MemOS

by MemTensor · MCP Server · ★ 9.3k

About MemOS

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

agentagentic-aiaiai-agentschatgptclaudehermesllmlong-term-memorymcp

Quick Facts

Stars9,326
Forks843
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score45.69/100
Open Issues172
Last Updated2026-05-22
Created2025-07-06
Platformsclaude-code, mcp, node
Est. Tokens~3812k

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%)

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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 9.3k 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 9.3k stars and 843 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.

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