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DSH-Decktop is an Electron desktop shell for DeepSeek Harness (DSH), published by JustGenius-s and currently available at version 0.2.0, with two versions released to date. The application serves as a desktop packaging and runtime environment for DSH, designed to simplify the process of installing, running, and maintaining the DSH tooling on a user's machine without requiring manual setup of the underlying JavaScript toolchain. To accomplish this, DSH-Desktop bundles both node and pnpm directly within the application, removing the need for users to install these dependencies separately. On first launch, the shell automatically installs the official @deepseek-ai/dsh package into the ~/.dsh/runtime directory, establishing a dedicated runtime location for the DSH environment. Once the runtime is in place, the application serves the dsh web UI inside a browser window, presenting the harness's interface through a familiar desktop-style experience rather than requiring users to interact with the tooling purely through the command line. In addition to initial installation and interface hosting, DSH-Desktop includes plugin support as well as update support for DSH itself, allowing the runtime to be extended and kept current over time. As a desktop application built on Electron, it falls within the software development and developer tools category, specifically in the area of desktop shells, runtime managers, and tooling frontends. Its primary use cases include setting up DeepSeek Harness on a local machine, running the dsh web UI through a desktop window, managing the DSH runtime under ~/.dsh/runtime, installing and managing plugins, and applying updates to DSH as new releases become available. Because the shell handles dependency bundling, first-run installation, UI serving, and ongoing updates, it consolidates the setup and maintenance workflow for DSH into a single desktop application. The current release, version 0.2.0, represents the second of the two published versions, indicating an early-stage project with active iteration on its feature set.
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