Persistent memory is a mechanism that lets language-model agents improve their prompts and skills without updating model weights. A new arXiv preprint, "Scope Before You Persist: Preventing Cross-Family Interference in Agent Memory," investigates how to make such memory edits reliable.
The authors argue that the scope used for retrieving memory should match the scope used for certifying edits. When these scopes are aligned, edits support reliable repeated adaptation. The title points to the problem of cross-family interference, suggesting that mismatched scopes can cause edits to interfere with each other.
The abstract is brief and does not include experimental details or results. As a preprint, the work has not yet undergone peer review.