Autonomous Agent
An AI system that can independently perceive its environment, make decisions, and take actions to achieve goals without constant human supervision.
Key Components
An autonomous agent typically combines: a foundation model (LLM) for reasoning, a planning module for breaking down tasks, memory for retaining context, and tool use capabilities for interacting with external systems.
Examples
Code-writing agents that can plan, implement, and debug software. Research agents that search the web, synthesize findings, and write reports. Customer service agents that handle multi-step support workflows.
Challenges
Reliability and hallucination remain key issues. Agents can get stuck in loops, make compounding errors, or take unintended actions. Human-in-the-loop oversight is still essential for high-stakes applications.