Agents: Inner Loop vs Outer Loop
3.24T1.5 sourcephilschmid.de (Phil Schmid)
Source record
Published by philschmid.de (Phil Schmid) (T1.5 source). The original is at https://www.philschmid.de/inner-loop-vs-outer-loop.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPhil Schmid distinguishes the inner loop—an agent verifying its own work within a single task via a hardcoded tool cycle—from the outer loop—an agent carrying lessons across tasks through persistent memory, skills, and rules files—arguing both are needed for agents that are reliable and improve over time.
Why it mattersA clean mental model separating within-task verification from cross-task learning, useful for anyone designing or evaluating agent systems.

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