item><title>Mercury Agent: A TypeScript AI assistant with persistent "Second Brain" memory and permission-hardened safety</title><link>https://ramdi.fr/github-stars/mercury-agent-a-typescript-ai-assistant-with-persistent-second-brain-memory-and-permission-hardened-safety/</link><pubDate>Sat, 25 Apr 2026 19:24:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/mercury-agent-a-typescript-ai-assistant-with-persistent-second-brain-memory-and-permission-hardened-safety/</guid><description>Mercury Agent is a TypeScript AI assistant with a persistent SQLite-based memory system, permission-hardened tools, and extensible skills, designed for safe, adaptive 24/7 operation via CLI or Telegram.</description></item></channel></rss>