MemOS
DeepSeek Harness 本地记忆插件：分层 L1/L2/L3 记忆，自动沉淀与手动 memos_* 检索工具并存，内置记忆浏览器。
- 形态
- Skill 技能
- 安装
- 克隆到 skills 目录
- 需要密钥
- 是
- 近月下载
- —
- 最近推送
- 2 天前更新
项目说明
From README
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 pers
Original description
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.
安装方式
克隆到 skills 目录 · 需要额外配置密钥
git clone https://github.com/MemTensor/MemOS.gitnpx @deepseek-ai/dsh plugin --profile web add @memtensor/memos-cloud-dsh-plugin@latestnpx @deepseek-ai/dsh web安装命令包含风险形态
- 远程脚本直接管道执行（curl | sh）
全局安装会修改系统级依赖；远程脚本执行等于把执行权交给仓库作者。装前请通读命令。
为什么是这个分数
近 3 天仍在推送；README 给出了可直接复制的安装命令；运行前需要准备 API Key 或环境变量；12307 stars，社区使用面较广。
- 维护活跃
- 100
- 实用度
- 100
- 生态热度
- 91
- 上手便捷
- 74
- 信号质量
- 100
- 数据置信度
- 100%
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