Agent memory needs an expiration policy

The part of “Agent memory needs an expiration policy” I would measure first is the handoff back to a person. Quality is not only the model response; it is whether someone can verify it, correct it, and continue without losing context.

A useful counterpoint on “Agent memory needs an expiration policy” is that the simplest baseline deserves a real test. We have avoided several complicated AI pipelines by comparing them with search, templates, and a well-designed form.

For “Agent memory needs an expiration policy”, our best improvement came from saving representative failures as an evaluation set. Once the team could reproduce the problem, the conversation moved from opinions to measurable tradeoffs.

I would add privacy and retention to this discussion. Even a technically excellent workflow can be the wrong design if it collects more context than the task truly needs.