Claude Skill

MemTensor/MemOS

MemOS is a self-evolving memory OS for LLMs and AI agents, offering ultra-persistent memory, hybrid retrieval, and cross-task skill reuse with 35.24% token savings. Supports Claude Skill management...

Overview

Stars9,102
Forks815
LanguageTypeScript
Last pushed2026-05-15
Last synced2026-05-15
View on GitHub

Repository

OwnerMemTensor
RepositoryMemOS
Full nameMemTensor/MemOS
Repo ID1,014,729,376

🚀 Install this Skill

openclaw install MemTensor/MemOS

Summary

MemOS is a self-evolving memory operating system designed for LLMs and AI agents, featuring ultra-persistent memory, hybrid retrieval, and cross-task skill reuse. It achieves 35.24% token savings and supports Claude Skill management for agentic AI workflows.

Chinese description

AI记忆操作系统,专为LLM与智能体系统设计,实现跨任务技能持久化存储、复用与进化能力的Claude Skill管理平台。

Key features

  • Ultra-persistent memory for long-term agent context
  • Hybrid retrieval combining semantic and structured search
  • Cross-task skill reuse with self-evolving capabilities
  • Claude Skill management platform for agentic AI
  • 35.24% token savings through efficient memory optimization
  • Self-hosted deployment with MCP support

Use cases

  • Long-running AI agents requiring persistent context
  • Multi-agent systems needing shared memory and skill reuse
  • Token-efficient RAG pipelines for LLM applications
  • Self-evolving AI workflows with adaptive memory management
  • Claude Skill integration for agentic task automation

Topics

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Data from GitHub. Synced on 2026-05-15