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DSH Desktop - An open-source local desktop application for DeepSeek Harness.

DSH Desktop is an open-source desktop client for DeepSeek Harness, packaging DeepSeek Harness into a local-first desktop application. DSH Desktop supports macOS and Windows, and can be accessed with a single click without requiring a command line...

What is DSH Desktop?

DSH Desktop is an open-source desktop client for DeepSeek Harness, packaging DeepSeek Harness into a local-first desktop application. DSH Desktop supports macOS and Windows and can be launched with a single click without requiring a command line. It includes built-in multi-model adaptation (DeepSeek, OpenAI, Kimi, etc.) and retains DeepSeek Harness's complete project management, agent, and plugin capabilities. It also includes a preset library for one-click import of professional worksheets for image creation, scientific evidence, and other applications.

Main functions of DSH Desktop

  • Zero command line startupPackage DeepSeek Harness as a desktop application; simply click the icon to run it. The system automatically handles Harness installation, random local port listening, startup detection, and lifecycle management in the background, requiring no terminal intervention.
  • Multi-model out-of-the-box adaptationSupports mainstream model service providers such as DeepSeek, OpenAI, Anthropic, Google Gemini, OpenRouter, xAI, Moonshot/Kimi, MiniMax, Zhipu GLM, Mistral AI, Groq, and Together AI.
  • Preset Square (Work Recipe)It offers scenario-based plugin combinations, such as image creation, scientific evidence, video production, Apple development, contract review, etc., and allows for one-click copying and installation requests to the client for import, automatically completing security verification.
  • Full Harness capabilities retainedHarness's core functionalities, including project management, agent dialogue, plugin system, and workflow, are all available, providing an experience consistent with the official web version.
  • Data stored independentlyConversations, plugins, and personal settings are stored outside the application's installation directory, and updating the application will not erase user data.
  • Safety reinforcementOnly listen to random events. 127.0.0.1 Ports should not be exposed to the public internet; remove Node.js renderer permissions and enable... contextIsolation And the sandbox mechanism.
  • Mobile phone controlIt supports pairing with mobile phones via local trusted Wi-Fi, enabling continued operation across devices.
  • Automatic updatesAfter startup, it automatically checks for new versions every 6 hours. After the background download is complete, it will prompt you to restart the installation.

How to use DSH Desktop

  • Regular users
    • Download and installVisit the official DSH Desktop website https://www.dshdesktop.com/, download the installation package for your system, and complete the installation.
    • First launchDouble-click the icon to launch the application. The Harness service will be automatically initialized in the background on the first launch.
    • Configuration ModelClick "Settings" in the lower left corner, select the model service provider, and enter the API Key.
    • Add workspaceClick the "+" button next to the workspace and select a project folder as the Agent's working directory.
    • Start conversationClick "New Session", select the standard mode and model, enter your requirements, and press Enter to send.
    • Use PresetVisit the official website Preset Plaza, copy the installation request, and then paste and import the applicable scenario-based recipes in the client.
  • Developers/Source Code Builders
    • Environmental preparationEnsure you have Node.js 22+ and npm installed, and are using a macOS or Windows x64 system.
    • Cloning repository:implement git clone https://github.com/dataelement/dsh-desktop.git Download the source code.
    • Install dependenciesRun the program in the project directory. npm installIt automatically applies patches and installs the Electron runtime.
    • Start Development:run npm run dev You can then launch DSH Desktop locally for development and debugging.
    • Quality inspection: Execute sequentially npm testnpm run typechecknpm run build Complete testing, type checking, and build validation.
    • Package applicationRun on the corresponding platform npm run package:mac or npm run package:win Generate the distribution installation package.
    • Installation and useInstall the packaged application, configure the API Key and workspace, and you can start using it.

