MetaGPT

Why we included this project

MetaGPT takes a one-line requirement and runs it through a simulated software company: separate LLM agents play product manager, architect, project manager, and engineer, each following a defined standard operating procedure, and the output is user stories, requirements, data structures, APIs, and code. For developers and small teams, that means you can describe an app in a sentence and get a working prototype back, and the role-based design is also a useful reference if you want to see how structured agent collaboration actually works. The Data Interpreter role handles data analysis and coding tasks, and the framework can be imported as a library in your own Python workflows rather than only used through the CLI. Published papers and active documentation make it easier to adapt the agent patterns to your own systems.