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 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch
Why this job: says: learn ai, tutorial covering, from scratch
What it does
From Function Calling, memory, planning, RAG, and context engineering to Agentic RL, multi-agent systems, evaluation, security, and production deployment.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 16 days ago
- Stars
- 658
- +12 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- HTML
- 76% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 89% closed
- 1 still open
- Pull requests
- 11 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| amitshekhariitbhu / ai-agents-tutorial | 211 | today | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- HTML 76%
- Python 9%
- Handlebars 7%
- CSS 6%
Topics
- ai-agent
- llm
- rag
- agent-learning
- agentic-workflow
- ai-agent-tutorial
- dspy
- grpo
- langchain
- large-language-models
- mcp
- memory-system
Project record
- JobLists and guides
- StatusListed
- Commits179
- Forks104
- Watching2
- Stars in 28 days+77
- CreatedMar 13, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026