dsh-engram

DeepSeek Harness Memory Low risk

Cross-session long-term memory: dual-scope user/project SQLite stores, FTS5 + offline local vector hybrid retrieval, 9 engram_* tools, per-turn automatic capture, a distillation flywheel, provenance audit, and a bilingual Settings memory-library panel.

跨会话长期记忆：用户/项目双层 SQLite 分库、FTS5 与离线本地向量混合检索、9 个 engram_* 工具、逐轮自动摄取、蒸馏飞轮、来源审计，以及设置页中英双语的记忆库管理面板。

How to install

DeepSeek Harness dsh plugin add @kenz1117/dsh-engram

About

dsh-engram 中文 | English --- 快速开始 sh dsh plugin --profile web add @kenz1117/dsh-engram 安装后无需配置即可使用（默认分库与模型缓存在 ~/.dsh/engram，画像注入开启，自动摄取关闭）。特性 **跨会话记忆**：会话开始注入用户画像摘要（条数 + token 预算双重上限，可配），Agent 天然"记得"你是谁、在做什么；工具检索跨会话召回历史事实。 **双层分库**：user.db 全局共享；project-<hash>.db 按 git origin 标识隔离（无 git 时回退工作目录编码，旧库自动迁移）——个人偏好跟人走，项目约定跟仓库走。 **混合检索**：FTS5（unicode61 + 中文 2-gram 预切词）与本地向量（Xenova/bge-small-zh-v1.5，512 维，q8）RRF 融合 + 关系边一跳扩展 + 新鲜度/命中次数乘性排序 boost；嵌入模型离线运行，下载失败自动降级纯关键词并显式标记。 **知识飞轮**：摄取/保存 → 矛盾候选（写入时高相似近邻建 contradicts 边并报告，模型/用户裁决）→ 命中强化（confidence +0.05）→ 蒸馏（同主题簇合并为高层规律、supersedes 取代链、置信度继承）→ 衰减（低重要性且长…

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Recommendation signals

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

– User interest · Adjusted by in-site views, install copies and download clicks

51 Overall

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Links

GitHub ↗ npm ↗ Homepage ↗ Report issue ↗

Basic safety check

Findings: None
Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics: agent, awesome-dsh-plugin, deepseek-harness, dsh, dsh-plugin, embeddings, memory, sqlite

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