memory-hygiene

Auditing vector memory involves scanning the LanceDB index to identify junk memories and auto-capture noise. This process detects bloated entries that drain resources, enabling you to selectively clean the storage and optimize token usage.

Memory bloat occurs when auto-capture stores unnecessary data, slowing responses. You fix it by wiping the LanceDB index and reseeding with only essential facts, enforcing strict storage guidelines to prevent future token waste.

The best way to wipe and reseed memory is using a deterministic workflow that clears the LanceDB index, then injects key facts and decisions. This restores accurate, lean memory while removing accumulated junk and noise.

Yes, you can automate periodic memory maintenance using a monthly cron. This scheduled automation executes the wipe and reseed workflows, ensuring the vector memory index remains lean without manual intervention.

Yes, configuring autoCapture guidelines is required to keep memory lean. Enforcing strict rules on what to store prevents auto-capture noise from filling the memory index, directly reducing token waste and maintaining response speed.

You should completely wipe the memory storage index when it is heavily bloated with junk and auditing alone cannot recover optimal performance. Wiping resets the index, allowing you to reseed with essential facts for a clean state.