The Swarm Loop Explained | Agentic Swarm

The Swarm Loop turns a goal into coordinated action and feeds the results back into memory. Learn how planning, execution, delivery, and learning close the loop.

A swarm is not a pile of agents working in parallel. It is a loop. Work enters as a goal, gets decomposed and routed, gets executed, gets delivered, and the outcome flows back so the next loop starts smarter.

Understanding the loop is the key to understanding why coordination, not raw model power, is what creates intelligence.

Plan and route

Every loop begins by turning a goal into a plan, then routing each step to the agent best suited to it. This is where coordination starts, and coordination is what separates a system from a collection of tools.

Execute and deliver

Execution agents do the real work with tools and functions, producing outputs. Delivery then packages those outputs into something usable and hands them off to a person or another system. A system is only as good as what it hands off.

Close the loop

The final step is the one most systems skip. Outcomes and feedback flow back into memory, so the next loop begins with more context than the last. That feedback is what turns one off execution into a system that compounds.