Haozhe-Xing/agent_learning
A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教
- Stars
- 611
- Forks
- 95
- Open issues
- 1
- Last push
- 5d ago
About agent_learning
agent_learning is a free, open-source AI agent tool by Haozhe-Xing, written mainly in HTML. A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教. It has 611 GitHub stars and 95 forks, and was last updated 5d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- HTML
- Stars
- 611
- Last update
- 5d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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agent_learning FAQ
Is agent_learning free?
Yes. agent_learning is open source and free to use. It's released under the MIT license, a standard open-source license.
Does agent_learning run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does agent_learning need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is agent_learning still maintained?
Yes. It was last updated 5d ago and has 1 open issues on GitHub.
What are alternatives to agent_learning?
Similar free, open-source tools include hermes-agent, ruflo, ai-agent-book, mem0.