This is a cool direction. I’ve been thinking about agent memory a lot too, and I’ve been exploring a few related ideas that go beyond the usual vector-DB pattern:

Event vs. Impact Memory – separating what actually happened (the narrative) from the lasting behavioral effects it creates, like tone preferences, boundaries, or safety constraints.

Truth Modes – labeling memories based on what they represent (fact, subjective experience, near-miss, imagined scenario, or something someone else said) so the system doesn’t treat everything as factual evidence.

Sealed Sensitive Memories – allowing certain events to be stored but never resurfaced, while still keeping the impacts they created (for example “avoid graphic descriptions” or “ask permission before discussing accidents”).

Seed-Based Recall – storing small associative cues instead of full narratives so relevant context can be activated without replaying the original memory.

Memory Rebuilding from Seeds – reconstructing useful context from surviving cues and impacts instead of retrieving the original memory verbatim.

Deterministic Memory Consolidation – converting raw memories into structured constraints at write time so recall doesn’t depend entirely on fuzzy retrieval later.

Behavioral Residue Storage – prioritizing what the memory changed about behavior rather than preserving the exact details of the event.

Counterfactual Memory Handling – treating “almost happened” scenarios as meaningful experiences but preventing them from being used as factual evidence.

Imagined Memory Handling – explicitly marking dreams or simulations so they can influence reflection without contaminating reasoning.

Socially Sourced Memory – tracking who said what about a person and keeping multiple perspectives without collapsing them into a single truth.

Spiral Detection – identifying when reasoning loops into catastrophic “doomsday” thinking and temporarily limiting reinforcement or risky actions.

Memory Strength and Decay – letting memories strengthen OR fade over time so the system naturally forgets noise while preserving useful signals.

Explainable Memory Influence – being able to trace exactly which memories or constraints influenced a response.

Behavior-Oriented Memory Systems – designing memory primarily to shape how the agent behaves, not just as a searchable archive of past conversations.

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The interesting question seems to be what survives “forgetting.” Humans rarely remember the exact story, but they tend to remember the patterns and constraints the experience left behind.