Learn MetaGPT by building agents, not just calling APIs

What it does Hugging Multi-Agent is a Chinese-language tutorial that teaches developers to implement single and multi-agent systems on top of MetaGPT. It moves from basic agent concepts to concrete roles like a coding assistant and a technical writer, then scales up to multi-agent teams and environments. The audience is expected to know Python, preferably async, and to be comfortable reading framework source.

The interesting bit Rather than treating MetaGPT as a magic black box, the curriculum makes you hand-write SimpleCoder and RunnableCoder roles, wire them into Team topologies, and assigns homework. It is essentially a guided framework dissection with exercises.

Key highlights

• Built around MetaGPT (ICLR 2024 Oral), covering both single-agent and multi-agent patterns
• Hands-on implementations: a code generator, a tutorial assistant, and a multi-agent debate system
• Explicitly expects Python async literacy and the ability to read project source code
• Includes homework and case-study breakdowns, not just conceptual overviews
• Roadmap teases future chapters on werewolf games, Minecraft agents, and RL-based OverCooked AI

Caveats

• Much content still lives on Feishu docs; migration into the repository is pending
• Several promised advanced topics (Python concurrency, werewolf/Minecraft/OverCooked case studies) remain unchecked on the roadmap
• The repository is a documentation site and curriculum, not a standalone agent library

Verdict A solid starting point for Chinese-speaking developers who want to understand MetaGPT internals rather than merely invoke them. Look elsewhere if you need a polished English guide or a drop-in framework to install.