Plugins

Local-first persistent memory for DeepSeek Harness: bounded pre-step hot-memory injection, exact and Chinese-bigram BM25 cold recall, six agent tools, approval-gated lease-lock writes with recovery receipts, and read-only governance and trajectory-review candidates.

Dead-code detection for AI-generated codebases: graphlint builds a dependency graph, finds code unreachable from any entry point to enable codebase cleanup and functional‑effectiveness understanding, and exposes graphlint_query / graphlint_build / graphlint_config tools plus a graphlint skill to DSH agents.

Per-workspace project kanban board: nine kanban_* model tools for agent-driven planning plus a browser board UI, with disk persistence, undo, templates, and archiving.

Biomimetic memory system for DeepSeek Harness: a single SQLite store (node:sqlite, WAL) whose Markdown tree is kept as a read-only mirror; memory tools, frozen-snapshot injection at session start, graded approval gating, on-demand extraction of the current session, near-duplicate merging, an archive and supersede lifecycle, memory metabolism (dream), memory pins, semantic recall over local embeddings, and the /memory command.

把你的任何想法，变成每个平台原生的宣发内容 | Turn any idea into platform-native publicity

DSH 真实浏览器插件：通过 Kimi WebBridge 让 Agent 操作用户已登录的浏览器，并提供 13 个 webbridge_* 工具。 / Let DSH Agents use your signed-in browser through thirteen Kimi WebBridge tools.

Adversarial checkup → fix → review loop toolset.

Exposes a running DeepSeek Harness as an MCP server over Streamable HTTP or a bundled stdio bridge, so an external agent can create workspaces and sessions, prompt, fork, rename and switch the model on them, read and write files, run foreground and background shell commands, call the instance's own agent tools by name, and read per-turn and cumulative token usage with a cost receipt when a price plugin is installed.

Data asset orchestration engine that chains suite tools into preset pipelines (masking, cleaning, inventory, packaging, attestation, AI dataset health check, government inspection, circulation assessment), with incremental and scheduled processing.

Connects DeepSeek Harness to QQ over OneBot 11/12, Satori, Milky or the official QQ bot API, with a separate session per group or private chat and nine built-in tools: group management, chat history with image understanding, web search, page fetching, reverse image search and image generation. Optional proactive chatter reads recent messages on an interval and decides whether to join in, with the judging and speaking stages able to use different models. Models, proxy and allowlists are configured in the DSH settings page. First run requires an owner (auth.owners): with it empty the plugin drives no sessions at all (deny by default, so installing it does not expose the bot); once set, private chats and groups work immediately, guests only reach the guest tool allowlist while qqbot and qqconfig stay owner-only.

Three tools that let any agent, including a team member, list, steer and stop the subagents it started.

Browse Tencent ima knowledge bases in a DSH sidebar panel, preview PDF, Office, note and media files inline, and let the agent search and read them through five tools.

Controls the Chrome you are already logged into: the model clicks, types, fills in forms, reads pages, takes screenshots and downloads files in your real tabs, including inside same-origin iframes. Runs on macOS, Windows and Linux; needs Chrome 116+ and Node 18+. Works over native messaging and chrome.debugger instead of a listening port. Ships 12 browser_* tools and a cb CLI, dispatches real CDP input events, draws an on-page cursor that also appears in screenshots, and adds a toolbar panel with live status, the controlled tabs and a pause switch. browser_download saves a link, an element's target or a URL with the site's login cookies (following redirects, keeping the server's file name) to the Downloads folder or the session's working directory; cross-origin iframes are named in the snapshot but not entered. The native host and the MV3 extension travel inside this tarball: on first load the plugin copies them into place and writes the native-messaging registration itself, so there is no clone, no install.sh and no python3 - the one step left is adding the extension to Chrome: install DSH Bridge from the Chrome Web Store (https://chromewebstore.google.com/detail/bippcbbbipppmhjkjomgdnjbooecbimo, no Developer mode), or load the bundled unpacked copy at chrome://extensions (the plugin opens that page and puts the folder on the clipboard for you). Until then the tools fail loudly with those steps. On Windows the registration goes into the registry (for Chrome and Edge) and the host talks over a named pipe. A daily CI run on GitHub's macOS, Windows and Linux machines installs the plugin, loads the extension into a real Chrome and reads a page through the browser_* tools.

Settings page for the REA reverse-engineering tool gateway (rea-mcp-lite) that lives in the same repository: pick which tool bundles load into context, see the tool count and token cost of each bundle, save and recall named presets of your loading setup, hot-swap them without restarting DSH, and check this repository and REA for updates, including classifying the tools a new REA release added. The page is split into sections with sub-menus, filters and pagination. Requires REA (rea-agents) and the gateway registered as the rea MCP server (see repo README).

Local Markdown long-term memory for DSH: an Obsidian-compatible vault, a sidebar management page, four memory tools, and budgeted per-turn recall.

Multi-agent orchestration preset: a lead agent dispatches subagents from a built-in role roster over separate read and write lane pools with per-role model binding, and collects each subagent report on a shared board; adds go_work/continue/need_help/forward tools, a tree-view panel and a settings page.

Tidy the model list of DeepSeek Harness: hide any model from the selector, rename models and channels while keeping the provider billing rate, and arrange both with arrows. Search, per-provider batch toggles, back to top, one-click restore. Display only — no provider configuration is rewritten.

Desktop half of the dsh browser extension: mounts a token-authenticated WebSocket bridge on the dsh webserver and exposes the browser_* tools that let the model read the tab you are on as text and act on it, with image recognition off until the user enables it.

Runs the agent's shell and file tools in disposable Podman containers, so its access is constrained to the workspace project by default, and adds container, image, volume and secret management with approval-gated control.

Windows Computer Use for DeepSeek Harness with screenshots, UI Automation, 18 desktop tools, per-Agent activation, human-input handoff, approval prompts and prebuilt native workers.

Lifecycle notification layer for AI coding agents — DeepSeek Harness 0.2 plugin: OS notification, in-page toast, and optional sound when a turn, background job, review, or failure needs you.

Make your dsh ready for serious coding. (Tools x Schemas)^REPL. `skill://`, `ctx://`, `agent://`, `dvc://`, `dsh://`, IPython REPL, Context as Variables, cross compactions recallable, full context revive. `hash-edit`, `dvc://browser`, subagent as function, workflow as function.

Deterministic project actions shared by people and agents: one actions.json, a right-sidebar run panel, and agent tools.

Drive DSH from anything that speaks HTTP: 47 routes (REST + SSE) for workspaces, sessions (create/prompt, live SSE generation, history, stats, todos, cancel, ask-user Q&A), models and the global default model, providers, agent presets, settings namespaces, skills, and workspace files including resumable chunked upload — plus an OpenAI-compatible /chat/completions, a built-in OpenAPI 3.0 spec and an interactive request page. It only injects the host webServer and tools, so it rides on the DSH webserver (default prefix /api/v1) or its own port with optional API-key auth, and it ships a skill that teaches the DSH agent to call the API.