Plugins

DSH host bundle for the ShyPie privacy-first workflow: extracts attached images and PDF/Office files locally before they enter the session log (requires poppler pdftotext/pdftoppm on PATH and a local OCR engine — Windows OCR on Windows, optionally tesseract; without them attachments are rejected, not forwarded); default filter mode keeps text local (optional local masking); blocks unmaskable media/BLOB; provides local privacy_extract, privacy_ocr, privacy_scan and privacy_rehydrate tools; denies read_image and binary/document reads outside allowPaths; and enforces a fail-closed llm/stream egress guard before DSH dispatches a model request (the default provider allowlist is the local Magpie gateway).

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

Offline civil-service exam study panel integrating 15 upstream open-source question banks with SRS wrong-book, mock exams, essay grading, interactive knowledge graph and whitebox observability. The npm package ships no question-bank data: after install, the required set (~363 MB) is cloned from the question-bank manager (all 15 upstream repos are about 2.2 GB).

Per-workspace personal knowledge base for DeepSeek Harness: each identity gets an isolated local library — import PDF, Word, Excel, Markdown, text, HTML and images, auto-chunk and embed into SQLite with FTS5 + vector hybrid retrieval, then ask questions in chat with numbered citations back to the source. Local-first, no cloud upload; vector embeddings need a local Ollama (default bge-m3), and without it retrieval degrades to FTS5 keyword search.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

ArcVista 观界 —— DSH 内的架构观测台：本地项目、Git 克隆或批量 Git 导入，架构图、安全守护、知识图谱、复杂度与快照对比

Long-term associative memory for DeepSeek Harness: a local plain-text vault of raw episodes, typed memory cards and entity pages, configured from 设置 → 记忆图谱, and a Memory tab inside a conversation that draws what that session remembered. No build step; the

内置 zk 的 DSH 知识库 / 日记插件：装好即用 —— 自动装 zk、建笔记本，给 agent 一组 zk_* 工具（搜索、读写、日记、双链），设置页里管路径、索引与自检。

Local-first, file-native long-term memory for DSH with per-turn preflight, compact context injection, citations, human-approved writes, manual consolidation, nightly report-only maintenance, and a Web panel that is read-only for knowledge while allowing workspace-config edits.

Windows-only DSH plugin that stops SnowLuma and local voice services during Beijing weekday peak hours and starts them again off-peak.

Serves the OwlCoda RunKit skill in the DSH skill catalog: project-owned objectives, work items, candidate identity, verification receipts, handoffs and recovery stay in project artifacts. Installs instructions only; the project-local owlrunkit CLI is a separate setup step.

Memory for DeepSeek Harness with five sections (memories, tree, profile, graph, inbox), a rule-based capture policy that decides what to keep and what to drop, and hybrid BM25 plus vector retrieval over parent and child chunks, backed by twelve agent tools that read and write the same local files.

Local-first research toolkit for DSH: registers kb_grep, kb_list, and kb_save model tools. kb_grep searches the markdown knowledge base with ripgrep when present and falls back to grep, while kb_list and kb_save go through the scoped ctx.fs filesystem service; the KB defaults to ~/dsh-kb. The repo also ships two skills (local-first-research and session-memory) that must be copied into a DSH skills directory yourself; they are not installed by the plugin bundle. The plugin is pure Node ESM with no npm runtime dependencies and ships a framework-free node test harness. Installable via plugin_manager install_bundle; no client UI is bundled.

A proactive, human-like personal-assistant kernel for DeepSeek Harness: personal knowledge, stable and situational guidance, follow-through tasks, adaptive check-ins, resource discovery, and reusable experience.

给大肥鱼会话用的 QQ 群/私聊工具：列群、看群记录、发群消息（可引用/@）、发表情、收藏表情（SnowLuma 收藏夹）、好友/私聊记录、发私聊消息、私聊唤醒、群成员、戳一戳感知/戳回去、更改头像、好友管理（资料/备注/分组/删好友/名片赞/好友申请）、QQ 空间说说（列表/详情/发表/评论/点赞/权限）、挂载会话选择。11 个工具组加 1 个设置组件，可在插件页逐个开关。

Automatically groups installed plugins in dsh-market on startup.

Lets build commands run inside the DSH sandbox instead of asking for elevation on every invocation: redirects pure caches (GOCACHE, NPM_CONFIG_CACHE, BUN_INSTALL_CACHE_DIR, PIP_CACHE_DIR) to a temp root, or grants the real cache directories write access in place so they stay shared with the terminal. Dependency stores (GOMODCACHE, CARGO_HOME) are never redirected, only granted. Adds optional user-directory grants (~/.config and friends, all off by default) and a command allowlist that matches exact strings or per-segment after splitting on &&, ||, ; and |, while rejecting redirects that write files (fd duplication like 2>&1 and /dev/null are allowed), command substitution and backgrounding outright. Settings are per-profile or per-session; file edits apply without a restart.

Network Engineer Assistant preset plus a 12-vendor, 96-document switch/router/firewall command knowledge base skill (Huawei, H3C, Ruijie, DPtech, Cisco IOS/IOS-XE, Cisco NX-OS, Juniper Junos, Arista EOS, Fortinet FortiOS, ZTE ZXR10, VyOS, MikroTik RouterOS) with KB-first retrieval, cross-vendor command translation, topology and CLI screenshot reading, cited online manual lookup, and mandatory risk annotations for dangerous commands; answers networking topics only. A community continuation of sososilencing/dsh-network-engineer (see NOTICE.md); it cannot be installed alongside that upstream plugin because both register the network-command-kb skill and a 网络工程师助手 preset.

Adds a global document-routing prompt so PDFs, images, and Office files are read with the right tool.

Compile a video link into timestamped Markdown knowledge cards with back-links to the exact moment. Requires your own Python 3.10+ and yt-dlp (ffmpeg + faster-whisper only for videos without subtitles; Bilibili login cookies for members-only subtitles).

Team shared knowledge base: one member runs a zero-dependency Hub, everyone else installs this plugin and joins with one invite code. Uploads are filed into ten categories with a summary, confidence and points; 15 agent tools let members upload, search, recall, comment and read them. Important items are pinned with a hand-written recommendation until the member has read them, and each account also gets a private local library, collections, a weekly digest and version diffs.

Local document library for DSH Desktop (Windows only, installed with the bundled PowerShell script): upload files once, then every conversation can search and read them through four tools (library_list / library_search / library_read / library_save); upload, download and batch download live in the Settings panel. Files stay on the machine unless you enable the optional vision model, which sends images to the endpoint you configure.

Codebase knowledge graphs for DeepSeek Harness: seven graphify_* Agent tools, a /graphify command, and a Graphify page build and query a project graph locally with AST parsing (no API key), plus path/explain/god-node lookups and wiki/HTML/SVG/GraphML/Obsidian exports. Requires the graphify CLI (graphifyy); only full document/PDF/image extraction needs an LLM key.

Connect DSH to a local BiliMemory backend for Bilibili search, collection, status and login tasks, A-Memorix shared memory health checks, plus QQ link status, QQ user allowlists and QQ watcher restart. The repository includes a Windows one-click installer that installs or repairs MaiBot A-Memorix when missing, then configures local-bge-small-zh, embedding and shared memory. It also provides install-memory.cmd for memory-only repair. Requires Windows, DSH Desktop 0.2.1-rc.2+, Node.js 22.19+, Python 3.12, Playwright/Edge, FFmpeg, a running BiliMemory API at 127.0.0.1:8765, a local embedding service at 127.0.0.1:11435, a Bilibili login, and MaiBot/NapCat for QQ. Voice, RVC and cover features are excluded.