GitHub AI Repos
Discover popular open-source AI projects. Explore libraries, runtimes, agents, databases, and frameworks categorized by programming languages and GitHub stars.
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI assistant access to profiles, companies, jobs, and messages.
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
YouTube Full Text Search - Search all of YouTube from the command line
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Clean Architecture and DDIA programming books.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 4 specialist agents (IoT, FMSR, TSFM, Work Order), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
AI system design guide for engineers building production AI systems and evals.
A AI general-purpose state-space search engine, validated first on autonomous penetration testing.