MemTensor/MemOS
MemTensor★ 10,910TypeScript最后同步: 2026-08-21
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.
README 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 Me…
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