dsh-qknowledge-base
Local knowledge base for DeepSeek Harness: document CRUD, keyword search and a kb_search model tool.
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Local knowledge base for DeepSeek Harness: document CRUD, keyword search and a kb_search model tool.
Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management. 会话工作台:会话库(全文搜索历史会话,一键以 @引用 召回给 AI)+ 会话视图(管理会话标签栏 显示/隐藏 + 排序)(session search / recall / view management / 会话视图).
Living memory for DeepSeek Harness — self-tending knowledge base: nightly patrol, temporal decay, RRF hybrid recall, knowledge graph, telemetry. Built by 暖暖 (NuanNuan).
DeepSeek Harness bundle that registers the learn skill pack on ctx.skills.
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
DeepSeek Harness Windows desktop companion: tray icon (whale), desktop shortcut, login auto-start that opens exactly the client you chose (desktop app window or web browser), and one-click desktop/web switching (local Edge/Chrome app mode).
Local-first RAG knowledge tools for DSH: kb_query / kb_ingest / kb_crawl / kb_related, backed by the kb-rag Python pipeline (Ollama bge-m3 + ChromaDB + SiYuan). Zero API cost, data never leaves your machine.
D-Robotics RDK (地瓜机器人) integration for DeepSeek Harness: native RDK skill catalog, rdk_skills browser tool, and rdk_board_detect device detection.
WikiBridge:DSH 与 Obsidian vault 的知识库桥接 —— 约束工具(wiki_search/read/write)+ 自动词典检索 + 持久化配置
Conversational bookkeeping plugin for DeepSeek Harness: record expenses/income by chat, query the ledger, run reports, export CSV/HTML, and track monthly budgets.
Solve the AI goldfish brain: a personal memory layer for DeepSeek Harness — preferences, project conventions, workflows, and error lessons, stored locally as auditable, evidence-backed Markdown/JSON. 解决 AI 金鱼脑:偏好、项目约定、工作方式与纠错教训的本地可审计记忆层。
失败账本 — DeepSeek Harness 工具失败记录、签名聚类与失败感知重试拦截(含 Web UI 面板)。Failure ledger for DeepSeek Harness: capture, cluster, persist and learn from failed tool calls, with a failure-aware retry guard and a Web UI panel.
Text-to-speech for DeepSeek Harness: speak agent replies in the Web UI with a provider fallback chain (OpenAI, ElevenLabs, Google, Azure, Groq, Deepgram, OpenRouter, Edge, Piper, eSpeak).
X-ray for your DeepSeek Harness — diagnostics for what's actually loaded, why, and what it costs: per-plugin context-tax attribution, per-request token ledger, skill catalog pricing, dependency cascades.
DSH web plugin: search and read an Outline knowledge base from conversations, with approved, whitelist-guarded document writes.
DSH Feishu self-built app integration: receives text messages over the official Feishu WebSocket long connection, routes them to a DSH agent session, streams safe assistant text deltas through a Feishu CardKit card, and falls back to ordinary text when card streaming is unavailable. Acknowledges with an OK reaction (text fallback). Standalone Cordis bundle — no dsh source changes.
openwiki 知识库:DSH 内嵌代码库 Wiki 生成与阅读(复用 DSH 模型、运行时托管、生成/更新任务、知识卡片)。
DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.
Mnemosyne 永久记忆插件 - 为 DSH 提供长期记忆、向量搜索和 LLM 反思功能
Hybrid memory plugin for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md, read on demand, zero context cost) + L2 searchable knowledge base (one-fact-per-file, SQLite FTS5) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and approved Agent Hub documents. No automatic injection. Data lives on D drive, never C.
Codex-style conversation turn navigation for the DeepSeek Harness web GUI: a piano-key rail at the left edge of the conversation (hover ladder, preview tooltip, click-to-jump, active-turn tracking) plus user-message send time and per-turn marks with distinct rail colors, persisted per session.
边做边学知识库:CRAG 式纠错检索(L1 Markdown wiki + L2 Hindsight)→ 未命中后台经 L3 限流联网补料 → 蒸馏落 staged → 两段式 commit 升入 L1。
DSH 知识图谱插件:可视化插件/技能/工具、依赖关系与使用统计,可回看每轮思考过程与工具调用轨迹 | Visualize installed plugins/skills/tools, dependencies & usage stats, with per-turn thinking/tool-call trace.
dsh 插件 · 团队知识库:离线知识共享(FDE 盒子场景),浏览/全文检索/加工入口;raw 入料自动入队、bot 会话串行蒸馏成文(Karpathy LLM Wiki 模式:raw 不可变 / 两步加工 / log 流水 / 月度 lint)。