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.
⭐ 12,203 stars on GitHub · 🍴 1,100 forks · 📜 License: apache-2.0 · 💻 Language: TypeScript
What is MemOS?
A self-hosted notes & knowledge management tool. Your data lives on your server — no vendor lock-in, no risk of provider shutdown.
Main components
- 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.
- Multi-Modal Memory: Natively supports text, images, tool traces, and personas, retrieved and reasoned together in one memory system.
- 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.
- Asynchronous Ingestion via MemScheduler: Run memory operations asynchronously with millisecond-level latency for production stability under high concurrency.
- Memory Feedback & Correction: Refine memory with natural-language feedback—correcting, supplementing, or replacing existing memories over time.
The biggest strength is no vendor lock-in — markdown/JSON data, easy to migrate between tools.
Best for researchers, devs, product people — anyone wanting a portable second brain across devices.
Topics: the project is tagged with popular topics:
- 🏷️
agent - 🏷️
agentic-ai - 🏷️
ai - 🏷️
ai-agents - 🏷️
chatgpt - 🏷️
claude - 🏷️
deepseek-harness - 🏷️
dsh-plugin - 🏷️
hermes - 🏷️
llm
📸 Screenshots


Quick install
See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:
git clone https://github.com/MemTensor/MemOS.git
cd MemOS
docker build -t MemOS .
docker run -d -p 8080:8080 MemOS
Minimum system requirements
| Component | Recommended |
|---|---|
| RAM | 4096 MB |
| CPU | 2 vCPU |
| Disk | 50 GB SSD |
| OS | Ubuntu 22.04 LTS / Debian 12 |
| Docker | 24.0+ |
⚡ Deploy fast on VSIS
Use the VSIS VPS Standard 4GB RAM / 2 vCPU / 50GB SSD (~150k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running MemOS smoothly.
🎯 Benefits:
- One-command
docker compose up -ddeploy in 2 minutes - Dedicated IPv4, root access, unmetered domestic bandwidth
- Daily snapshot backup
- Free install assistance from the VSIS team
👉 See matching VPS plans at vsis.net
Resources
- 🔗 GitHub: MemTensor/MemOS
- 🌐 Homepage: https://memos.openmem.net
- 📚 Official docs: see README in the repo
- 💬 Community: GitHub Issues + Discussions
Article compiled from GitHub data on 31/10/2026. Star/fork counts may have changed — see live numbers via the GitHub link.
