#45 · Primary category： AI Tool Directories & Curated Lists
awesome-agentic-ai-zh
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。
Project last updated：08/29/26
GitHub Stars
6.5K
Forks
870
Contributors
11
License
MIT
Why we included this project
Agentic AI has grown so fast that newcomers face a wall of frameworks, MCP servers, and CLI tools with no obvious order. This trilingual roadmap supplies the order: 240+ curated resources arranged into eight stages that run from LLM basics and token math through tool use, agent frameworks, RAG and memory, and on to multi-agent orchestration. Two learning tracks let readers choose between getting productive with existing agents or building their own, and each stage pairs its reading list with small exercises that show both Ollama and Anthropic SDK paths. Coverage of the Chinese AI ecosystem is a real strength, with a full catalog of MCP servers and skills for DeepSeek, Zhipu, and Kimi, plus a glossary that maps English terms to Chinese explanations. It is a practical study companion for anyone learning in Chinese or moving between the two ecosystems.
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