# Programmatic Memory

The authors introduce a measurement protocol that traces, from the scripts and notes a coding agent writes alone, how knowledge is kept, rewritten or discarded at ARC-AGI-3 level boundaries; across seven runs with three backbones from two model families, scripts are almost never called again in a later task (33 of 630 references cross a boundary), 74% of pre-boundary scripts are abandoned, notes only grow, and the costliest error is a hard-coded value carried into a new task, whose one working repair is to turn the constant into a parameter supplied afresh per task.

The authors introduce a measurement protocol that traces, from the scripts and notes a coding agent writes alone, how knowledge is kept, rewritten or discarded at ARC-AGI-3 level boundaries; across seven runs with three backbones from two model families, scripts are almost never called again in a later task (33 of 630 references cross a boundary), 74% of pre-boundary scripts are abandoned, notes only grow, and the costliest error is a hard-coded value carried into a new task, whose one working repair is to turn the constant into a parameter supplied afresh per task.