MetaGPT: The Multi-Agent Framework

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

News

🚀 Mar. 29, 2024: v0.8.0 released. Now you can use Data Interpreter via pypi package import. Meanwhile, we integrated RAG module and supported multiple new LLMs.

🚀 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)

Get Started

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 --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 .`

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:

# 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 / 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 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("