Discover / AI Agents
MetaGPT Multi-Agent Framework
by geekanPython
Multi-agent framework assigning roles (PM, Architect, Engineer) to produce complete software projects.
Maturity: slowing because last commit 6 months ago. Derived from release and commit history, not a rating.
- Stars
- 70k
- Forks
- 8.9k
- Downloads / mo
- —
- Last commit
- 2026-01-21
- License
- MIT
- Open issues
- 140
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In practice
Written by AI from this repository’s README · high confidenceGoing from a one line requirement to specs, designs and code otherwise means prompting each role in turn by hand.
Use it when
When you want an SOP driven team of product manager, architect and engineer agents to draft a software project.
Not the right pick when
The environment is tightly constrained to Python 3.9 up to but excluding 3.12, plus node and pnpm.
Capabilities
- Expands a one line requirement into stories, analysis and APIs
- Built in product manager, architect, project manager and engineer roles
- CLI command that generates a repo in ./workspace
- Usable as a library through generate_repo
- Data Interpreter for writing and running analysis code
Requirements
- Python 3.9 or later but less than 3.12
- node and pnpm installed before actual use
- An LLM api_key configured in ~/.metagpt/config2.yaml
Cost: Free and open source
Install
Derived from the published package name in the repository, not from a model.
Video walkthroughs
MetaGPT X (MGX) – Meet 6 AI Agent TeamThat Builds Full-Cycle Websites Like a Pro Dev Crew
MetaGPT - Multi-Agent Framework with GPT-4
Third-party YouTube uploads matched to this tool by title, channel and repository name on 2026-08-03. Not made, reviewed or endorsed by SkillPilot. View counts and publish months are as of the match date and the month is approximate. Nothing loads from YouTube until you press play.
What the repository ships
Detected from the actual files in the repository root.
Latest release v0.8.1
Published 2024-04-22
fix bug
Tags
README
MetaGPT: The Multi-Agent Framework
<p align="center">
<a href=""><img src="docs/resources/MetaGPT-new-log.png" alt="MetaGPT logo: Enable GPT to work in a software company, collaborating to tackle more complex tasks." width="150px"></a>
</p>
<p align="center">
[ <b>En</b> |
<a href="docs/README_CN.md">中</a> |
<a href="docs/README_FR.md">Fr</a> |
<a href="docs/README_JA.md">日</a> ]
<b>Assign different roles to GPTs to form a collaborative entity for complex tasks.</b>
</p>
<p align="center">
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
<a href="https://discord.gg/DYn29wFk9z"><img src="https://img.shields.io/badge/Join-Discord-gGnrXvVz7a?logo=discord" alt="Discord Follow"></a>
<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
</p>
<h4 align="center">
</h4>
News
🚀 Mar. 10, 2025: 🎉 mgx.dev is the #1 Product of the Week on @ProductHunt! 🏆
🚀 Mar. 4, 2025: 🎉 mgx.dev is the #1 Product of the Day on @ProductHunt! 🏆
🚀 Feb. 19, 2025: Today we are officially launching our natural language programming product: MGX (MetaGPT X) - the world's first AI agent development team. More details on Twitter.
🚀 Feb. 17, 2025: We introduced two papers: SPO and AOT, check the code!
🚀 Jan. 22, 2025: Our paper AFlow: Automating Agentic Workflow Generation accepted for oral presentation (top 1.8%) at ICLR 2025, ranking #2 in the LLM-based Agent category.
👉👉 Earlier news
Software Company as Multi-Agent System
- MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.
- Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
Code = SOP(Team)is the core philosophy. We materialize SOP and apply it to teams composed of LLMs.
A software company consists of LLM-based roles
<p align="center">Software Company Multi-Agent Schematic (Gradually Implementing)</p>
Get Started
Installation
Ensure that Python 3.9 or later, but less than 3.12, is installed on your system. You can check this by using:
python --version.You can use conda like this:
conda create -n metagpt python=3.9 && conda activate metagpt
pip install --upgrade metagpt
# or `pip install --upgrade git+https://github.com/geekan/MetaGPT.git`
# or `git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e .`
Install node and pnpm before actual use.
For detailed installation guidance, please refer to cli_install
Configuration
You can init the config of MetaGPT by running the following command, or manually create ~/.metagpt/config2.yaml file:
# Check https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html for more details
metagpt --init-config # it will create ~/.metagpt/config2.yaml, just modify it to your needs
You can configure ~/.metagpt/config2.yaml according to the example and doc:
llm:
api_type: "openai" # or azure / ollama / groq etc. Check LLMType for more options
model: "gpt-4-turbo" # or gpt-3.5-turbo
base_url: "https://api.openai.com/v1" # or forward url / other llm url
api_key: "YOUR_API_KEY"
Usage
After installation, you can use MetaGPT at CLI
metagpt "Create a 2048 game" # this will create a repo in ./workspace
or use it as library
from metagpt.software_company import generate_repo
from metagpt.utils.project_repo import ProjectRepo
repo: ProjectRepo = generate_repo("Create a 2048 game") # or ProjectRepo("<path>")
print(repo) # it will print the repo structure with files
You can also use Data Interpreter to write code:
import asyncio
from metagpt.roles.di.data_interpreter import DataInterpreter
async def main():
di = DataInterpreter()
await di.run("Run data analysis on sklearn Iris dataset, include a plot")
asyncio.run(main()) # or await main() in a jupyter notebook setting
QuickStart & Demo Video
- Try it on MetaGPT Huggingface Space
- Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!
- Official Demo Video
https://github.com/user-attachments/assets/888cb169-78c3-4a42-9d62-9d90ed3928c9
Tutorial
- 🗒 Online Document
- 💻 Usage
- 🔎 What can MetaGPT do?
- 🛠 How to build your own agents?
- MetaGPT Usage & Development Guide | Agent 101
- MetaGPT Usage & Development Guide | MultiAgent 101
- 🧑💻 Contribution
- Develop Roadmap
- 🔖 Use Cases
- Data Interpreter
- Debate
- Researcher
- Receipt Assistant
- ❓ FAQs
Support
Discord Join US
📢 Join Our Discord Channel! Looking forward to seeing you there! 🎉
Contributor form
📝 Fill out the form to become a contributor. We are looking forward to your participation!
Contact Information
If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!
- Email: alexanderwu@deepwisdom.ai
- GitHub Issues: For more technical inquiries, you can also create a new issue in our GitHub repository.
We will respond to all questions within 2-3 business days.
Citation
To stay updated with the latest research and development, follow @MetaGPT_ on Twitter.
To cite MetaGPT in publications, please use the following BibTeX entries.
@inproceedings{hong2024metagpt,
title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024},
url={https://openreview.net/forum?id=VtmBAGCN7o}
}
For more work, please refer to Academic Work.