Project Introduction
MetaGPT has gained 10,000 stars on GitHub. It is a multi-agent framework that can play the roles of engineers, product managers, architects, project managers, and more. With just one line of text, it can output the entire process of a software company along with meticulously crafted standard operating procedures (SOPs):▸ Data Structures▸ API▸ Documentation▸ User Stories▸ Competitive Analysis▸ Requirements
The achievements of MetaGPT are indeed impressive, especially its potential to automate and simplify complex business processes. Through precise analysis and understanding, it can effectively simulate the responsibilities of multiple roles, assisting software companies in various tasks such as designing data structures, developing APIs, writing documentation, extracting user stories, conducting competitive analysis, and identifying requirements.
This tool could have significant value in enhancing productivity and efficiency, reducing workload, and accelerating decision-making processes. However, we must also be aware that, like all AI tools, using MetaGPT requires careful monitoring and management to ensure the quality and accuracy of its outputs.
Installation
Traditional Installation
# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js.npm --versionsudo 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/metagptcd metagptpython setup.py installInstallation via Docker
# Step 1: Download the metagpt official image and prepare config.yaml
docker pull metagpt/metagpt:v0.3.1mkdir -p /opt/metagpt/{config,workspace}docker run --rm metagpt/metagpt:v0.3.1 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yamlvim /opt/metagpt/config/key.yaml # Change the config
# Step 2: Run the metagpt demo with a container
docker run --rm \ --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ metagpt/metagpt:v0.3.1 \ python startup.py "Write a cli snake game"
# You can also start a container and execute commands in it
docker run --name metagpt -d \ --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ metagpt/metagpt:v0.3.1
docker exec -it metagpt /bin/bash$ python startup.py "Write a cli snake game"Project Links
https://github.com/geekan/MetaGPT
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