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dsh-hybrid-memory

DeepSeek Harness Memory Low risk

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

DSH 本地混合记忆插件:L1 快照(MEMORY.md/USER.md,由 memory_* 工具按需读取)+ L2 可检索知识库(facts + SQLite FTS5,滑窗分词支持中文检索)+ L3 从 Hermes/Claude Code/Codex/WorkBuddy 以及 Agent Hub 已批准文档(memory/global、memory/projects、accepted decisions)导入,内容哈希去重。v0.2.0 已移除全部自动注入:记忆只在模型调用 12 个 memory_* 工具之一时才进入上下文,数据全部留在本地。

How to install

DeepSeek Harness dsh plugin add github:Frog755/dsh-hybrid-memory

About

dsh-hybrid-memory 融合 **Hermes 轻量快照记忆** 与 **Noema 可检索知识库** 的 DeepSeek Harness 记忆插件。 Hybrid memory plugin for DeepSeek Harness — combining Hermes-style frozen-snapshot memory with Noema-style searchable knowledge base. 为什么有这个插件(Why) **Hermes 的记忆**(MEMORY.md / USER.md)轻量、省 token、保 prefix cache,但不可检索、无审核。 **Noema**(dsh-noema)可检索、可导入、可解释,但需要 Rust 二进制服务端、每次召回动 prompt。 **dsh-hybrid-memory** 各取所长: | 层 | 抄谁 | 做什么 | |---|---|---| | **L1 常驻快照** | Hermes | MEMORY.md/USER.md,会话组装时冻结注入 system prompt;中途写入不改已注入内容(保 prefix cache);字符上限(与模型无关) | | **L2 知识库** | Noema | facts/ 一事实一文件 + node:sqlite FTS5 索引 + 实体抽取;按…

Recommendation signals

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

License
MIT
Language
JavaScript
GitHub stars
2
mo. downloads
–
Last push
2026-09-10
Created
2026-08-24

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
deepseek-harness, dsh, dsh-plugin, knowledge-base, memory, plugin

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