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.

