What is AI Agents?

Autonomous AI software systems that leverage LLMs for reasoning, maintain persistent memory, formulate sequential execution plans, and interact with tools and APIs to accomplish long-horizon objectives.

Key facts

Operate in iterative loops: Perceive → Reason → Plan → Act → Verify.
Capable of self-correction when tool invocations fail or output errors.
Can collaborate across multi-agent swarms with specialized sub-roles.
Used widely in autonomous software engineering, browser automation, and data pipelines.

Explanation

While standard chat interfaces respond to isolated inputs, AI agents possess agency: the ability to set intermediate goals, call external tools (such as terminal shells, browsers, and GitHub APIs), inspect tool feedback, and adapt their strategy dynamically until the user’s high-level command is completed.

Leading frameworks such as LangChain, AutoGen, and CrewAI enable distributed agent orchestration with human-in-the-loop validation checkpoints.