Layer 05 of 06
Memory
What has the AI learned?
Persistent institutional knowledge that accumulates across sessions: past decisions, corrections, and exceptions.
Why this layer matters
A session without memory treats every conversation as the first. That is fine for a search query. It is unacceptable for an AI that is supposed to represent your business.
Memory is how "we corrected this last Tuesday" becomes durable. Without it, the same mistake is available to be made every day.
What good looks like
- A clear store for decisions, corrections, and exceptions
- Scope rules: what is project memory, what is user memory, what is global
- Review processes so stale memory gets pruned, not just accumulated
- Memory that informs future AI behavior without being surfaced raw to clients
- Audit trail for how memory changed over time
What a gap looks like
How it connects
Memory is the record of how the system has been corrected. It refines domain knowledge over time and makes workflows sharper with each run. Observability captures what happened; memory captures what we learned.