# datawhalechina/hugging-multi-agent

A tutorial based on MetaGPT to quickly help you understand the concept of agent and muti-agent and get started with coding development. 基于MetaGPT的多智能体入门与开发教程

Repository: https://github.com/datawhalechina/hugging-multi-agent
Canonical: https://ross.abutalabs.com/products/hugging-multi-agent
Homepage: https://deepwisdom.feishu.cn/wiki/MLILw0EdRiyiYRkJLgOcskyAnUh
Language: CSS
License Family: other
Last push: 2024-05-10T13:40:58+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 71
- inputs: {"age_days": 996, "days_push": 845, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1411, forks 161 (observed 2026-08-28T04:04:39.005991+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: agent-framework, llm-inference, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, developer-tools
- platform: python, cross-platform
- tags: metagpt, multi-agent, tutorial, datawhale, chinese, llm-agents, ai-agents

## Member repositories
- datawhalechina/hugging-multi-agent (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:39.005991+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:38:23.375764+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/hugging-multi-agent (fetched 2026-08-28T04:04:39.005991+00:00, sha c0c67d438cc7)
- Data as of 2026-08-30T08:39:29.467469+00:00.