All terms
Patterns
Agentic Loop
The repeating cycle in which an agent reasons, acts, observes, and continues.
Definition
An agentic loop is the core execution pattern of an AI agent. On each iteration the model takes in the current context — goal, history, and recent tool results — produces reasoning and a chosen action, executes that action, and observes the output, repeating until a stopping condition is met. Loop design matters: a poorly bounded loop can spin indefinitely, accumulate context, or fail silently.