@deepseek-ai/dsh-client-hmrDev-only hot-reload driver for script-loaded client entries: SSE rebuilt frames → invalidate/prefetch → fiber swap through the vendored Loader entry
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Vision tools · DeepSeek Harness plugins — Page 17
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Find image understanding, screenshot analysis and visual interaction plugins; compare inputs and usage.
@deepseek-ai/dsh-client-localeLocale plugin: Host-backed zh/en preference, browser-derived fallback, locale snapshots, and typed namespace dictionaries
@deepseek-ai/dsh-client-modulesClient module system, dual-face: node half composes the __DSH_BOOT__ entry graph (incremental dsh.client scan, bundle route, index tap, webPlugins service); browser half is the lazy-CJS module table the vendored cordis Loader consumes as its internal seam
@deepseek-ai/dsh-client-runtimeClient core services: SlotRegistry, SessionRuntime (scope tree + object layer)
@deepseek-ai/dsh-client-schema-formSchema/draft model layer for settings editors: rehydrates a serialized schemastery schema, validates drafts, and edits them immutably by path
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input and message-image slots
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentPure React attachment atoms for the dsh web UI: draft-image rail, message image gallery, and original-image lightbox (zero cordis)
@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input, message-image, and trajectory image slots
@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input and message-image slots
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@deepseek-ai/dsh-client-ui-conversationConversation domain: skeleton, ordered chat flow, composer with the Host-backed busy-Enter preference, and details host
@deepseek-ai/dsh-client-ui-deliverablesProduced-files turn tail and clickable final-response file references for Web
@deepseek-ai/dsh-client-ui-directory-picker-browseIn-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives
@deepseek-ai/dsh-client-ui-directory-picker-nativeNative directory-picker surface: the renderless workspace directory-flow occupant driving the host's OS chooser
@deepseek-ai/dsh-client-ui-goalSession goal surface: GoalBar docked above the composer, read from the goal session projection
@deepseek-ai/dsh-client-ui-input-triggerInput trigger pipeline: '/' and '@' detection, candidate menu, pick routing to registered sources
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DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.