MemTensor/MemOS

项目介绍

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…

摘自 github.com/MemTensor/MemOS