datawhalechina/hugging-multi-agent resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1411 stars · 161 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Datawhale tutorial based on the MetaGPT multi-agent framework that teaches the concepts of AI agents and multi-agent systems through hands-on coding. It covers agent architecture, building single agents, and developing multi-agent systems like debates and teams.

Use cases

• learn multi-agent system development with MetaGPT
• understand AI agent concepts from a code-level perspective
• build a simple coding assistant agent
• implement a multi-agent debate system
• get started with LLM agent framework development
• study agent personalization and role-based design

When to choose

• you have Python basics and want hands-on agent development practice
• you want a structured course on MetaGPT and multi-agent frameworks
• you prefer learning by reading and writing agent source code
• you are an engineer targeting a career in LLM and agent development

When to avoid

• you only want prompt engineering without coding
• you need a production agent framework rather than a tutorial
• you have no Python programming background
• you need content in English only

Facets

learning-resource · maturity maintenance

agent-framework llm-inference developer-tools artificial-intelligence large-language-models tutorials developer-tools python cross-platform metagpt multi-agent tutorial datawhale chinese llm-agents ai-agents

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markdown · JSON · MCP: product_card(name="datawhalechina/hugging-multi-agent")