05 · Getting Models to Act
Agent Memory
How an agent remembers across steps
External state a product saves and later puts back into model context: summaries, project files, profiles, database records, or retrieved notes. This is a harness feature, not permanent memory inside the base model.
Concrete example
A research agent writes findings to memory as it goes, then pulls them back when assembling the final report — instead of re-reading every source.
Why it matters
A practical bottleneck for agents that run long, or that need to remember you between sessions.