GitHub - geekan/MetaGPT: 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

🚀 Discover MetaGPT: A cutting-edge Multi-Agent Framework empowering GPTs to tackle complex tasks! 🌟 Unlock PRD, Design, Tasks, and Repo with just one line requirement. 🤖 Elevate your projects with MetaGPT's AI prowess! #AI #MachineLearning #MetaProgramming

MetaGPT is a Multi-Agent Framework for complex tasks, enabling role assignments to GPTs.
Latest updates include the launch of Data Interpreter paper on arXiv and v0.7.0 release supporting different LLM roles.
MetaGPT excels in Meta Programming for Multi-Agent Collaborative tasks, topping in the LLM-based Agent category.
MetaGPT evolves with features like serialization, multilingual support, and incremental development.
MetaGPT showcases achievements like being in Open100 and topping GitHub Trending Monthly frequently.
MetaGPT functions like a software company internally, with roles like product managers, architects, and engineers.
Core philosophy: Code = SOP(Team), manifesting SOP through teams of LLMs.
MetaGPT installation involves Python 3.9+, pip installation, and configuration through a YAML file.
Configure MetaGPT YAML file for LLM type, model, base URL, and API key.
Usage: Run MetaGPT as CLI for tasks like creating a 2048 game or as a library for project repositories generation.
MetaGPT also offers Docker installation and a demo video for a quick start.
Documentation includes usage guidance, tutorial videos, contribution opportunities, and FAQ support.
Contact MetaGPT via email or GitHub for inquiries and feedback.
Cite MetaGPT using the provided arXiv paper citation.