MetaGPT — The Multi-Agent Framework for Natural Language Programming

Overview

MetaGPT is a pioneering multi-agent framework that enables AI software companies to tackle complex tasks through natural language programming. It assigns different roles to GPTs, forming a collaborative entity that can generate user stories, competitive analysis, requirements, data structures, APIs, and more from a single line requirement. This framework stands out for its ability to simulate a software company's workflow with product managers, architects, project managers, and engineers, all orchestrated through carefully designed SOPs.

Key Features

Natural Language Processing: Converts one-line requirements into detailed software development outputs.
Multi-Agent Collaboration: Simulates a software company's roles and SOPs using LLMs.
Extensive Output Capabilities: Generates user stories, competitive analysis, requirements, data structures, APIs, and documents.

Use Cases

Software Development: Teams use MetaGPT to streamline the development process by automating the creation of user stories and requirements.
Product Management: Product managers leverage MetaGPT to perform competitive analysis and strategize product development.
Architectural Design: Architects use the framework to design data structures and APIs based on natural language inputs.

Advantages

Efficiency: Reduces the time and effort required to generate detailed software development documents.
Collaboration: Facilitates collaboration among different roles within a software development team.
Scalability: Easily scales to handle complex and large-scale software development tasks.

Limitations / Considerations

Complexity: May require a steep learning curve for new users to fully utilize its multi-agent capabilities.
Dependency on LLMs: Performance is heavily dependent on the underlying large language models.

GPT-3: A large language model that can be used for various NLP tasks, but lacks the multi-agent framework of MetaGPT.
LangChain: A framework for building applications with LLMs, which offers a different approach to task automation compared to MetaGPT's multi-agent system.

Basic Information

GitHub: https://github.com/FoundationAgents/MetaGPT
Stars: 58,233
License: Unknown
Last Commit: 2025-09-04

📊 Project Information

Project Name: MetaGPT
GitHub URL: https://github.com/FoundationAgents/MetaGPT
Programming Language: Python
⭐ Stars: 58,233
🍴 Forks: 7,029
📅 Created: 2023-06-30
🔄 Last Updated: 2025-09-04

🏷️ Project Topics

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📚 Documentation

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MetaGPT

Project Description