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AI Agent

Reviewed 19 July 2026 Canonical definition Part of: MCP & Agent Protocol Terms →

An AI agent is an autonomous software system that uses a large language model as its reasoning engine to perceive its environment, plan actions, call tools, and complete tasks with minimal human intervention at each step. Unlike a simple AI assistant that responds to single queries, an agent maintains state across multiple steps, makes decisions based on intermediate results, and can trigger real-world effects through tool calls and API integrations.

§01 / QUESTIONSterm: AI Agent
Questions

Common questions.

What is AI Agent?

An AI agent is an autonomous software system that uses a large language model as its reasoning engine to perceive its environment, plan actions, call tools, and complete tasks with minimal human intervention at each step.

How does AI Agent work?

Unlike a simple AI assistant that responds to single queries, an agent maintains state across multiple steps, makes decisions based on intermediate results, and can trigger real-world effects through tool calls and API integrations.

Which terms are related to AI Agent?

Closely related concepts include A2A Protocol (Agent-to-Agent Protocol), Context Window Poisoning, Exfiltration via Agent, MCP (Model Context Protocol). Each is defined in the Prefactor glossary.

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Where this fits.

See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.