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 Scra
Learn how to build AI agents that can remember context, use tools, and collaborate effectively.
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Free · no card · unsubscribe anytimeA 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 Scra
agent_learning has 470 stars on GitHub. It has been forked 72 times. agent_learning is written mainly in HTML. It has been in active development since 2026. agent_learning is available under the MIT license. Its main topics are agent-learning, agentic-workflow, ai-agent, ai-agent-tutorial.
What is 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 Scra
Is agent_learning open source?
agent_learning is an open-source project. It is released under the MIT license.
Is agent_learning free?
Yes. agent_learning is free and open source — you can use, modify and self-host it.
What license does agent_learning use?
agent_learning is available under the MIT license.
What language is agent_learning written in?
agent_learning is written mainly in HTML.
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