What does Agentic Loop mean? Definition | AI Understanding

Definition

An iterative cycle where an AI agent observes, plans, acts, and reflects until it completes a goal or hits a stop condition.

Related terms

Agentic Workflow

A multi-step process where an AI system plans, executes, checks results, and iterates toward a goal.

A software system that can observe, reason, and take actions to achieve a goal, often using tools and memory.

Human-in-the-Loop

A workflow where humans review, guide, or override AI outputs.

Reinforcement Learning

Training by reward signals where an agent learns actions that maximize long-term return.

Chain-of-Thought

A reasoning style where an AI model decomposes a problem into intermediate steps.

A task where a model assigns an input to one or more predefined categories.

Learn more in our free guides

Self-Reflection in Agent Loops Agentic Tool Orchestration Agentic RAG Human-in-the-Loop Agents

See also

MCP (Model Context Protocol)ReAct KV Cache Tree of Thoughts Speculative Decoding DPO (Direct Preference Optimization)Zero Data Retention QLoRA

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