MemOS
installs/mo · pypistarsforks
How to install MemOS?
memtensor/memos
$git clone https://github.com/MemTensor/MemOS---
README.md
| 1 | <div align="center"> |
| 2 | <h1 align="center"> |
| 3 | <a href="https://memos.openmem.net/"> |
| 4 | <img src="https://statics.memtensor.com.cn/logo/memos_color_m.png" alt="MemOS Logo" width="48"/> |
| 5 | </a> |
| 6 | MemOS 2.0 Stardust（星尘） |
| 7 | </h1> |
| 8 | |
| 9 | <p align="center"> |
| 10 | <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> |
| 11 | <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> |
| 12 | <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> |
| 13 | <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> |
| 14 | <br> |
| 15 | <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> |
| 16 | </p> |
| 17 | |
| 18 | <p align="center"> |
| 19 | <strong>Give your Agent persistent memory and the ability to grow.</strong><br/> |
| 20 | </p> |
| 21 | |
| 22 | <p align="center"> |
| 23 | <strong>English</strong> | <a href="README_ZH.md">中文</a> |
| 24 | </p> |
| 25 | </div> |
| 26 | |
| 27 | |
| 28 | <div align="center"> |
| 29 | <img width="1660" height="664" alt="MemOS Plugin Banner" src="https://github.com/user-attachments/assets/9d15dde2-196e-4f71-a364-dd5a33062117" /> |
| 30 | </div> |
| 31 | |
| 32 | --- |
| 33 | |
| 34 | ## 👾 MemOS: Memory Operating System for LLM & AI Agents |
| 35 | |
| 36 | **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. |
| 37 | |
| 38 | ### Key Features |
| 39 | |
| 40 | - **Unified Memory API**: A single API to add, retrieve, edit, and delete memory—structured as a graph, inspectable and editable by design, not a black-box embedding store. |
| 41 | - **Multi-Modal Memory**: Natively supports text, images, tool traces, and personas, retrieved and reasoned together in one memory system. |
| 42 | - **Multi-Cube Knowledge Base Management**: Manage multiple knowledge bases as composable memory cubes, enabling isolation, controlled sharing, and dynamic composition across users, projects, and agents. |
| 43 | - **Asynchronous Ingestion via MemScheduler**: Run memory operations asynchronously with millisecond-level latency for production stability under high concurrency. |
| 44 | - **Memory Feedback & Correction**: Refine memory with natural-language feedback—correcting, supplementing, or replacing existing memories over time. |
| 45 | |
| 46 | |
| 47 | ### News |
| 48 | |
| 49 | - **2026-07-02** · 🏆 **MemOS Advances Agent and User Memory Benchmarks** |
| 50 | With MemOS, **OpenClaw** improves average task completion from **36.63% to 50.87%** across five agent tasks. MemOS also achieves **88.83 on LoCoMo** and **89.20 on LongMemEval**, and leads in **OmniMemEval**, a unified evaluation of 14 commercial memory products across ten datasets. |
| 51 | |
| 52 | - **2026-05-09** · 🧠 **memos-local-plugin 2.0** |
| 53 | Official local memory plugin for **Hermes Agent** and **OpenClaw**. One core powers self-evolving memory across L1 traces, L2 policies, L3 world models, and crystallized Skills, with local-first storage and feedback-driven retrieval. |
| 54 | |
| 55 | - **2026-04-10** · 👧🏻 **MemOS Hermes Agent Local Plugin** |
| 56 | Official Hermes Agent memory plugins launched: Hybrid retrieval (FTS5 + vector), smart dedup, tiered skill evolution, multi-agent collaboration. 100% local, zero cloud dependency. |
| 57 | |
| 58 | - **2026-03-08** · 🦞 **MemOS OpenClaw Plugin — Cloud & Local** |
| 59 | Official OpenClaw |
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