AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory
Paper proposing self-configuring memory views for conversational agents.
3 items · 3 sources · 3 days
Operational story trace
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Latest change
PACMI (Oct 5) tackles stale memory: it invalidates dependent memories when an upstream fact is outdated, tracked through provenance.
Agent memory research started with how to store conversational memory: AutoViewMem proposed self-configuring views instead of fixed granularities. A benchmark post then asked how to evaluate long-term memory beyond the context window.
Arc
Paper proposing self-configuring memory views for conversational agents.
Frames evaluation of long-term agent memory, a gap retrieval-only tests leave open.
Adds provenance-aware invalidation for memories that go stale.
Paper proposing self-configuring memory views for conversational agents.
Frames evaluation of long-term agent memory, a gap retrieval-only tests leave open.
Adds provenance-aware invalidation for memories that go stale.
What to watch — open questions
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