Thought Leadership
MetaGPT is an AI system that functions as a kind of “orchestrator” for various AI agents.
What is MetaGPT?
With MetaGPT, an innovative framework enters the AI stage that orchestrates various large language models (LLMs) as specialized agents in a team. While traditional development processes use individual AIs for isolated tasks, the innovative multi-agent framework simulates a complete development team: one agent takes on the role of product manager, another works as a software architect, while others act as project managers or developers. These AI agents communicate with each other via a chat interface and follow the assembly line principle – similar to a classic CI/CD pipeline (CI/CD Continuous Integration/Continuous Deployment).
How does MetaGPT work?
The system coordinates several AI agents, each of which takes on specialized roles (e.g. product manager, architect, project manager, engineer)
These agents work together according to the “assembly line principle” – complex tasks are broken down into defined sub-steps and systematically processed
The special feature is the chat-based interaction between the agents, which is based on Large Language Models (LLMs)
A practical example is “software development at the push of a button”, where the various AI agents work together in their specific roles
It is important to understand that this AI system requires clear processes and defined roles. It is therefore not suitable for unstructured problems. The system must be adapted to specific task areas. MetaGPT delivers more reliable results than individual LLMs because it works with clearly defined parameters.
Practical use cases
- Prototyping and MVP development (a Minimum Viable Product (MVP) is a product that can be used as a minimum).
- Documentation creation and knowledge management
- Support for agile software development processes
- Automated code analysis and optimization
MetaGPT thus represents an important step towards “team-capable” AI that can solve complex tasks through structured collaboration between different specialized AI agents.
