# OpenBMB/SimpleMemVLA

<https://repo.masters-masters.com/en/repos/OpenBMB/SimpleMemVLA>

[Home](https://repo.masters-masters.com/en) › [OpenBMB](https://repo.masters-masters.com/en/owners/OpenBMB) › [SimpleMemVLA](https://repo.masters-masters.com/en/repos/OpenBMB/SimpleMemVLA)

OpenBMB/SimpleMemVLA has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Native-video memory for vision-language-action models, using timestamped…

| Field | Value |
| --- | --- |
| Owner | [OpenBMB](https://repo.masters-masters.com/en/owners/OpenBMB) |
| Stars | 104 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | embodied-ai, multimodal-learning, robot-learning, robot-manipulation, streaming-inference, video-understanding, vision-language-action, visual-memory, vla, long-horizon-robotics |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [OpenBMB/SimpleMemVLA](https://github.com/OpenBMB/SimpleMemVLA) |

## Repository

Native-video memory for vision-language-action models, using timestamped visual history and exact streaming inference for long-horizon robot manipulation.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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