What is Autonomous Agent?
It is software that sets goals on its own, without human intervention, and takes the necessary steps to achieve these goals.
Overview
Autonomous agents are not just vehicles that wait for commands, but systems that make their own plans to complete a task. When they encounter a problem, they can try different methods and manage the process until they reach their goals. Thanks to their ability to make their own decisions, they can carry out complex tasks end-to-end.
How it works
AI models create a task list and perform each step in order, updating its strategy based on feedback.
Where it is used
It is used in automation systems, data analysis processes and complex workflows.
Commonly confused with
It can be confused with ordinary chatbots; bots just respond, while autonomous agents do the work.
Frequently asked questions
Can autonomous agents make mistakes?
Yes, they may follow a wrong strategy as they decide on their own, so it is important to keep them under control.
What models are used for autonomous agents?
Generally based on LLMs with advanced reasoning ability.
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 →