MIT 授權的 Electron 桌面用戶端，在本機託管 DeepSeek Harness（自動啟動 `dsh web`），提供零程式碼交談、外掛探索與一鍵安裝、Preset 廣場及視覺路由，支援 macOS arm64 與 Windows x64。
DSH 整合
原生執行環境
作者聲明
安全稽核
未稽核
最後核實
2026-08-21
授權條款
MIT
01它能幫你完成什麼？
Run DeepSeek Harness as a zero-code desktop app on macOS and Windows, without touching the command line
A local desktop workspace keeping DeepSeek Harness sessions, workspaces, models, tools, Skills and plugin capabilities, hosted by a `dsh web` service the app starts and manages
Users who want a DeepSeek Harness desktop experience with no Node.js setup or terminal commands
Discover, install and manage DSH plugins and Agent Presets from a visual plugin center
Verified plugin installs from the public npm registry with enable/disable/update/uninstall management, plus one-click Agent Preset installs usable in new sessions
DeepSeek Harness users who want to browse, verify and install ecosystem plugins without memorizing package names or CLI flags
Give DeepSeek image understanding in desktop conversations via vision enhancement
Images routed to the exact model's native image input, or to a verified Bailian/OpenRouter-compatible vision path, covering screenshots, error dialogs, design mocks and charts
Users who paste product screenshots, error screens or design files into DeepSeek Harness chats and want the agent to actually see them
02如何將外掛接入 DeepSeek Harness？
先決條件
- macOS arm64 or Windows x64 machine — preview installers are published only for these platforms
- No Node.js or pnpm needed for the packaged desktop app
- For source development only: Node.js `^22.19.0 || >=24.0.0` and pnpm `11.7.0`
安裝步驟
- 01
Download the macOS arm64 preview ZIP or the Windows x64 Setup.exe from this repo's GitHub Releases (desktop installers are not distributed via third-party download sites)
- 02
macOS: unzip the preview, drag `DeepSeek Harness.app` into Applications, then run `xattr -dr com.apple.quarantine "/Applications/DeepSeek Harness.app"` and `open "/Applications/DeepSeek Harness.app"` because the preview is not Apple-notarized yet
- 03
Windows: run `DeepSeek-Harness-Desktop-Windows-x64-0.1.0-rc.14-Setup.exe` directly to install
- 04
From source instead: `git clone https://github.com/fufankeji/deepseek-harness-studio.git`, then `pnpm install` and `pnpm run dev:desktop` to build the required modules and launch the desktop dev environment
$ git clone https://github.com/fufankeji/deepseek-harness-studio.git
驗證整合成功
- After the first successful open on macOS, the app can be launched like a normal application from Finder or the Dock
03DSH 整合程度與能力邊界
Native desktop host: the Electron main process starts and manages a local `dsh web` service, wrapping the DeepSeek Harness core and Web workspace in a zero-code desktop app
Local Harness Host (`dsh web` lifecycle)
the bundled DeepSeek Harness core and Web workspace→a local `dsh web` service started by the desktop main process, kept ready in the app window and shut down when the app exits
starts and manages a local `dsh web` host process on your machinePlugin discovery & public plugin center
the online public `dsh-plugin` catalog and published npm packages (short name, full npm name, or mapped GitHub repo)→curated/recent/trending plugin feeds, natural-language `/find-plugins` search, verified installs, and enable/disable/update/uninstall management
reads the online plugin catalog and downloads packages from the public npm registryinstalls plugins locally and restarts the Harness Host after installuninstall keeps config and plugin data by default; data cleanup requires separate confirmationVision enhancement with auto routing
images attached in the chat input (screenshots, error screens, design mocks, charts, photos)→the original image sent to the model's native image input, or a verified Bailian/OpenRouter-compatible vision path — one path per image
when enabled, images enter the model-visible context and are sent to the selected model/vision provider; compatible vision requires a verified providerPreset Square & Application Center
Fufan-official and community Agent Presets (7 built-in real-scenario workflows) and built-in AI applications such as FF–LLM Wiki→one-click preset installs usable directly in new sessions, and full AI apps with their own UI, data directory and runtime flow
preset installs are verified (source, size, digest, archive path) and written to the local user Preset directoryFF–LLM Wiki writes documents, Wiki, knowledge graph and SQLite data to an app-specific directory under DSH Home
04適合誰？何時不該用？
適合
- Users who want a DeepSeek Harness desktop experience with no Node.js setup or terminal commands
- DeepSeek Harness users who want to browse, verify and install ecosystem plugins without memorizing package names or CLI flags
- Users who paste product screenshots, error screens or design files into DeepSeek Harness chats and want the agent to actually see them
不適合
- The macOS preview package is not Apple-notarized yet, so first launch requires removing the quarantine attribute via `xattr`; previews are only macOS arm64 and Windows x64, distributed exclusively through this repo's GitHub Releases.
