AnalysisAI ModelsOctober 20, 2026

MemT-1.0 paper proposes memory-native foundation model architecture

Read original source →arxiv.org

MemT-1.0 embeds continuous memory directly into foundation model computation via token-level memory updates and a Mixture-of-Storage design, targeting long-context efficiency and agentic task performance. The arXiv paper lists 74 authors and has drawn 90 HF upvotes and 146 GitHub stars.

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