mcp-server

awesome-agentic-ai-zh: Trilingual AI Agent Roadmap with 7.2k+ Stars

Name: awesome-agentic-ai-zh: Trilingual AI Agent Roadmap with 7.2k+ Stars
Author: WenyuChiou

Navigate from LLM basics to multi‑agent systems with 240+ curated resources and hands‑on examples, perfect for founders building AI agents in English, Chinese, or Traditional Chinese.

7,232 stars977 forksPythonGuide quality 8/10 · reviewed Oct 9Updated 9/28/2026100% free · open source

What it does

Provides a trilingual learning roadmap with 240+ curated resources for startup founders to learn about agentic AI, from LLM basics to multi-agent systems.

When to use it

•You need a structured learning path for AI and want a comprehensive roadmap with hands-on examples.
•Your team requires a unified resource for learning agentic AI in multiple languages (English, Traditional Chinese, Simplified Chinese).
•You are looking for a curated list of resources to deepen your understanding of multi-agent systems and their applications.

Ready-to-paste prompt

To find resources on LLM basics in Traditional Chinese, navigate to the `resources/繁中/LLM` directory and explore the listed materials.

Heads up: Be aware that some resources may require specific software or library installations (e.g., Python environments for hands-on examples) which are not included in the repository itself.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/awesome-agentic-ai-zh && curl -fsSL https://workflowstacks.com/api/skills/awesome-agentic-ai-zh/claude-skill -o ~/.claude/skills/awesome-agentic-ai-zh/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How awesome-agentic-ai-zh: Trilingual AI Agent Roadmap with 7.2k+ Stars works

Codeflow

Free to inspect

Awesome-agentic-ai-zh: Trilingual AI Agent Roadmap with 7.2k+ Stars is a large Python project (~39k lines across 197 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~39k lines · 197 code files · ~5 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python

No API keys detected

Python 99%JavaScript 1%Shell 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
CLAUDE.md
The instructions the AI actually follows
3
examples/README.en.md
A worked example — copy this to get going

What's in each folder

examples/Examples you can copy223 files

docs/Documentation39 files

resources/Folder120 files

scripts/Helper scripts100 files

stages/Folder31 files

branches/Folder16 files

tracks/Folder9 files

release/Folder3 files

READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month