- Current downloads are development preview assets (rc.14); signed official releases (macOS `.dmg`, Windows `.exe`) will only arrive later, so preview behavior may change.
05相容性、維護與安全提醒
- The macOS preview package is not Apple-notarized yet, so first launch requires removing the quarantine attribute via `xattr`; previews are only macOS arm64 and Windows x64, distributed exclusively through this repo's GitHub Releases.
- Current downloads are development preview assets (rc.14); signed official releases (macOS `.dmg`, Windows `.exe`) will only arrive later, so preview behavior may change.
- Source development requires pinned runtimes — Node.js `^22.19.0 || >=24.0.0` and pnpm `11.7.0`; actual model calls additionally need user-configured credentials in settings.
MIT · actively maintained (latest release desktop-preview-v0.1.0-rc.14, 2026-08-20)
06常見問題
Studio 如何與 DeepSeek Harness 整合？
它是原生桌面宿主，而非 MCP 外掛：專案以 deepseek-ai/deepseek-harness 的 Harness 核心、Cordis 外掛體系與 Web 介面為基礎開發，Electron 桌面主行程會啟動本機 `dsh web`，等待服務就緒後載入工作區，並在應用程式結束時關閉 Host 行程。Studio 0.1.0-rc.14 整合了 DeepSeek Harness 0.1.0-rc.8 的核心與 Web 能力。
支援哪些平台？要從哪裡下載？
目前提供 macOS arm64 預覽 ZIP 與 Windows x64 安裝程式，僅透過本儲存庫的 GitHub Releases 發布，不使用第三方下載站。macOS 預覽包尚未通過 Apple 公證，首次開啟前需在終端機執行 `xattr -dr com.apple.quarantine` 移除隔離屬性。
需要先安裝 Node.js 或設定 API 金鑰嗎？
不需要。執行封裝後的桌面版不必另行安裝 Node.js 或 pnpm，下載與啟動也不需填寫 API 金鑰；只有在應用程式中實際呼叫模型時，才在設定頁配置所選模型服務與憑證（FF–LLM Wiki 的生成式 RAG 另需你自己的 `DEEPSEEK_API_KEY`）。
線上安裝外掛的流程與驗證機制為何？
外掛中心可用短套件名稱、完整 npm 套件名稱或對映的 GitHub 儲存庫，尋找發布到 npm 公共 Registry 的外掛，下載確定版本並驗證套件身分、完整性與 Bundle 宣告，確認後自動安裝並重啟 Harness Host 驗證執行狀態；Studio 不會直接安裝儲存庫原始碼。解除安裝預設保留設定與資料，清理資料需另行確認。
開啟視覺增強後，圖片會被傳到哪裡？
依目前確切模型的能力自動選路：模型宣告支援圖片時直接傳送原圖；否則走已完成設定與驗證的百煉或 OpenRouter 相容視覺。兩條路徑互斥，同一張圖片只處理一次；關閉開關後圖片不會進入模型上下文。自訂背景圖片僅在本機裁切，不會上傳原圖。
07相關的 DSH 工作流程
open-design
作者 nexu-io
DeepSeek Harness 的開源 AI 設計外掛，本地優先桌面應用，讓編碼智慧體變身設計引擎，生成原型、落地頁、幻燈片、圖片與影片，支援多種格式匯出。
picgo
作者 molunerfinn
PicGo：面向高效創作者的圖片上傳神器，支援 Obsidian、Typora、VS Code 等編輯器，以及 S3、GitHub、Cloudflare R2、Imgur、阿里雲 OSS 等 60+ 圖床，貼上即上傳。
dsh-desktop
作者 anywhere-labs
為 DeepSeek Harness (DSH) 外掛生態打造的現代化桌面端解決方案。萬物皆「外掛」，桌面本身也是「外掛」。
openbiliclaw
作者 whiteguo233
本地私有、開源的自進化跨平臺 AI 內容發現 Agent：先理解你，再主動從 B站、小紅書、抖音、YouTube、X、知乎、Reddit、微博等平臺與開放 Web 尋找內容。（支援 deepseek harness 外掛） | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.（support deepseek harness plugin）
08資料與來源
DeepSeek Harness Studio 使用 Electron 承载 DeepSeek Harness 的 Web 工作区，并由桌面主进程启动和管理本地 `dsh web` 服务。
**本地 Harness Host**：桌面主进程启动 `dsh web`，等待本地服务就绪，并在应用退出时关闭 Host 进程。
本项目基于 [deepseek-ai/deepseek-harness](https://github.com/deepseek-ai/deepseek-harness) 的 Harness 核心、Cordis 插件体系和 Web 界面继续…
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。
最佳 DeepSeek Harness 外掛
從全目錄挑出的 12 個值得優先安裝的外掛，涵蓋各個分類。