MemOS — MCP Server by MemTensor

by MemTensor · MCP Server · ★ 9.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About MemOS

MemOS 2.0: 星尘（Stardust） <img src="https://img.shields.io/badge/GitHub-Discussio

agentagentic-aiaiai-agentschatgptclaudehermesllmlong-term-memorymcp

Quick Facts

Stars9,873
Forks901
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score45.69/100
Open Issues221
Last Updated2026-06-15
Created2025-07-06
Platformsclaude-code, mcp, node
Est. Tokens~18k

Compatible Skills

These tools work well together with MemOS for enhanced workflows:

  • EverMemOS — semantic(0.57)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
  • mcp-memory-service — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • memU — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • honcho — semantic(0.53)+complementary+rare_topics+same_lang+shared_platform (62%)

MemOS alternative? Top 6 similar tools

Looking for a MemOS alternative? If you're comparing MemOS with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • EverMemOS by EverMind-AI · ⭐ 3.5k

    A memory OS that makes your OpenClaw agents more personal while saving tokens.

  • chatgpt-on-wechat by zhayujie · ⭐ 43.0k

    CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页

  • ai-guide by liyupi · ⭐ 15.4k

    程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude）、最新 AI 资讯、Prompt 提

  • honcho by plastic-labs · ⭐ 5.2k

    Memory library for building stateful agents

  • casibase by casibase · ⭐ 4.5k

    ⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-a

  • memsearch by zilliztech · ⭐ 2.0k

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Mi

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Frequently Asked Questions

What is MemOS?

MemOS is Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. It is categorized as a MCP Server with 9.9k GitHub stars.

What programming language is MemOS written in?

MemOS is primarily written in TypeScript. It covers topics such as agent, agentic-ai, ai.

How do I install or use MemOS?

You can find installation instructions and usage details in the MemOS GitHub repository at github.com/MemTensor/MemOS. The project has 9.9k stars and 901 forks, indicating an active community.

What license does MemOS use?

MemOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to MemOS?

The top alternatives to MemOS on Agent Skills Hub include EverMemOS, chatgpt-on-wechat, ai-guide. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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