DSH Desktop project address

  • Project official website:https://www.dshdesktop.com/
  • GitHub repository:https://github.com/dataelement/dsh-desktop

DSH Desktop's core advantages

  • Zero command line, ready to use out of the boxPackage DeepSeek Harness as a desktop application without installing Node.js or running it. npxNo manual port management is required; simply click the icon to launch the full Harness interface.
  • Multi-model out-of-the-box adaptationNative support for more than ten mainstream model service providers, including DeepSeek, OpenAI, Anthropic, Google Gemini, OpenRouter, xAI, Moonshot/Kimi, MiniMax, Zhipu GLM, Mistral AI, Groq, and Together AI.
  • Harness capabilities are fully preserved.Harness's core functionalities, including project management, agent dialogue, plugin system, Skills, MCP, and workflow, are all available, providing an experience consistent with the official web version.
  • Preset Square (Work Recipe)It features a built-in marketplace of scenario-based plugins, including image creation, scientific evidence, video production, Apple development, contract review, etc. Installation requests can be imported with a single click, quickly transforming a generic agent into a professional one.
  • Data independence, updates are not lostConversations, plugins, and personal settings are stored outside the application's installation directory, and upgrading the application will not erase user data.
  • Security reinforcement, local priorityOnly listen to random signals each time it starts. 127.0.0.1 Set the local port to not expose it to the public network; remove Node.js renderer permissions and enable it. contextIsolation With the sandbox mechanism.
  • Cross-platform supportSupports macOS Apple Silicon/Intel and Windows x64. The macOS version has been code-signed and certified by Apple.

Comparison of DSH Desktop with similar competing products

Dimension DSH Desktop OpenAI Codex
Product Positioning A general desktop wrapper for DeepSeek Harness, designed for multi-scenario agent workflows. OpenAI's official AI programming agent, focusing on software engineering and coding tasks.
Interactive interface A GUI desktop application (Electron) with visual operation and zero command-line learning curve. The CLI terminal interface is the primary interface, accessible via... codex Command interaction, plain text driven
Model support Multi-model out-of-the-box adaptation (DeepSeek, OpenAI, Kimi, Gemini, Anthropic, and 10+ other companies) Only supports OpenAI models (GPT-4o, o3, etc.), and is bound to the OpenAI API.
Deployment mode Local priorityThe Harness service runs locally and only listens to... 127.0.0.1 Cloud-basedThe core inference is performed on the OpenAI cloud; the local machine only serves as the CLI entry point.
Startup method Double-clicking the icon automatically launches the Harness service, including the admin port and lifecycle. Terminal execution codex The command requires manually navigating to the target directory and configuring the API Key.
Work area management Add/switch between multiple project folders via GUI; sessions and workspaces are independently bound. Using the current directory of the terminal as the workspace, a single session can directly manipulate the local file system.
Expanding the ecosystem Harness Plugin System + Preset Square (for sharing scenario-based work recipes, such as research, video, and contract review) Built-in sandbox execution environment + tool calls, no open plugin marketplace or preset sharing mechanism.
Security Mechanism Local sandbox isolation, random loopback port, renderer permission stripping Agent SandboxThe code executes in an isolated environment, requires user confirmation for sensitive operations, and has a rate-limiting reset mechanism.
Target audience Non-technical users, designers, product managers, researchers, and developers Software developers, engineers, and technical users familiar with the terminal
Typical scenarios Content creation, research reviews, contract review, image/video production, general programming assistance Code refactoring, debugging, test writing, full-stack development, code review, and technical architecture design.
open source The MIT license is completely open source.Community-driven, freely modifiable and distributed. Closed sourceOfficially maintained by OpenAI, only a CLI client is provided.
cross-platform macOS(Apple Silicon/Intel)+ Windows x64 macOS + Windows + Linux (Official CLI support for all platforms)

Application Scenarios of DSH Desktop

  • AI-assisted programming and developmentAdd a workspace to your local code project so that the Agent can automatically read the code, generate modules, refactor files, and execute tests, replacing manual terminal operations.
  • Content creation and multimedia productionImporting image and video production modes through the Preset Square allows for a complete production workflow from visual briefing and generation editing to multi-specification adaptation.
  • Scientific research and academic workUsing research evidence models for problem decomposition, paper retrieval and comparison, evidence matrix construction, structured reviews, and research gap analysis.
  • Document and Contract ReviewThe contract review model is used to complete clause review, version comparison, red line suggestions, negotiation briefing and final draft verification, and to retain traceable review evidence.
  • Project Management and Office AutomationThis allows the Agent to automatically organize files, generate knowledge cards, summarize reports, and perform repetitive tasks such as batch renaming or format conversion within a specified workspace.