Agent Skills for Context Engineering
✨A systematic skill library for AI Agent context management, covering fundamentals, architectural patterns, operational optimization, and evaluation systems. Compatible with Claude Code, Cursor, and other platforms. Distinguished from prompt engineering by its holistic approach to curating all information entering the model's attention budget.
OtherMulti-Agent SystemAI Agents
RAG Techniques
✨An open-source collection of tutorials and runnable scripts for over 30 advanced Retrieval-Augmented Generation (RAG) techniques, including Graph RAG, Agentic RAG, and various retrieval optimization strategies, implemented primarily with LangChain.
Hands-On Large Language Models
✨Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.
Natural Language ProcessingRAG大语言模型
AI Engineering Hub
✨A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.
Other大语言模型Model Context Protocol
Awesome Long Chain-of-Thought Reasoning
✨A curated collection of resources for Long Chain-of-Thought (Long-CoT) reasoning in LLMs, featuring papers, implementations, and datasets to track the latest advancements in the field.
OtherNatural Language ProcessingAI Agents
LLMForEverybody
✨Project information is incomplete; verified data has been retained for future updates.
大语言模型PythonKnowledge Base
LLMs Paper Reading Club
✨A systematic collection of reading notes for LLMs top conference papers, covering motivation and method analysis in core areas like PEFT (LoRA/QLoRA), RAG, and Agents (RoleLLM), providing structured learning paths for algorithm engineers.
OtherNatural Language ProcessingRAG
LLMAgentPapers
✨A curated list of must-read papers and resources on LLM Agents maintained by ZJUNLP, covering single agent capabilities (memory, planning, tool use), multi-agent collaboration, benchmarks, and mainstream development frameworks.
OtherNatural Language Processing大语言模型
system_prompts_leaks
✨A curated collection of extracted system prompts from popular chatbots like ChatGPT, Claude, and Gemini, helping researchers understand the behavior boundaries of AI models。
Docs, Tutorials & ResourcesPythonNext.js
AI-Compass
✨AI-Compass is a comprehensive open-source project that provides learning paths and practical guidelines for AI technologies, helping users from beginners to professionals build a complete AI knowledge system from fundamental theory to cutting-edge applications.
Docs, Tutorials & ResourcesPythonNext.js