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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


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MetaGPT: The Multi-Agent Framework

MetaGPT logo: Enable GPT to work in software company, collaborating to tackle more complex tasks.

Assign different roles to GPTs to form a collaborative entity for complex tasks.

CN doc EN doc JA doc License: MIT roadmap Discord Follow Twitter Follow

Open in Dev Containers Open in GitHub Codespaces Hugging Face


πŸš€ Mar. 29, 2024: v0.8.0 released. Now you can use Data Interpreter (arxiv, example, code) via pypi package import. Meanwhile, we integrated RAG module and supported multiple new LLMs.

πŸš€ Feb. 08, 2024: v0.7.0 released, supporting assigning different LLMs to different Roles. We also introduced Data Interpreter, a powerful agent capable of solving a wide range of real-world problems.

πŸš€ Jan. 16, 2024: Our paper MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework accepted for oral presentation (top 1.2%) at ICLR 2024, ranking #1 in the LLM-based Agent category.

πŸš€ Jan. 03, 2024: v0.6.0 released, new features include serialization, upgraded OpenAI package and supported multiple LLM, provided minimal example for debate etc.

πŸš€ Dec. 15, 2023: v0.5.0 released, introducing some experimental features such as incremental development, multilingual, multiple programming languages, etc.

πŸ”₯ Nov. 08, 2023: MetaGPT is selected into Open100: Top 100 Open Source achievements.

πŸ”₯ Sep. 01, 2023: MetaGPT tops GitHub Trending Monthly for the 17th time in August 2023.

🌟 Jun. 30, 2023: MetaGPT is now open source.

🌟 Apr. 24, 2023: First line of MetaGPT code committed.

Software Company as Multi-Agent System

  1. MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.
  2. Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
    1. 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

Software Company Multi-Agent Schematic (Gradually Implementing)

Get Started


Ensure that Python 3.9+ 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+`
# or `git clone && cd MetaGPT && pip install --upgrade -e .`

For detailed installation guidance, please refer to cli_install or docker_install


You can init the config of MetaGPT by running the following command, or manually create ~/.metagpt/config2.yaml file:

# Check 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:

  api_type: "openai"  # or azure / ollama / groq etc. Check LLMType for more options
  model: "gpt-4-turbo"  # or gpt-3.5-turbo
  base_url: ""  # or forward url / other llm url
  api_key: "YOUR_API_KEY"


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, 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"Run data analysis on sklearn Iris dataset, include a plot")  # or await main() in a jupyter notebook setting

QuickStart & Demo Video




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Contributor form

πŸ“ 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!

We will respond to all questions within 2-3 business days.


To stay updated with the latest research and development, follow @MetaGPT_ on Twitter.

To cite MetaGPT or Data Interpreter in publications, please use the following BibTeX entries.

      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},
      title={Data Interpreter: An LLM Agent For Data Science}, 
      author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu},