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mcp-server

Learn Agentic AI with awesome-agentic-ai-zh

Get a trilingual learning roadmap for startup founders, with 240+ curated resources.
3,642 stars494 forksPythonQuality 8/10Updated 7/1/2026100% free · open source

About this skill

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。

Topics

agentic-ai
agentic-workflows
ai-agent
ai-agents
awesome-list
chinese-llm
claude-code
claude-skills
cli
learning-roadmap
llm
llm-agents
mcp
model-context-protocol
multi-agent-systems
prompt-engineering
rag
trilingual
tutorial
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

36
top-level files
9
folders
112.6M
repo size
MIT
license
Key files
index.en.md
index.md
index.zh-Hans.md
README.en.md
README.md
README.zh-Hans.md
File tree
.github/
branches/
docs/
examples/
resources/
scripts/
stages/
tracks/
walkthroughs/
.gitignore
book.toml
CAPSTONE.en.md
CAPSTONE.md
CAPSTONE.zh-Hans.md
CHANGELOG.md
CITATION.cff
CLAUDE.md
CODE_OF_CONDUCT.en.md
CODE_OF_CONDUCT.md
CODE_OF_CONDUCT.zh-Hans.md
CONTRIBUTING.en.md
CONTRIBUTING.md
CONTRIBUTING.zh-Hans.md
CONTRIBUTORS.md
Quick Actions
Details
Creator
WenyuChiou
Language
Python
Category
mcp-server
Published
5/4/2026

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