MemTensor / MemOS

MemOS 2.0 Stardust（星尘）
 Give your Agent persistent memory and the ability to grow. 
 English | 中文 
> [!TIP]
> **New: Connect MemOS to DeepSeek Harness (`dsh`)**
>
> Add automatic recall, background capture, hybrid retrieval, and a local Memory Viewer to DeepSeek Harness—powered by the same MemOS core used across agent ecosystems.
>
> **Get started →**
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## 👾 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.
### Key Features
- **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.
### News
- **2026-08-17** · 🐋 **MemOS Connects with DeepSeek Harness**
 MemOS now brings persistent memory to **DeepSeek Harness** through both local and cloud plugins. DSH can automatically recall relevant context before a task and retain new experience after a successful turn, without modifying its core.
- **2026-07-02** · 🏆 **MemOS Advances Agent and User Memory Benchmarks**
 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.
- **2026-05-09** · 🧠 **memos-local-plugin 2.0**
 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.
- **2026-04-10** · 👧🏻 **MemOS Hermes Agent Local Plugin**
 Official Hermes Agent memory plugins launched: Hybrid retrieval (FTS5 + vector), smart dedup, tiered skill evolution, multi-agent collaboration. 100% local, zero cloud dependency.
- **2026-03-08** · 🦞 **MemOS OpenClaw Plugin — Cloud & Local**
 Official OpenClaw memory plugins launched. **Cloud Plugin**: hosted memory service with 72% lower token usage and multi-agent memory sharing (MemOS-Cloud-OpenClaw-Plugin). **Local Plugin** (`v1.0.0`): 100% o