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DSH Desktop vs DSH Desktop

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

DSH Desktop

Open source · MIT

A desktop app that runs the DeepSeek Harness agent locally, with model choice, phone access and PPT generation

DSH Desktop

Open source · MIT

A Windows and macOS desktop app that wraps the DeepSeek Harness web UI and plugin system.

The short answer

Choose DSH Desktop if you need…

  • People who want to run the DeepSeek Harness agent as a regular desktop app on macOS or Windows x64
  • Users who want to switch between official DeepSeek models and third-party model providers
  • Users who want to continue agent sessions from a paired phone
  • People who need editable PPTX decks generated from source material

Choose DSH Desktop if you need…

  • People who want to run DeepSeek Harness without using the command line
  • Windows or macOS users who want a desktop window and tray icon for DSH
  • Plugin authors who want to integrate with the DSH desktop services
  • Users who want to browse and install DSH plugins through the built-in market

Side-by-side

DSH DesktopDSH Desktop
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars17.1k34.5k
Setup difficultyBeginnerBeginner
How you get itDownload the appDownload the app
Main languageJavaScriptTypeScript
Last code update4 days ago4 days ago

What each one is

DSH Desktop

DSH Desktop is a desktop application that packages the DeepSeek Harness agent runtime as an installed program, so you do not need a separate command line or browser tab to start it. It keeps profiles, plugins, workspaces, model settings and sessions outside the app folder. The README describes it as an early preview, and it is offered in open-source and enterprise editions.

DSH Desktop

DSH Desktop is a native desktop client for Windows and macOS built on the DeepSeek Harness (DSH). It starts and manages the local Harness service, provides a window, system tray, terminal, updates and work profiles, and runs the upstream web UI inside the app. It is an independent community project and is not affiliated with DeepSeek.

Best for

DSH Desktop

  • People who want to run the DeepSeek Harness agent as a regular desktop app on macOS or Windows x64
  • Users who want to switch between official DeepSeek models and third-party model providers
  • Users who want to continue agent sessions from a paired phone
  • People who need editable PPTX decks generated from source material

DSH Desktop

  • People who want to run DeepSeek Harness without using the command line
  • Windows or macOS users who want a desktop window and tray icon for DSH
  • Plugin authors who want to integrate with the DSH desktop services
  • Users who want to browse and install DSH plugins through the built-in market

Strengths

DSH Desktop

  • Installs as a normal desktop app with a guided startup, so no separate CLI is needed
  • Includes a Safe Mode that temporarily blocks third-party plugins to help recover from broken plugins
  • Stores profiles and sessions in the per-user data directory, and the README says they are preserved across upgrades

DSH Desktop

  • Installs with a download and needs no separate Node.js setup, according to the README
  • Keeps the web service bound to localhost by default
  • Open source under the MIT license

Not ideal for

DSH Desktop

  • Linux users, since the README lists Linux as not currently supported
  • Windows ARM64 users, since the README lists it as not currently supported
  • People who need a stable, production-grade tool, since the README calls it an early preview built on a rapidly evolving framework version

DSH Desktop

  • Linux users, since the README lists official installers only for Windows x64 and macOS Universal
  • Anyone who needs LAN access to a shared machine without authentication, because the README warns that LAN exposure has no auth
  • People who want to work on the core DeepSeek Harness engine, since the README points them to the upstream repository

Trade-offs

DSH Desktop

  • The README labels it an early preview, and preview releases may be incompatible with community plugins
  • Phone remote access depends on Cloudflare or Pinggy tunnels; the Pinggy fallback expires after about 60 minutes
  • Only macOS and Windows x64 are listed as supported platforms

DSH Desktop

  • Official installers cover only Windows x64 and macOS Universal in the README
  • LAN access is optional but has no authentication, so it must be used carefully
  • The README is long and split across many documents, so the full setup and troubleshooting details sit in separate files

Getting started

DSH Desktop

Download the stable release from the official website

https://www.dshdesktop.com/#download
Step-by-step guide: how to use DSH Desktop

DSH Desktop

Download the Windows installer or macOS DMG from the project site

https://www.dshdesktop.cn
Step-by-step guide: how to use DSH Desktop

Frequently asked questions

What is the difference between DSH Desktop and DSH Desktop?

DSH Desktop: A desktop app that runs the DeepSeek Harness agent locally, with model choice, phone access and PPT generation. DSH Desktop: A Windows and macOS desktop app that wraps the DeepSeek Harness web UI and plugin system. DSH Desktop suits people who want to run the deepseek harness agent as a regular desktop app on macos or windows x64, while DSH Desktop suits people who want to run deepseek harness without using the command line.

Are DSH Desktop and DSH Desktop free?

DSH Desktop: Free and open source. DSH Desktop: Free and open source.

Is DSH Desktop or DSH Desktop more popular?

DSH Desktop has more GitHub stars (34.5k) than DSH Desktop (17.1k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to DSH Desktop and DSH Desktop?

Other options people compare them with include CowAgent, dsh-market, Reasonix.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.