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dsh-layered-memory

DeepSeek Harness Memory Low risk

Long-term memory for DSH: conversations auto-distilled into atomic facts, scene summaries and a persona profile, with relevant memories injected before every model step. Zero-config out of the box — hybrid BM25 + vector retrieval, optional offline local embeddings, chat/work family separation.

dsh 长期记忆:对话自动蒸馏为原子事实、场景摘要与用户画像,每步模型调用前自动注入相关记忆。开箱零配置——BM25 + 向量混合检索,可选本地离线嵌入,chat/work 双族隔离。

How to install

DeepSeek Harness dsh plugin add dsh-layered-memory

About

alt="DeepSeek Harness hero 横幅:对话自动分层蒸馏成记忆,模型每步前自动召回注入——右侧对话气泡逐层溶解为三层渐亮光带,流入带发光圆球与渐变轨道的玻璃胶囊(下有 日常·工作·智能·关闭 四档刻度),光丝回流示意召回注入"> dsh-layered-memory **DeepSeek Harness 的分层蒸馏记忆插件:对话在后台自动完成 L0 捕获 → L1 原子记忆 → L2 场景整合 → L3 画像蒸馏,模型每一步前自动把相关记忆注入上下文。** English · 最新发行版 · 反馈问题 快速开始 需要 Node ≥ 22.16。两种调用方式任选(npx 前缀可替换下面任何 dsh 命令): bash 方式一:npx 直接跑官方 CLI(无需预装 dsh;可 pin 版本,如 dsh-layered-memory@0.7.1) npx -y @deepseek-ai/dsh plugin --profile web add dsh-layered-memory 方式二:已装 dsh CLI(dsh 是 pnpm 转发器,未装 pnpm 时先 npm i -g pnpm) dsh plugin --profile web add dsh-layered-memory 包源备选:GitHub 仓库 / 本地路径(开发调试,link: 指向仓库,npm …

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67 Tool quality · Based on stars, downloads, maintenance, security and docs
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Meta

License
MIT
Language
TypeScript
GitHub stars
16
mo. downloads
4.0K
Last push
2026-09-07
Created
2026-08-16

Links

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
agent-memory, ai-agent, context-engineering, cordis-plugin, deepseek, deepseek-harness, dsh, dsh-plugin, embeddings, llm, long-term-memory, memory, rag, sqlite

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