What is Agentic AI?
Agentic AI refers to AI systems that function as autonomous agents, capable of setting goals, making decisions, and taking actions to complete tasks with limited human input.
Unlike traditional AI that responds only to direct prompts, agentic AI incorporates loops of reasoning, planning, tool use, and self-correction to pursue objectives over multiple steps.
Core mechanisms include memory for retaining context, access to external tools or APIs, and iterative evaluation of progress toward the goal.
This design draws from concepts in reinforcement learning and cognitive architectures to enable more independent problem-solving.
Example
An agentic AI given the task 'plan my vacation' might search flights, compare hotel prices using web tools, check weather forecasts, and book reservations while asking clarifying questions only when needed.
Why it matters
Agentic AI moves systems from passive responders to active collaborators, powering more complex automation in research, software development, and personal assistance.
Frequently asked questions
Chatbots mainly generate text replies, while agentic AI can plan sequences of actions and use tools to affect the outside world.
Related terms
An autonomous agent is an AI system that perceives its environment, makes decisions, and takes actions on its own to achieve goals without constant human oversight.
A Multi-Agent System (MAS) is an AI setup where multiple autonomous software agents interact within a shared environment to solve problems or achieve goals. Agents can cooperate, compete, or negotiate independently rather than relying on one central controller.
Tool Use (aka Function Calling) lets AI agents call external tools, APIs, or functions by outputting structured requests instead of just text.
ReAct is an agent prompting technique that interleaves explicit reasoning steps with tool-using actions so an LLM can dynamically plan, act, and observe results in a loop.
Agent memory is the component in AI agents that stores and retrieves information from past interactions, enabling recall of context, facts, or experiences to inform future actions.
An AI Agent (or Agent) is a software system that perceives its environment, reasons about goals, and takes actions autonomously to complete tasks.