MetaGPT: The Multi-Agent Framework

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

News

🚀 Mar. 14, 2024: Our Data Interpreter paper is on arxiv. Check the example and code!

🚀 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.

🚀 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.

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

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

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

🔥 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.

Software Company Multi-Agent Schematic (Gradually Implementing)

Install

Pip installation

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 metagpt
# https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html
metagpt --init-config  # it will create ~/.metagpt/config2.yaml, just modify it to your needs

Configuration

You can configure ~/.metagpt/config2.yaml according to the example and doc:

llm:
  api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
  model: "gpt-4-turbo-preview"  # or gpt-3.5-turbo-1106 / gpt-4-1106-preview
  base_url: "https://api.openai.com/v1"  # or forward url / other llm url
  api_key: "YOUR_API_KEY"

Usage

After installation, you can use it as CLI

metagpt "Create a 2048 game"  # this will create a repo in ./workspace

or you can 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

detail installation please refer to cli_install or docker_install

Docker installation

⏬ Step 1: Download metagpt image and prepare config2.yaml :: click to expand ::

docker pull metagpt/metagpt:latest
mkdir -p /opt/metagpt/{config,workspace}
docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
vim /opt/metagpt/config/config2.yaml # Change the config

⏬ Step 2: Run metagpt container :: click to expand ::

docker run --name metagpt -d \
    --privileged \
    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
    -v /opt/metagpt/workspace:/app/metagpt/workspace \
    metagpt/metagpt:latest

⏬ Step 3: Use metagpt :: click to expand ::

docker exec -it metagpt /bin/bash
$ metagpt "Create a 2048 game"  # this will create a repo in ./workspace

QuickStart & Demo Video

• Try it on MetaGPT Huggingface Space
• Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!
• Official Demo Video

customized_tasks_by_MetaGPT_v2.mp4

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
  • Debate
  • Researcher
  • Recepit Assistant
• ❓ FAQs

Support

Discard Join US

📢 Join Our Discord Channel!

Looking forward to seeing you there! 🎉

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

If you use MetaGPT or Data Interpreter in a research paper, please cite our work as follows:

@misc{hong2023metagpt,
      title={MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework}, 
      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Ceyao Zhang and Jinlin Wang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and Jürgen Schmidhuber},
      year={2023},
      eprint={2308.00352},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
@misc{hong2024data,
      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},
      year={2024},
      eprint={2402.18679},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}