README

MetaGPT: The Multi-Agent Framework






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









    


 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

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

 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

bash
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
 or docker_install

 Configuration

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

yaml
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

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


or use it as library

python
from metagpt.software_company import generate_repo
from metagpt.utils.project_repo import ProjectRepo

repo: ProjectRepo = generate_repo("Create a 2048 game")   or ProjectRepo("")
print(repo)   it will print the repo structure with files


You ca

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