MemTensor/MemOS

Project overview

memtensor/memos provides a memory operating system for LLMs and AI agents that unifies storage, retrieval, and management for long-term memory. It offers self-hosted deployment requiring configuration of external databases and API keys.

Project type

AI Agent · RAG

Use cases

Automation

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Developers and AI engineers building applications requiring persistent long-term memory, context-awareness, and personalization across tasks.

Key capabilities

• A single API to add, retrieve, edit, and delete memory structured as an inspectable graph.
• Natively supports text, images, tool traces, and personas retrieved and reasoned together.
• Manage multiple knowledge bases as composable memory cubes for isolation and controlled sharing.
• Refine memory with natural-language feedback—correcting, supplementing, or replacing memories.
• Powers self-evolving memory across L1 traces, L2 policies, L3 world models, and crystallized Skills locally.

Limitations and risks

• Self-hosted REST service requires setting up and configuring Neo4j and Qdrant.
• Self-hosting requires an external LLM provider and embedder configured via API keys.

Getting started

• Setup difficulty is medium. Clone the repository, fill in API keys in the .env file, run docker compose up, and open http://localhost:8000.

Evidence and sources

• GitHub project description: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
• README: **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** interact…
• README: - **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. - **Mu…
• README: MemOS leads across multiple benchmarks — evaluated against mainstream commercial memory products across 5 user memory and 5 agent memory tasks.
• README: | | Cloud API | Self-Host | OpenClaw Cloud Plugin | Local Plugin | | ------------ | ----------------------- | ------------------ | ------------------------ | ---------------------…

Reviewed at: 2026-07-18T03:32:12Z