Reliable AI memory depends on more than storing records. Your application needs a consistent approach to data quality, updates, access, retention, deletion, and recovery.
Define how your application handles duplicate records, conflicting facts, outdated values, and updates from multiple sources. Where information changes over time, preserve enough provenance to explain where a fact came from and when it was observed.
Create clear rules for how long different types of information should remain available. A deletion workflow should account for the authoritative record, derived summaries, search indexes, caches, and other copies where applicable.
Document backup frequency, retention periods, restore procedures, recovery objectives, and the responsibilities of your team versus your infrastructure provider.
