# EverMind-AI/MSA

<https://repo.masters-masters.com/en/repos/EverMind-AI/MSA>

[Home](https://repo.masters-masters.com/en) › [EverMind-AI](https://repo.masters-masters.com/en/owners/EverMind-AI) › [MSA](https://repo.masters-masters.com/en/repos/EverMind-AI/MSA)

EverMind-AI/MSA has 3,518 stars on GitHub. Its RepoMasters card: RC tier. Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework…

| Field | Value |
| --- | --- |
| Owner | [EverMind-AI](https://repo.masters-masters.com/en/owners/EverMind-AI) |
| Stars | 3,518 |
| Forks | 227 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [EverMind-AI/MSA](https://github.com/EverMind-AI/MSA) |

## Repository

Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework for 100M-token contexts.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.