mcp-server

Learn Agentic AI with awesome-agentic-ai-zh

Name: Learn Agentic AI with awesome-agentic-ai-zh
Author: WenyuChiou

Get a trilingual learning roadmap for startup founders, with 240+ curated resources.

6,483 stars866 forksPythonHealth Score 8/10Updated 8/29/2026100% 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.

Install / run

Clone the repository using the command `git clone https://github.com/WenyuChiou/awesome-agentic-ai-zh.git`

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.

Quick start

1Explore the `README.md` file for an overview of the trilingual learning roadmap and its structure.
2Navigate to the `resources` directory to find curated lists of learning materials in different languages.
3Open the `roadmap` directory to access step-by-step guides and hands-on examples for each topic.
4Use the `CONTRIBUTING.md` file as a guide if you want to contribute new resources or translations to the project.
5Start with the `LLM` section for basics and progress through to `multi-agent systems` for advanced topics.

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.

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