RoMem: Fixing AI Agents' Quietly Outdated Memories

Tencent AI ·

Key Info

RoMem is a drop-in reranker designed to fix agents' quietly outdated memories: instead of deleting stale facts, it rotates them out of alignment at query time so agents rely on current information.

Highlights

  • Plug-and-play: integrates as a reranker in roughly three lines of code.
  • Spin, don't delete: outdated facts are shadowed, not erased, and rotate out at query time.
  • Adaptive freshness: a pretrained gate estimates how fast each relation changes (e.g., born_in changes slowly, works_at quickly), and generalizes zero-shot to unseen relations.
  • Time as rotation: time is modeled as a continuous rotation rather than a discrete label.
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