---
title: "MemOS"
type: "tool"
slug: "memtensor-memos"
canonical_url: "https://www.graphcanon.com/tools/memtensor-memos"
github_url: "https://github.com/MemTensor/MemOS"
homepage_url: "https://memos.openmem.net"
stars: 10126
forks: 920
primary_language: "TypeScript"
license: "Apache-2.0"
categories: ["ai-agents"]
tags: ["self-evolving", "llm", "token-savings", "python", "memory-management", "agentic-ai", "long-term-memory", "agent"]
updated_at: "2026-07-07T19:45:02.814171+00:00"
---

# MemOS

> MemOS: Self-evolving memory OS for LLM & AI Agents

MemOS is a system designed to provide ultra-persistent memory, hybrid retrieval capabilities, and cross-task skill reuse for language models (LLM) and ai agents, with a claimed 35.24% token savings.

## Facts

- Repository: https://github.com/MemTensor/MemOS
- Homepage: https://memos.openmem.net
- Stars: 10,126 · Forks: 920 · Open issues: 180 · Watchers: 44
- Primary language: TypeScript
- License: Apache-2.0
- Last pushed: 2026-07-07T09:29:47+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

self-evolving, llm, token-savings, python, memory-management, agentic-ai, long-term-memory, agent

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## README (excerpt)

```text
<div align="center">
  <a href="https://memos.openmem.net/">
    <img src="https://statics.memtensor.com.cn/memos/memos-banner.gif" alt="MemOS Banner">
  </a>

  <h1 align="center">
    <img src="https://statics.memtensor.com.cn/logo/memos_color_m.png" alt="MemOS Logo" width="48"/>&nbsp;
    MemOS 2.0&ensp;Stardust（星尘）

  </h1>

<p align="center">
  <br>
  <a href="https://memos-docs.openmem.net/home/overview/"><img src="https://img.shields.io/badge/Docs-Get--Start-002FA7?labelColor=gray&style=for-the-badge&logo=googledocs&logoColor=white" alt="Docs"></a>
  <a href="https://arxiv.org/abs/2507.03724"><img src="https://img.shields.io/badge/ArXiv-2507.03724-B31B1B?labelColor=gray&style=for-the-badge&logo=arxiv&logoColor=white" alt="ArXiv"></a>
  <a href="https://x.com/MemOS_dev"><img src="https://img.shields.io/badge/Follow-MemOS-000000?labelColor=gray&style=for-the-badge&logo=x&logoColor=white" alt="X"></a>
  <a href="https://discord.gg/Txbx3gebZR"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Fv10%2Finvites%2FTxbx3gebZR%3Fwith_counts%3Dtrue&query=%24.approximate_presence_count&suffix=%20online&label=Discord&color=404EED&labelColor=gray&style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
  <a href="https://github.com/IAAR-Shanghai/Awesome-AI-Memory"><img src="https://img.shields.io/badge/Resources-Awesome--AI--Memory-8A2BE2?labelColor=gray&style=for-the-badge&logo=awesomelists&logoColor=white" alt="Resources"></a>
</p>

<p align="center">
  <strong>🏆 Leading Performance Across Agent and User Memory Benchmarks</strong><br/>
  <strong>🤖 OpenClaw Task Completion Improves from 36.63% to 50.87%</strong><br/>
  <strong>🎯 92.34 on LoCoMo and 93.40 on LongMemEval</strong><br/>
  <strong>📊 Unified Evaluation Across 14 Commercial Memory Products</strong>
  

</p>

</div>







## 🧠 MemOS Plugin: Persistent Memory for Your AI Agents ✨

<div align="center">
  
<img width="1660" height="664" alt="MemOS Plugin Banner" src="https://github.com/user-attachments/assets/9d15dde2-196e-4f71-a364-dd5a33062117" />

Your lobsters and Hermes Agents now have **the best** memory system — choose ***Cloud Service*** or ***Self-hosted*** to get started 🏃🏻

| 🔌 Plugin | <div align="center"> 💡 Core Features </div> | 🧩 Resources |
| :----: | :--- | :---: |
| 🧠 [**memos-local-plugin 2.0**](https://github.com/hijzy/MemOS/tree/main/apps/memos-local-plugin) | <ul><li>One local-first memory core for **Hermes Agent** and **OpenClaw**.</li><li>Self-evolving memory: L1 trace, L2 policy, L3 world model,<br>and crystallized Skills driven by feedback.</li></ul> | 🌐 [Website](https://memos-claw.openmem.net/) · 📖 [Docs](https://memos-docs.openmem.net/cn/openclaw/local_plugin) · 🐙 [GitHub](https://github.com/hijzy/MemOS/tree/main/apps/memos-local-plugin) · 📦 [NPM](https://www.npmjs.com/package/@memtensor/memos-local-plugin) |
| ☁️ [**OpenClaw Cloud Plugin**](https://x.com/MemOS_dev/status/2019254160919769171?s=20) | <ul><li>[Reduces token usage by 72%.](https://x.com/MemOS_dev/status/2020854044583924111)</li><li>[Multi-agent memory sharing by `user_id`.](https://x.com/MemOS_dev/status/2020538135487062094)</li></ul> | 🖥️ [MemOS Dashboard](https://memos-dashboard.openmem.net/login/) · 📖 [Full Tutorial](https://memos-docs.openmem.net/openclaw/guide#_4-update-plugin) |

> **🐳 Docker Deployment Note**: When running memos-local-plugin in Docker containers, you must specify the config location using `MEMOS_HOME` environment variable or `--home` CLI flag. See [Docker Configuration Guide](./apps/memos-local-plugin/README.md#docker-deployment) for details.

</div>
<br>

## 👾 MemOS: Memory Operating System for LLM & AI Agents

**MemOS** is a Memory Operating System for LLMs and AI agents that unifies **store / retrieve / manage** for long-term memory, enabling **context-aware and personalized** interactions with **KB**, **multi-modal**, **tool memory**, and **enterprise-grade** optimizations built in.


###
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/memtensor-memos`](/api/graphcanon/tools/memtensor-memos)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_