MemOS
MemOS is a memory operating system designed for LLMs and AI agents, offering persistent memory, hybrid retrieval, and cross-task skill reusability.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 9.6k
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05
Overview
MemOS is a memory operating system specifically designed for large language models (LLMs) and AI agents, providing persistent memory, hybrid retrieval, and cross-task skill reusability. It addresses the inefficiency of long-term memory storage in traditional AI systems and improves performance by reducing memory token usage by 35.24%. Users can deploy MemOS plugins via cloud service or self-hosted deployment, making it suitable for developers looking to enhance their agent's memory capabilities.
Key features
- ▪Ultra-persistent memory
- ▪Hybrid retrieval technology
- ▪Cross-task skill reusability
- ▪Saves 35.24% tokens
Use cases
Pros
- ＋Improves accuracy by +43.70%
- ＋Top-tier long-term memory management
- ＋Supports both local and cloud deployment
Limitations / notes
- －May require some configuration
- －Steeper learning curve for beginners
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Which types of AI agents does MemOS support?
Supports mainstream AI agents such as Hermes Agent and OpenClaw.
How do I get started with MemOS?
Visit the official website to access documentation and choose between cloud service or self-hosted deployment.
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