@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input, message-image, and trajectory image slots
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@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input, message-image, and trajectory image slots
@deepseek-ai/dsh-client-ui-brand-officialOfficial DeepSeek Harness brand occupants for the Web client's sidebar slots
@deepseek-ai/dsh-client-ui-chatChat Conversation target, node definitions, renderers, and details surface
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@deepseek-ai/dsh-client-ui-conversationTarget-neutral Conversation assembly, shell, composer, queue, and view navigation
@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-dockkitDocking layout kit: split-tree engine with invertible operations, and the React components that render and drive it (zero cordis)
@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
@deepseek-ai/dsh-client-ui-jobsSession-header background-job list: live registry state mirrored from session/jobs frames
@deepseek-ai/dsh-client-ui-layoutShell plugin: three-column AppFrame with drag handles, ctx.layout viewing-state service (navigation + panels)
@deepseek-ai/dsh-client-ui-message-feedbackThe Web feedback surface: per-message Like/Dislike in the assistant-message action strip and the feedback dialog behind both ratings and /feedback, backed by the messageFeedback and sessionFeedback Host Remotes
@deepseek-ai/dsh-client-ui-model-selectionModel selection over the shared model catalog, Session projection, and session.selectModel
@deepseek-ai/dsh-client-ui-open-in-appWeb Session-header "Open In..." split button opening the session workspace directory in a locally installed application
@deepseek-ai/dsh-client-ui-permission-presetsPermission surfaces: a new-session default in General settings and a current-session /permission popup over the permissions projection
@deepseek-ai/dsh-client-ui-planPlan-mode composer control: the conversation.input.plan seat over the plan projection and the /plan command channel
@deepseek-ai/dsh-client-ui-primitivesPure React atoms for the dsh web UI: controls, icons, markdown, and JSON inspectors (zero cordis)
@deepseek-ai/dsh-client-ui-referenceUnified Web @file and @session reference source
@deepseek-ai/dsh-client-ui-rendererBrowser UI renderer: React slot bindings, ctx.uiRenderer, and the assembled application root
@deepseek-ai/dsh-client-ui-scheduleRead-only active Schedule catalog in the Web Session header
@deepseek-ai/dsh-cmdlineImmutable command-line handoff from a dsh launcher to any app plugin that injects cmdlineArgs
@deepseek-ai/dsh-headlessThe dsh one-shot bundle: a direct core Agent/Session runner over dsh-base with no Host, HTTP, or browser layer
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:deepseek-ai/deepseek-harness#0d1f50007f9bca3f52b06e1c3074fa14d5fb0720&path:packages/bundle/headlessUse a feature keyword or category, then sort by recent updates or GitHub stars.
Read the description, AI analysis and original README to understand what a plugin does.
Review compatibility, dependency ranges and instructions, then copy the available install command.
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No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.