AI Agent
Agents & AutomationAn AI system that can independently plan, make decisions, and take actions to accomplish goals — going beyond simple question-and-answer interactions.
An AI agent is an AI system that doesn't just respond to prompts but actively works toward goals. It can break down complex tasks into steps, use external tools (search engines, code execution, file systems), and make decisions about what to do next without human intervention at each step.
Think of the difference between asking ChatGPT a question (chatbot) versus asking Devin to build you a web app (agent). The agent plans its approach, writes code, tests it, debugs errors, and iterates — all autonomously.
AI agents are one of the fastest-growing areas in AI. Tools like AutoGPT, CrewAI, Claude Code, and Manus represent different approaches to agentic AI. The key challenge is reliability — agents can go off track or make compounding errors without human oversight.
Real-World Example
Claude Code acts as an AI agent — it reads your codebase and autonomously writes and tests code across multiple files.
Related Terms
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FAQ
What is AI Agent?
An AI system that can independently plan, make decisions, and take actions to accomplish goals — going beyond simple question-and-answer interactions.
How is AI Agent used in practice?
Claude Code acts as an AI agent — it reads your codebase and autonomously writes and tests code across multiple files.
What concepts are related to AI Agent?
Key related concepts include Agentic AI, Autonomous Agent, Tool Use (Function Calling), MCP (Model Context Protocol), Multi-Agent System. Understanding these together gives a more complete picture of how AI Agent fits into the AI landscape.