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dsh-zh-cn-ui

Workflow Updated 2026.08.19

Run the following command in DeepSeek Harness:

dsh plugin install ngk3pori/dsh-zh-cn-ui

Paste the following prompt into your AI chat to install this plugin:

Install in DeepSeek Harness by running dsh plugin install ngk3pori/dsh-zh-cn-ui; the full source is available at https://github.com/ngk3pori/dsh-zh-cn-ui

About this plugin

The DSH (DeepSeek Harness) Web UI ships entirely in English, which means Chinese-speaking users must constantly translate command descriptions, reasoning-level labels, and tool-status text while they work. dsh-zh-cn-ui removes that friction by rendering those high-frequency strings in Simplified Chinese, so you can stay in flow.

The plugin follows a strict "no-source-modification" principle. It wraps window.fetch to intercept and localize command descriptions and model reasoning-level names at the data layer, then layers a MutationObserver-based DOM text replacement for hard-coded English phrases such as Think, Deep diving, permission modes, and tool-row titles. Tool identifiers like Grep, Glob, and Bash are deliberately kept in English so they remain unambiguous in input and debugging contexts. Because the plugin never touches the official DSH node_modules bundle, removing it instantly restores the original English interface.

Ideal for developers who run Agent workflows in DSH Desktop daily and prefer a UI that matches their native language. The footprint is minimal, there are no side effects, and the change takes effect on a simple page refresh.

Screenshots

Use Cases

  • Browsing the DSH Desktop command palette and reading Chinese descriptions for compact, feedback, goal, etc.
  • Selecting model reasoning levels and seeing labels like Off, Minimal, Medium, High in Simplified Chinese.
  • Viewing tool-call status where Think, permission modes, and Session log render in Chinese.

Best For

  • Chinese developers running Agent workflows in DSH Desktop on a daily basis
  • Users who want the DSH interface to match their native language
  • Teams looking for a lightweight, zero-intrusion, easily removable UI localization layer