vector-search 7
Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel
dsh plugin add dsh-knowledgeLocal document knowledge base for DeepSeek Harness: library_add/remove/list, hybrid semantic+keyword library_search with diversity re-ranking, relevance filtering and lost-in-the-middle avoidance, citation-aware injection, library_cite_check and library_d
dsh plugin add dsh-libraryDeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
dsh plugin add dsh-tdai-memoryAI-memory 深度集成 —— 基于 One Memory 源码的 DSH 语义记忆插件
dsh plugin add @wangjiezhong/dsh-memory-aiScriptor 检索增强:嵌入、场景识别与重排
dsh plugin add @linfengqaqtat/dsh-scriptor-retrieval网文写作工作台可选嵌入提供方
dsh plugin add webnovel-embedding-providerSix-layer agent memory for the DeepSeek Harness: identity / behavior / cognitive / information / experience / skill layers plus working memory, backed by per-workspace SQLite (FTS5 + vector) with behavior-rule enforcement, LLM consolidation, skill & exper
dsh plugin add @lob.bowen/dsh-mos