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The article argues that vector databases alone act as data graveyards without true memory capabilities, and describes building a local AI memory layer with contradiction detection and forgetting cycles on top of Actian VectorAI DB.
A tweet highlights a CS survey paper arguing that bigger context windows are a dead end, and that memory engineering — treating agent memory as an operating system — is what separates real AI agents from autocomplete, enabling stateless models to self-evolve.