MetaGPT: Multi-Agent Meta Programming Framework

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

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-Role Schematic (Gradually Implementing)

Examples (fully generated by GPT-4)

For example, if you type python startup.py "Design a RecSys like Toutiao", you would get many outputs, one of them is data & api design

It requires around $0.2 (GPT-4 api's costs) to generate one example with analysis and design, around $2.0 to a full project.

Installation

Traditional Installation

# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js.
npm --version
sudo npm install -g @mermaid-js/mermaid-cli

# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
python --version

# Step 3: Clone the repository to your local machine, and install it.
git clone https://github.com/geekan/metagpt
cd metagpt
python setup.py install

Installation by Docker

# Step 1: Download metagpt official image and prepare config.yaml
docker pull metagpt/metagpt:v0.1
mkdir -p /opt/metagpt/config && docker run --rm metagpt/metagpt:v0.1 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/config.yaml
vim /opt/metagpt/config/config.yaml # Change the config

# Step 2: Run metagpt image
docker run --name metagpt -d \
    -v /opt/metagpt/config:/app/metagpt/config \
    -v /opt/metagpt/workspace:/app/metagpt/workspace \
    metagpt/metagpt:v0.1

# Step 3: Access the metagpt container
docker exec -it metagpt /bin/bash

# Step 4: Play in the container
cd /app/metagpt
python startup.py "Write a cli snake game"

The command docker run ... do the following things:

• Start metagpt container with default command tail -f /dev/null
• Map host directory /opt/metagtp/config to container directory /app/metagpt/config
• Map host directory /opt/metagpt/workspace to container directory /app/metagpt/workspace

Build image by yourself

# You can also build metagpt image by yourself.
cd metagpt && docker build --network host -t metagpt:v0.1 .

Configuration

• Configure your OPENAI_API_KEY in any of config/key.yaml / config/config.yaml / env
• Priority order: config/key.yaml > config/config.yaml > env

# Copy the configuration file and make the necessary modifications.
cp config/config.yaml config/key.yaml

Variable Name	config/key.yaml	env
OPENAI_API_KEY # Replace with your own key	OPENAI_API_KEY: "sk-..."	export OPENAI_API_KEY="sk-..."
OPENAI_API_BASE # Optional	OPENAI_API_BASE: "https://<YOUR_SITE>/v1"	export OPENAI_API_BASE="https://<YOUR_SITE>/v1"

Tutorial: Initiating a startup

python startup.py "Write a cli snake game"

After running the script, you can find your new project in the workspace/ directory.

Code walkthrough

from metagpt.software_company import SoftwareCompany
from metagpt.roles import ProjectManager, ProductManager, Architect, Engineer

async def startup(idea: str, investment: float = 3.0, n_round: int = 5):
    """Run a startup. Be a boss."""
    company = SoftwareCompany()
    company.hire([ProductManager(), Architect(), ProjectManager(), Engineer()])
    company.invest(investment)
    company.start_project(idea)
    await company.run(n_round=n_round)

You can check examples for more details on single role (with knowledge base) and LLM only examples.

Contact Information

If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!

• Email: [email protected]
• 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.

Demo

demo-cli-blackjack-compress.mp4