awesome-agentic-ai-zh

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A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

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Trilingual (繁中/EN/简中) learning roadmap for agentic AI: 9 stages from LLM basics to multi-agent production, with 240+ curated resources, runnable Python starter examples and role-based tracks (developer, researcher, teacher, knowledge worker).

Use Cases

Learn agentic AI from LLM basics to productionBuild a first tool-calling agent loopStudy MCP, Skills, Hooks and Subagents in Claude CodeBuild minimal RAG and agent memory pipelinesPractice prompt engineering with runnable examplesRun CLI coding agents for daily dev workDesign workflow graphs and multi-agent systemsAdd evals, observability and human-in-the-loop to agentsTeach or self-study AI agents with role-based tracksCurate Chinese-language AI agent resources

Built With

Language: Python
Frameworks: LangChain · Claude Code · MCP · Ollama · OpenRouter

awesome-agentic-ai-zh

Use Cases

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