What is Subagents?
They are auxiliary units that perform smaller and specialized tasks under the management of a main artificial intelligence system.
Overview
Sub-agents arise when a large AI system breaks down and delegates tasks to solve a complex problem. Each sub-agent focuses only on its own area of expertise and reports to the main agent. This structure allows artificial intelligence to manage much more complex tasks without making mistakes.
How it works
Break a complex workflow into smaller parts and define a special system prompt for each part. Then set rules for when the master agent calls these sub-agents.
Where it is used
It is used in advanced artificial intelligence systems, multi-step tasks, and complex data analysis projects.
Commonly confused with
It is similar to the multi-agent LLM, but the subagent concept emphasizes a more hierarchical management model.
Frequently asked questions
Why do we use sub-agents instead of a single powerful agent?
A single agent may lose focus while trying to do everything, while sub-agents provide more accurate results because they are specialized.
Can sub-agents talk to each other?
Yes, they can usually exchange information through the host agent or directly via a communication protocol.
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 →