aiagent.club
中文
GitHub

MemOS

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
51
AttentionCurrent · 2026-09-12
35
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

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…

Across sources

11.3k Stars
  • Stars 11.3k
  • Forks 1.0k
  • Commits 2.2k
  • Releases 57