dsh-sounds
Run the following command in DeepSeek Harness:
dsh plugin install DNNCOVO/dsh-sounds
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install DNNCOVO/dsh-sounds inside DeepSeek Harness to install this plugin; the source repository is at https://github.com/DNNCOVO/dsh-sounds.
About this plugin
When you run AI coding tasks in DeepSeek Harness, you likely juggle multiple tabs or switch to other work. Tasks finish in the background, occasionally fail, or the Agent pops up a question waiting for your approval. Without an audio cue, you end up checking back every few minutes, breaking your flow and risking a missed approval window. dsh-sounds solves this by making your computer beep at the right moment to pull your attention back.
It subscribes to the official DeepSeek Harness event stream and maps three scenarios to three sounds synthesized live in the browser: a cheerful ascending triad (523/659/784 Hz) when a task or turn completes, a low 170 Hz square wave on failure or request error, and a short 880 Hz ping when approval is needed or the Agent asks a question. All sounds are generated in real time via Web Audio oscillators, so there are no audio files, no extra disk usage, and no additional dependencies.
Built for developers who run multiple DSH tasks in parallel while handling other work. After installing, a single click on the page unlocks the browser audio policy, and from then on your computer will chime automatically whenever a task finishes or waits for approval, so you no longer need to keep watching the screen.
Use Cases
- Switching to other code while a background AI task runs, needing an audible cue when it finishes or fails
- Running multiple Harness jobs in parallel, using distinct tones to tell success, error, and approval-wait apart
- The Agent pops an approval prompt while you are looking away, and a short ping pulls your attention back
Best For
- Developers who run multiple AI coding tasks in parallel on DeepSeek Harness
- Programmers who juggle many windows and do not want to watch the screen constantly
- Users who want a lightweight sensory layer on DSH with zero extra dependencies
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