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Memory as Metabolism: A Design for Companion Knowledge Systems

ArXiv CS.AI
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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.

Part of the 15 April 2026 AI news digest

This summary was AI-generated. Neural Digest is not liable for the accuracy of source content. Read the original →
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