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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。

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Pythonprompt-engineeringmulti-agent-systemschinese-llmai-agentagentic-aiai-agentsawesome-listclaude-skillsclaude-codellmlearning-roadmapllm-agentsmodel-context-protocoltutorialragtrilingualmcpcliagentic-workflows

A trilingual (Traditional Chinese, English, Simplified Chinese) curated learning roadmap for agentic AI, covering LLM basics through multi-agent systems with 240+ resources and hands-on examples. It is an awesome-list style repository, MIT licensed, written in Python, and ships a CLAUDE.md file.

You want a structured, multilingual path into agentic AI rather than assembling scattered resources yourself.

Use it to

  • Follow a staged roadmap from LLM basics to multi-agent systems
  • Browse 240+ curated agentic AI resources
  • Study agent concepts in Chinese or English
  • Work through the hands-on examples
  • Explore topics like MCP, RAG, and prompt engineering

For Chinese-reading developers and learners entering agentic AI

Role
awesome-list
Language
Python
Licence
MIT
Forks
956
Open issues
2
Last push
2026-09-14
Latest release
v2026.07.17 · 2026-07-17
topicsawesome-listlearning-roadmapagentic-aillmtutorialchinese