MemTensor/MemOS
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Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
About
Give your Agent persistent memory and the ability to grow.
MemOS is a Memory Operating System for LLMs and AI agents that unifies store / retrieve / manage for long-term memory, enabling context-aware and personalized interactions with KB, multi-modal, tool memory, and enterprise-grade optimizations built in.
With MemOS, OpenClaw improves average task completion from 36.63% to 50.87% across five agent tasks. MemOS also achieves 88.83 on LoCoMo and 89.20 on LongMemEval, and leads in OmniMemEval, a unified evaluation of 14 commercial memory products across ten datasets.
Official local memory plugin for Hermes Agent and OpenClaw. One core powers self-evolving memory across L1 traces, L2…
Excerpted from github.com/MemTensor/MemOS
Latest metrics
| Stars | 11.3k | 2026-09-12 |
|---|---|---|
| Forks | 1.0k | 2026-09-12 |
| Commits | 2.2k | 2026-09-12 |
| Releases | 57 | 2026-09-12 |
| Watchers | 51 | 2026-09-12 |
| Open issues | 36 | 2026-09-12 |
| Open PRs | 33 | 2026-09-12 |