About this project

This repository is an open-source resource collection focused on the AI Agent domain, aiming to provide developers and learners with high-quality books, courses, code repositories, and paper lists. The project uses automation scripts to fetch GitHub data daily, updating the Star count of each repository in real time and sorting them by popularity to ensure users access the latest and most popular learning resources. Main contents include: 1. **Open-source Books (Chinese)**: Includes popular Chinese books such as "Deep Understanding of AI Agent" and the Hermes Agent Orange Book, covering content from beginner to advanced levels. 2. **Open-source Books/Courses (English)**: Features internationally renowned resources like the Hugging Face Agents Course and Ed Donner's Agentic AI Engineering course. 3. **Commercial Book Companion Code**: Organizes official sample code repositories for commercial books like "Generative AI with LangChain". 4. **Paper Lists and Resource Summaries**: Aggregates review papers, interview resources, and Awesome lists in the LLM Agent field for in-depth research. 5. **Agent Rule Books and Skill Sets**: Provides rule configurations and skill books for coding Agents like Codex and Cursor. 6. **AI Agent Book Writing Experiments**: Showcases cases where AI Agent teams autonomously create long novels, serving as references for collaborative research. 7. **Agent Harness Ecosystem**: Highlights high-performance Agent runtime environments and frameworks like ECC, DeepSeek Harness, and Deer Flow. 8. **Agent Frameworks/Tool Libraries**: Includes mainstream Agent development frameworks and tools such as n8n, AutoGPT, Dify, LangChain, and AutoGen. Additionally, the project offers recommended reading paths from beginner to advanced, interview preparation, and hands-on practice. It supports submitting new book recommendations or error corrections via Issues or Pull Requests, welcoming community co-construction.