GitHub - geekan/MetaGPT: ๐ŸŒŸ The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

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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

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News

๐Ÿš€ Feb. 08, 2024: v0.7.0 released, supporting assigning different LLMs to different Roles. We also introduced Interpreter, a powerful agent capable of solving a wide range of real-world problems.

๐Ÿš€ 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.

๐Ÿš€ Jan. 03, 2024: v0.6.0 released, new features include serialization, upgraded OpenAI package and supported multiple LLM, provided minimal example for debate etc.

๐Ÿš€ Dec. 15, 2023: v0.5.0 released, introducing some experimental features such as incremental development, multilingual, multiple programming languages, etc.

๐Ÿ”ฅ Nov. 08, 2023: MetaGPT is selected into Open100: Top 100 Open Source achievements.

๐Ÿ”ฅ Sep. 01, 2023: MetaGPT tops GitHub Trending Monthly for the 17th time in August 2023.

๐ŸŒŸ Jun. 30, 2023: MetaGPT is now open source.

๐ŸŒŸ 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)

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_installor docker_install

Docker installation

โฌ 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

โฌ 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

โฌ 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

Tutorial

Support

Discard Join US

๐Ÿ“ข Join Our Discord Channel!

Looking forward to seeing you there! ๐ŸŽ‰

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.

Citation

For now, cite the arXiv paper:

@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 Jรผrgen Schmidhuber}, year={2023}, eprint={2308.00352}, archivePrefix={arXiv}, primaryClass={cs.AI} }

ใƒชใƒณใ‚ฏ
https://github.com/geekan/MetaGPT
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MetaGPT is a multi-agent framework that assigns different roles to GPTs to collaborate on complex tasks. The framework allows for assigning different LLMs to roles, introducing an Interpreter agent for solving real-world problems. MetaGPT has been well-received, with a recent release supporting multiple LLMs and features like serialization. It has gained recognition in the open-source community and topped GitHub Trending Monthly multiple times. MetaGPT operates as a software company multi-agent system, with internal roles like product managers and engineers, following a core philosophy of 'Code = SOP(Team)'. The framework automates the software development process, generating user stories, competitive analysis, and more from a one-line requirement input. Installation is straightforward with pip, requiring Python 3.9+ installed on the system.
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