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
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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.
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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.
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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.
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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.
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Data stored independentlyConversations, plugins, and personal settings are stored outside the application's installation directory, and updating the application will not erase user data.
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Safety reinforcementOnly listen to random events.
127.0.0.1Ports should not be exposed to the public internet; remove Node.js renderer permissions and enable...contextIsolationAnd the sandbox mechanism. -
Mobile phone controlIt supports pairing with mobile phones via local trusted Wi-Fi, enabling continued operation across devices.
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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:
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Download and installVisit the official DSH Desktop website https://www.dshdesktop.com/, download the installation package for your system, and complete the installation.
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First launchDouble-click the icon to launch the application. The Harness service will be automatically initialized in the background on the first launch.
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Configuration ModelClick "Settings" in the lower left corner, select the model service provider, and enter the API Key.
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Add workspaceClick the "+" button next to the workspace and select a project folder as the Agent's working directory.
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Start conversationClick "New Session", select the standard mode and model, enter your requirements, and press Enter to send.
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Use PresetVisit the official website Preset Plaza, copy the installation request, and then paste and import the applicable scenario-based recipes in the client.
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- Developers/Source Code Builders:
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Environmental preparationEnsure you have Node.js 22+ and npm installed, and are using a macOS or Windows x64 system.
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Cloning repository:implement
git clone https://github.com/dataelement/dsh-desktop.gitDownload 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 devYou can then launch DSH Desktop locally for development and debugging. -
Quality inspection: Execute sequentially
npm test、npm run typecheck、npm run buildComplete testing, type checking, and build validation. -
Package applicationRun on the corresponding platform
npm run package:macornpm run package:winGenerate the distribution installation package. -
Installation and useInstall the packaged application, configure the API Key and workspace, and you can start using it.
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DSH Desktop project address
- Project official website:https://www.dshdesktop.com/
- GitHub repository:https://github.com/dataelement/dsh-desktop
DSH Desktop's core advantages
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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.
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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.
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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.
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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.
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Security reinforcement, local priorityOnly listen to random signals each time it starts.
127.0.0.1Set the local port to not expose it to the public network; remove Node.js renderer permissions and enable it.contextIsolationWith 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
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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.
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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.
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Scientific research and academic workUsing research evidence models for problem decomposition, paper retrieval and comparison, evidence matrix construction, structured reviews, and research gap analysis.
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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.
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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.