What is Multi-agent?
It is the collaboration of more than one artificial intelligence software for a common goal by dividing a complex task.
Overview
In multi-agent systems, each artificial intelligence agent acts as an employee with its own area of expertise. While one agent plans, another writes code, and another checks the results. In this way, tasks that a single model would have difficulty doing alone are completed much faster and without errors in cooperation.
How it works
Define one main task and divide it into sub-parts. Assign an agent with special abilities to each piece. Manage the process by ensuring that these agents communicate with each other.
Where it is used
It is frequently used in software development, complex data analysis and automated workflows.
Commonly confused with
It is different from a single AI model; What is important here is the interaction of the agents with each other.
Frequently asked questions
How do agents get along?
They usually message via a 'conductor' agent or a predetermined communication protocol.
Why don't we use a single powerful model?
When tasks become very complex, smaller specialized models combine to make fewer errors and produce better results.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →