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Memory as Metabolism: A Design for Companion Knowledge Systems

ArXiv CS.AI15 Apr
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Researchers are moving past Retrieval-Augmented Generation toward personal wiki-style memory systems that compile knowledge into interlinked artifacts for individual users. This shift represents a fundamental redesign of how AI assistants maintain and utilize long-term context, bridging academic proposals with production systems already deployed by major labs.

Personal AI memory systems are evolving beyond simple retrieval into metabolic knowledge architectures.

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