does anyone else's agent confidently "remember" stuff that's already changed?

Reddit r/AI_Agents News

Summary

A user describes an issue where AI agents confidently retrieve outdated facts from memory layers without flagging changes, and asks the community for solutions to invalidate old memories or track fact freshness.

been running into this and curious if it's just me. my agent remembers facts about users/data across sessions (using a memory layer), which is great until something changes. like it'll confidently tell someone info that was true last month but isn't anymore, and there's no error, no flag, nothing. it just sounds sure and is wrong. the annoying part is the old fact and the new fact both sit in memory and the old one gets retrieved just as easily. decay helps for stuff nobody cares about but for high-value facts that actually changed, it doesn't really solve it. how do you all handle this? do you manually invalidate old memories? rebuild from scratch? just live with it? or is there a tool that actually tracks when a fact stops being true? genuinely asking, not selling anything. feels like one of those things everyone hits but nobody talks about.
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