agent_learning

About 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

agent-learning agentic-workflow ai-agent ai-agent-tutorial dspy grpo langchain large-language-models llm mcp

Quick Facts

Stars	181
Forks	25
Language	HTML
Category	MCP Server
License	MIT
Quality Score	49.15/100
Last Updated	2026-05-21
Created	2026-03-13
Platforms	mcp
Est. Tokens	~2686k

Compatible Skills

These tools work well together with agent_learning for enhanced workflows:

golang-skills — semantic(0.18)+complementary+same_lang+similar_pop (51%)
openclaw-auto-dream — semantic(0.16)+complementary+same_lang+similar_pop (51%)
Multi-Agent-AI-Travel-Advisor — semantic(0.22)+complementary+shared_fw(langchain)+similar_pop (51%)
deepagentsjs — semantic(0.20)+complementary+shared_fw(langchain)+similar_pop (50%)
full-stack-ai-agent-template — semantic(0.18)+complementary+shared_fw(langchain)+similar_pop (49%)

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Frequently Asked Questions

What is agent_learning?

agent_learning is 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 is categorized as a MCP Server with 181 GitHub stars.

What programming language is agent_learning written in?

agent_learning is primarily written in HTML. It covers topics such as agent-learning, agentic-workflow, ai-agent.

How do I install or use agent_learning?

You can find installation instructions and usage details in the agent_learning GitHub repository at github.com/Haozhe-Xing/agent_learning. The project has 181 stars and 25 forks, indicating an active community.

What license does agent_learning use?

agent_learning is released under the MIT license, making it free to use and modify according to the license terms.

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