Master MetaGPT with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Install Python
9+ and verify with 'python
version' command Install MetaGPT using 'pip install
upgrade metagpt' in your terminal Initialize configuration by running 'metagpt
config' to create ~/.metagpt/config
yaml Configure your LLM API key in the config file (OpenAI, Azure, or other supported providers) Test the installation by running 'metagpt "Create a simple calculator app"' to generate your first project
💡 Quick Start: Follow these 6 steps in order to get up and running with MetaGPT quickly.
MetaGPT simulates an entire software company with multiple specialized AI agents (product manager, architect, engineer, QA) working together, rather than a single AI handling all tasks. This collaborative approach produces more comprehensive and structured software projects.
MetaGPT costs approximately $0.20 in LLM API fees for analysis and design, and around $2.00 for a complete software project, making it highly cost-effective compared to human development teams.
MetaGPT primarily focuses on Python-based development but can generate code structures and documentation for other languages. The framework itself is Python-based and optimized for Python project generation.
Yes, MetaGPT can be integrated into existing CI/CD pipelines and works with popular development tools. It supports configuration through YAML files and can be deployed in various environments including Docker containers.
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Tutorial updated March 2026