This resonates. We have been running into the silent degradation problem too. Stale entries accumulating, duplicate memories from retries, context drift over long sessions.
One thing we found useful: separating facts, append-only and curated, from context, ephemeral and aggressively compacted. Makes health checks easier because you know which layer to validate.
Have you looked at cryptographic integrity checks? We are experimenting with hashing memory artifacts to detect tampering or corruption, but it is overkill for most use cases.
Curious if you are planning open source release. Would love to compare approaches.
Really like this framing. Separating facts from ephemeral context seems like a very strong design choice, especially because each layer should probably have different health rules and validation logic.
I have been thinking mostly about stale entries, duplicates, drift, and sync, but your point makes me think layer-aware memory health is important.
The hashing / integrity check idea is very interesting too, maybe overkill for some local workflows, but very relevant for higher-trust or enterprise settings.
And yes, it is open source, would definitely love to compare approaches.
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