MetaGPT

MetaGPT

AI-driven multi-agent system for software creation:

MetaGPT is a multi-agent system designed to replicate a software development company, where various AI agents are assigned specific roles to work together on complex tasks. It converts simple one-liner requirements into detailed software development deliverables.

Details

Free
Open Source

MetaGPT: The AI-Driven Multi-Agent Framework for Software Creation

Overview

MetaGPT is a groundbreaking framework that redefines the software development process by simulating a full AI-powered software company. By assigning distinct roles to GPT-based agents, MetaGPT forms a cooperative AI entity that can efficiently handle complex tasks from the initial phase to final execution.

Main Features

Single-Line Input to Complete Software Deliverables

One of MetaGPT’s most remarkable abilities is to convert a simple one-line input into a comprehensive set of software deliverables, such as:

  • User stories
  • Market analysis
  • Thorough specifications
  • Data models
  • API blueprints
  • Documentation

AI-Powered Roles in the Team

The framework consists of various AI agents, taking on roles such as:

  • Product managers
  • System architects
  • Project leaders
  • Software developers

Each agent applies its expertise to the development process, mimicking the structure of a real software company.

Standardized Procedures (SOPs)

MetaGPT follows the principle that Code = SOP(Team). It translates SOPs into action, ensuring they’re applied across teams made up of Large Language Models (LLMs), promoting a smooth and efficient development workflow.

How MetaGPT Operates

Agent Framework

Each agent within MetaGPT includes the following components:

  • Large Language Model (LLM)
  • Ability to observe and analyze
  • Reasoning capabilities
  • Ability to execute actions
  • Memory storage

These elements allow agents to perceive, process, decide, and perform tasks like human team members.

Multi-Agent Ecosystem

MetaGPT is built on the following core structure:

  • A variety of specialized agents
  • A shared working environment
  • Defined SOPs
  • Communication between agents
  • An internal system for resource management

This setup fosters complex inter-agent collaborations, replicating the workings of a human software development team.

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