# MIT-MI/MEM1

<https://repo.masters-masters.com/en/repos/MIT-MI/MEM1>

[Home](https://repo.masters-masters.com/en) › [MIT-MI](https://repo.masters-masters.com/en/owners/MIT-MI) › [MEM1](https://repo.masters-masters.com/en/repos/MIT-MI/MEM1)

MIT-MI/MEM1 has 353 stars on GitHub. Its RepoMasters card: Alpha tier. MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents…

| Field | Value |
| --- | --- |
| Owner | [MIT-MI](https://repo.masters-masters.com/en/owners/MIT-MI) |
| Stars | 353 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MIT-MI/MEM1](https://github.com/MIT-MI/MEM1) |

## Repository

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents. Accepted at ICLR 2026; Best Paper Award at the NeurIPS 2025 MTI-LLM Workshop.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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