Claude Skill

MemTensor/MemOS

MemOS provides persistent Skill memory for LLM and Agent systems, enabling cross-task skill reuse and evolution. Manage memory for moltbot, clawdbot, and openclaw applications.

Language

Overview

Stars5,091

Forks468

LanguagePython

Last pushed2026-02-10

Last synced2026-02-11

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Repository

OwnerMemTensor

RepositoryMemOS

Full nameMemTensor/MemOS

Repo ID1,014,729,376

GitHub URLhttps://github.com/MemTensor/MemOS

Summary

MemOS is an AI memory operating system designed for LLM and Agent systems (moltbot, clawdbot, openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.

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

Persistent Skill memory for LLM/Agent systems
Cross-task skill reuse and evolution
Memory management and scheduling
Memory retrieval capabilities
Integration with moltbot, clawdbot, openclaw

Use cases

Long-term memory for AI agents
Skill management in Claude Skill systems
Retrieval-augmented generation (RAG) applications
Cross-session agent memory persistence
Evolutionary skill development in AI systems

Topics

agent agent-memory clawdbot llm llm-memory long-term-memory memory memory-agent memory-management memory-operating-system memory-retrieval memory-scheduling moltbot openclaw rag retrieval-augmented-generation skill-memory skills

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Owner: MemTensor Language: Python

Data from GitHub. Synced on 2026-02-11