rag 27

WeKnora knowledge retrieval tools for DeepSeek Harness (dsh): semantic search, document reading and RAG/agent answers over your own knowledge bases.

Bailian knowledge-base tools for DeepSeek Harness: kb_search and kb_chat over the DashScope RAG API, plus the bl CLI management skill.

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

PRTS.chat corpus browser with local/cloud search, source reading and a Rhine Lab 3D workspace for deepseek-harness

Local 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

Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.

记忆核心（Memory Eternal）：自研的 DeepSeek Harness 记忆插件，不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault（自研去重、自研 CJK 检索、可 git 管理），设置页提供图形化知识库（统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗），Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。

Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console

Local literature knowledge-base RAG for DSH: hybrid BM25 + vector retrieval, cross-encoder reranking, cited answers with section- and page-level provenance, metadata-only refresh and background ingest with progress polling, over a SQLite index.

记忆核心（Memory Eternal）：自研的 DeepSeek Harness 记忆插件，不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault（自研去重、自研 CJK 检索、可 git 管理），设置页提供图形化知识库（统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗），Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。

DeepSeek Harness 插件：论文伴读工作台 — PDF 转录 / 检索 / 原生对话伴读 + 内置阅读器页面。

DeepSeek 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。

A general-purpose knowledge base plugin for DeepSeek Harness (DSH): import documents (md/txt/json/yml/docx/pdf), organize them in folders, and search with FTS5. 通用知识库插件：文件导入、目录化管理、全文检索、知识库管理 UI。

AiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal chains, Hebbian associations and graph diffusion. 记忆感知系统

Learning assistant extension for DeepSeek Harness (dsh): DeepTutor tutoring for your agent — deep explanations, self-test questions, learning paths, personal knowledge-base search (RAG), and note archiving (HTTP/WS first, CLI fallback; auto-adapts local/r

Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search (bge-m3, free optional key) and automatic retrieval — agents stop forgetting.

DeepSeek Harness plugin: ingest research PDFs into a citable OKF markdown library, then search, graph, measure coverage, and write surveys in the same conversation

Living memory for DeepSeek Harness — self-tending knowledge base: nightly patrol, temporal decay, RRF hybrid recall, knowledge graph, telemetry. Built by 暖暖 (NuanNuan).

Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki

dsh 插件开发知识库：DeepSeek Harness 官方文档站完整 Markdown 镜像（中英双语 188 页）+ 182 篇仓库补充开发参考 + 主题导航与 373 文件全量搜索索引；以 dsh-plugin-dev-kb 技能让 agent 在插件开发任务中自动加载定位文档。纯数据插件，零运行时依赖。

Veyra — Engineering Intelligence for Coding Agents. Persistent, evidence-aware, project-isolated engineering memory and unified hybrid search (memory + RAG documentation) for DeepSeek Harness.

Knowledge-base and memory switch for dsh web: a three-position memory button in the composer tool row (left of the model selector) plus 「我的知识库」 and 「Cherry Studio 知识库」 settings pages. The host half orchestrates the local 我的知识库 toolchain (记忆开关 / idx / cher

Local knowledge base RAG for DeepSeek Harness -- index project files and search for relevant context

脑珊瑚 Coral Memory — 面向 LLM Agent 的热度感知记忆层（DeepSeek Harness 插件）：MCP 记忆工具（memory_search/insert/thread_* 等 16 个）+ 设置面板（统计/容量/检索/配额）。作者：Mr. Code Muggle (@Ne)。

Drag-and-drop document reading for DeepSeek Harness: land PDF / Word / PowerPoint files in the workspace and give the agent outline, search and read tools so it can answer questions from them.

记忆核心（工作区版 memory-eternal-ws）：按 DSH 工作区自动切库的本地 Markdown 记忆库插件。每个项目用自己的 .dsh/memory-vault，跨项目知识走全局库。fork 自 dsh-memory-eternal v0.7.0，保留自动沉淀 / 自动召回 / 知识卡 / 知识图谱 / 审核中心 / 回收站 / 配置页全部功能。

Project PDF library with background indexing and cited page highlights for DeepSeek Harness Web