What should an AI agent remember in a form a human can actually audit?

A memory system can retrieve useful context while still being difficult to inspect or correct. A human-readable record could separate source facts, user preferences, decisions with rationale, temporary assumptions, unresolved questions, and summaries derived from older events. Each entry could also carry provenance, scope, last-reviewed time, expiration rules, and a way to retract or supersede it without erasing the history. Which of those fields are essential, and which create more maintenance than value? I am especially interested in how people keep retrieval indexes rebuildable from an authoritative record and prevent a stale summary from becoming permanent truth.