foundationagents/metagpt

MetaGPT is a Python framework that simulates a software company using multiple AI agents, each assigned a different professional role. The core idea is that building software from a single AI prompt often produces shallow or incomplete results, but if you organize AI agents to act as a product manager, architect, project manager, and engineers, each contributing their specialized perspective in sequence, you can produce more complete, structured software projects from a single high-level description. In practice, you give MetaGPT a one-line requirement like "create a 2048 game" and it produces an entire project directory with user stories, competitive analysis, architecture diagrams, API designs, data structures, code, and documentation. Internally, the agents follow standardized operating procedures (similar to how a real company would hand off work between departments), which helps keep the output coherent rather than chaotic. The framework also includes components like a Data Interpreter agent, which can write and execute code for data analysis tasks, and tools for building custom single or multi-agent workflows. Agents communicate with each other and collaborate by passing structured messages and artifacts, rather than each working independently. You would reach for MetaGPT when you want to automate the early stages of software development, prototyping an idea quickly, generating a project scaffold, or exploring what a full feature specification and codebase for a concept might look like. It is not a replacement for professional engineering on production systems, but it is a powerful tool for ideation, rapid prototyping, and research into AI agent coordination. The framework requires Python 3.9 to 3.11 and is configured to work with OpenAI-compatible language model APIs, though it supports other backends like Azure or Ollama as well.