MemT-1.0 embeds continuous memory into foundation model computation
Read original source →arxiv.org
MemT-1.0 is a memory-native architecture that internalizes memory as part of model computation rather than bolting on retrieval, using token-level memory updates, Gated DeltaNet-2 and a Mixture-of-Storage design. The paper claims gains in long-context efficiency and agentic task performance; it drew 90 HF upvotes and 146 GitHub stars.
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