MetaGPT is a multi-agent framework that enables large language models to collaborate as a simulated software company to tackle complex tasks. The core philosophy centers on the principle that code equals the standard operating procedures of a team, materializing organizational workflows through LLM-based agents. The framework takes a single-line natural language requirement as input and produces comprehensive software development artifacts including user stories, competitive analysis, requirements specifications, data structures, APIs, and documentation.
The system internally simulates different professional roles found in a traditional software company, including product managers, architects, project managers, and engineers. Each role operates with carefully orchestrated standard operating procedures that guide their interactions and outputs. This multi-agent approach enables MetaGPT to handle the entire software development lifecycle through coordinated agent collaboration rather than sequential processing.
The repository overlaps with major projects including microsoft/vscode, microsoft/typescript, and rust-lang/rust through shared contributors, suggesting integration with broader development ecosystems.
The framework is classified across multiple domains including multi-agent systems, AI collaboration, software generation, autonomous agents, prompt engineering, task automation, natural language processing, code synthesis, workflow orchestration, and agent communication. Recent developments include the launch of MGX, described as the world's first AI agent development team for natural language programming, which achieved Product of the Week status on Product Hunt in March 2025. The project has also contributed to academic research, with the AFlow paper on automating agentic workflow generation accepted for oral presentation at ICLR 2025, ranking second in the LLM-based Agent category.
MetaGPT is written in Python and requires Python 3.9 or later but less than 3.12. Installation requires Node.js and pnpm alongside the Python environment. The project provides comprehensive documentation, tutorials, and use cases including a Data Interpreter for code generation, debate scenarios, researcher agents, and receipt processing assistants. The framework is distributed under the MIT license and maintains active community channels including Discord and Twitter presence. The project accepts contributions through a formal contributor form and provides support through email and GitHub issues with a stated response time of two to three business days.
