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unity-dsh-bridge

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install 142gg-GZX/unity-dsh-bridge

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

Run dsh plugin install 142gg-GZX/unity-dsh-bridge in the DeepSeek Harness terminal to install; the source is at https://github.com/142gg-GZX/unity-dsh-bridge . Restart DSH after installation to activate the skill.

About this plugin

The biggest friction in AI-assisted Unity development is the feedback gap: the model writes a script, then you must manually switch to Unity, compile, enter Play Mode, take a screenshot, and feed the result back. unity-dsh-bridge eliminates that loop by bridging DeepSeek Harness directly into the Unity or Tuanjie Editor, letting the AI create scenes, write C# scripts, trigger compilation, enter Play Mode, and capture screenshots in a continuous generate-observe-correct cycle.

The command surface is broad: scene and hierarchy management (new scene, find, create primitives, destroy, transform, toggle active), component add/remove with property read/write, script file writing and directory listing, compile triggering and status checks, Play Mode control with Console log access, static method invocation, screenshot capture, material creation, and scene save/open. All communication is bound to 127.0.0.1 only, with no public internet exposure.

It is well suited for solo developers and small teams working with Unity 2019.4+ / 2020.3 / 2022.3 or Tuanjie 2022.3 who want the AI to handle both coding and visual iteration without constant window switching. The three components (DSH plugin bundle, Unity Editor plugin, and Python client) can be adopted independently for flexible deployment.

Use Cases

  • AI builds scenes, writes C# scripts, and triggers compilation automatically
  • Capture Play Mode screenshots to close the observe-and-fix debug loop
  • Quickly locate and fix errors via Console logs and compile status

Best For

  • Solo developers working with Unity 2019.4+ or Tuanjie Engine
  • Small teams wanting AI to drive both code and viewport together
  • Engineers leveraging DSH for AI-assisted game development