MemOS

by MemTensor · MCP 服务器 · ★ 11.9k

About MemOS

MemOS 2.0: 星尘（Stardust） 🎯 +43.70% Accuracy vs. OpenAI Memory 🏆 Top-tier long-term memory + personalization 💰 Saves 35.24% memory tokens LoCoMo 75.80 • LongMemEval +40.43% • PrefEval-10 +2568% • PersonaMem +40.75% -- -- 🦞 Enhanced OpenClaw with MemOS Plugin 🦞 Your lobster now has a working memory system — choose Cloud or Local to get started.

agentagentic-aiaiai-agentschatgptclaudedeepseek-harnessdsh-pluginhermesllm

Quick Facts

Stars11,938
Forks1,246
LanguageTypeScript
CategoryMCP 服务器
LicenseApache-2.0
Quality Score61.5370661120895/100
Open Issues145
Last Updated2026-10-17
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%)

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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 and DeepSeek Harness support.. It is categorized as a MCP 服务器 with 11.9k 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 11.9k stars and 1246 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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