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DSH-Pet-Companion preview

DSH-Pet-Companion

Fun & Dress-up Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install ToBeWin/DSH-Pet-Companion

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

To install this plugin in DeepSeek Harness, please visit its open source repository https://github.com/ToBeWin/DSH-Pet-Companion.

About this plugin

Long coding sessions or extensive AI conversations can often feel monotonous and isolating. DSH Pet Companion aims to inject warmth and vitality into your DeepSeek Harness interface. By placing a lively, adorable local pet on your screen, this plugin effectively alleviates the loneliness and visual fatigue associated with prolonged use, making every interaction feel a little more companionable. The plugin features sixteen original, high-resolution mascot templates, including beavers, cloud cats, corgis, and twelve more unique characters, each with independent motion and breathing effects. The pet automatically adapts to your light or dark theme and runs completely locally without any network requests. You can freely adjust the pet's size, docking position, and even trigger a short, random greeting in your current language by hovering or clicking, enjoying a delightful interactive experience. For privacy-conscious developers or users who frequently run DeepSeek Harness for extended periods, this is the perfect companion. The pet layer is entirely independent, does not probe the private DOM, and stores configuration data only in the local browser. Whether you seek a moment of solace during work breaks or simply want to add a touch of fun to a dull interface, this plugin perfectly satisfies your needs.

Screenshots

Use Cases

  • Adds companionship during immersive DeepSeek usage
  • Relieves visual fatigue during long coding or chat sessions
  • Needs cute elements to decorate the workspace

Best For

  • Developers using DeepSeek Harness extensively
  • Users seeking emotional companionship or workspace aesthetics
  • Tech enthusiasts valuing privacy and local execution