dsh-pwa-plugin
Run the following command in DeepSeek Harness:
dsh plugin install RaulLazaro/dsh-pwa-plugin
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install RaulLazaro/dsh-pwa-plugin in DeepSeek Harness to install this plugin. Source: https://github.com/RaulLazaro/dsh-pwa-plugin
About this plugin
dsh-pwa-plugin turns the DSH web interface into a genuine installable application. The pain point it addresses is familiar: a web app that collapses the moment the network drops, and a UI that users can never dock alongside their other apps on desktop or phone. The plugin injects a Service Worker registration script and a full PWA Manifest into the host DSH, so static assets are cached locally after the first visit and the interface remains fully renderable offline. The caching strategy is layered on purpose: HTML uses a network-first policy to always serve the latest structure, JS, CSS, fonts, and images go cache-first for speed, and API calls are deliberately never cached so no stale data is returned.
Updates are handled silently. The Service Worker detects a new version in the background and activates it without prompting the user; the next page load picks up the new code automatically. The plugin also ships a set of DSH-branded gradient icons and supports generating PNG variants from the bundled SVGs, covering the format requirements of every major browser.
This is the right fit for anyone running DSH in web mode who wants a near-native entry point for their team or personal use. As long as the environment is served over HTTPS (localhost is exempt for development), a handful of configuration lines is all it takes to give the DSH web interface offline access, one-tap installation, and silent upgrades — without touching any application code.
Use Cases
- Access the DSH web UI in a fully offline environment
- Install DSH as a standalone app on your phone or desktop
- Silently detect and activate new versions without a manual page reload
Best For
- Teams deploying DSH in web mode
- Solo developers seeking a near-native experience
- Users who rely on AI assistants in weak or no-network conditions
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