Detailed overview
MetaGPT is an open-source multi-agent framework that simulates a software company by assigning LLM-driven agents to roles such as product manager, architect, project manager, and engineer. Given a single natural-language requirement, it orchestrates these roles through standard operating procedures to generate user stories, competitive analysis, requirements docs, data structures, APIs, and runnable code repositories. It can be used via CLI (e.g., 'metagpt "Create a 2048 game"'), as a Python library (generate_repo), or through its Data Interpreter role for automated data analysis and visualization tasks in notebooks. It fits into early-stage prototyping and research workflows where teams want to explore automated, role-based software generation rather than production-ready development. Setup requires Python 3.9–3.11, Node, and pnpm, plus configuration of an LLM API key. Generated artifacts require human review, and the project positions itself as a research and experimentation tool rather than a finished production pipeline.
Pricing details
Open-source framework; model and hosting costs apply.
Visit MetaGPTKey features
- Multi-agent roles
- Product planning
- Code generation
- Documentation
Systems you can build
- Games
- Data pipelines
- Internal tools
Strengths
- Interesting role-based workflows
- Open source
- Useful for prototypes
Limitations
- Complex to configure
- Generated output needs review
- Model costs can grow
Verification sources
Listing details are checked against official sources.
https://github.com/geekan/MetaGPT