MemOS

项目详情摘要

  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 →** 👾 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 modif