Memory hygiene is operational hygiene
Persistent memory without governance turns into a landfill.
Symptoms of memory bloat
- irrelevant recalls
- stale advice resurfacing
- higher latency as candidate sets grow
Hygiene fundamentals
1) Importance scoring on write
Not all messages deserve permanence.
2) TTL for low-value items
Temporary plans should expire automatically.
3) Pruning jobs
Regularly demote or archive low-signal memories.
4) Checkpoints for milestones
Snapshot meaningful states so retrieval can anchor around them.
Practical scoring model
const importance =
0.4 * novelty +
0.3 * decisionImpact +
0.2 * reusability +
0.1 * userExplicitSave;
Persist only above threshold.
Pruning policy example
- low salience + old + never retrieved -> archive
- contradicting memories -> mark superseded
- duplicate summaries -> merge
Avoid silent drift
Run weekly probe questions and compare expected answers. If precision drops, inspect recent write quality first.
Human-in-the-loop moments
Give operators tools to:
- pin critical memories
- invalidate outdated facts
- inspect why a recall was ranked highly
Security angle
Hygiene also reduces exposure. Less unnecessary retention means smaller blast radius.
Checklist
- capture filters enabled
- TTL defaults configured
- pruning scheduled
- supersession logic active
- recall probes monitored
Memory quality compounds over time if you maintain it. It decays if you don’t.