Autonomous Agent
An AI capable of independently defining steps, using tools, and adapting to errors.
Definition
An autonomous agent is an AI system that can independently perceive its environment, formulate plans, execute actions using external tools, and adapt its approach based on feedback, all with minimal or no human intervention. Unlike simple chatbots that respond to individual prompts, autonomous agents maintain goals across multiple steps and make decisions about how to achieve them.
Key characteristics of autonomous agents include:
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Goal-Directed Behavior: The agent receives a high-level objective and independently determines the sequence of steps needed to accomplish it, rather than requiring explicit instructions for each action.
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Tool and Environment Interaction: Autonomous agents can invoke APIs, read and write files, execute code, browse the web, and interact with other software systems to carry out their plans.
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Error Recovery: When an action fails or produces unexpected results, the agent can diagnose the issue, revise its plan, and retry with a different approach without human guidance.
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Bounded Autonomy: In practice, well-designed autonomous agents operate within defined guardrails, permission scopes, and escalation policies that limit risk while preserving flexibility. An Eval Harness validates agent behavior against expected outcomes, and Human In The Loop gates ensure that high-stakes decisions receive human approval before execution.
Autonomous agents power tools like Claude Code, Devin, and OpenAI Codex, where an AI independently navigates codebases, runs tests, and iterates toward working solutions.