MemOS MCP Server
MemTensor/MemOS
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.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
MemTensor/MemOS is a TypeScript tool licensed under Apache-2.0. 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. Topics: agent, llm, memory, long-term-memory, memory-management, rag, skills, openclaw, agentic-ai, ai, ai-agents, chatgpt, claude, hermes, self-evolving, token-savings, mcp, deepseek-harness, dsh-plugin.
Ranked #85 out of 24840 indexed tools.
In the top 1% of all indexed tools.
Has 11,573 GitHub stars.
Has 104 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
11,573 stars → extremely popular
Last commit 2d ago → actively maintained
474/564 issues closed → responsive maintainer
104 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Badge all embed codes →
[](https://agentrank-ai.com/tool/MemTensor--MemOS/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/MemTensor--MemOS/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/MemTensor--MemOS" alt="AgentRank"></a> Matched Queries
From the README
<div align="center">
<h1 align="center">
<a href="https://memos.openmem.net/">
</a>
MemOS 2.0 Stardust（星尘）
</h1>
<p align="center">
<a href="https://memos-docs.openmem.net/home/overview/"></a>
<a href="https://arxiv.org/abs/2507.03724"></a>
<a href="https://x.com/MemOS_dev"></a>
<a href="https://discord.gg/Txbx3gebZR"></a>
<br>
<a href="https://github.com/IAAR-Shanghai/Awesome-AI-Memory"></a>
</p>
<p align="center">
<strong>Give your Agent persistent memory and the ability to grow.</strong><br/>
</p>
<p align="center">
<strong>English</strong> | <a href="README_ZH.md">中文</a>
</p>
</div>
<div align="center">
</div>
> [!TIP]
> **New: Connect MemOS to DeepSeek Harness (`dsh`)**
>
> Add automatic recall, background capture, hybrid retrieval, and a local Memory Viewer to DeepSeek Harness—powered by the same MemOS core used across agent ecosystems.
>
> **[Get started →](#memos-plugin)**
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## 👾 MemOS: M Read full README on GitHub → Get the weekly AgentRank digest
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