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MemTensor/MemT-1.0

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    Very new: it was created 2 days ago. Wait a little before installing it.

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  • Active OK

    Last change today.

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    No licence: legally you can't reuse the code, unless the README says otherwise.

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What it is

A research model family, MemT-1.0, that adds trainable native memory blocks alongside transformer attention so models retain historical information across turns without re-reading the original context. Released as Nano and Flash variants with SGLang serving and a Python client.

Who it's for

ML researchers and developers serving long-context or memory-augmented LLMs with SGLang on NVIDIA GPUs

How to use it

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Help me install and set up MemTensor/MemT-1.0 in my project. Follow its README: https://github.com/MemTensor/MemT-1.0. Explain each step and check it is safe before running anything.

Read the README

Star curve

189From 0 to 189 stars between 19 Oct 2026 and 20 Oct 2026.

On the radar

20 Oct 2026: #95
Best place #95, on 20 Oct 2026. In the top 100 on 1 of the last 3 days.

Its place among the radar's top 100, day by day, with #1 at the top. Gaps are days it was out of the top 100.

Records

  • Best place on RepoAlerts: #95, on 20 Oct 2026

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