@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
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Agent collaboration · DeepSeek Harness plugins — Page 58
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Explore agent orchestration, multi-agent collaboration and task execution plugins.
@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-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@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-brand-officialOfficial DeepSeek Harness brand occupants for the Web client's sidebar and conversation Hero slots
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@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-conversationConversation domain: skeleton, ordered chat flow, composer with the Host-backed busy-Enter preference, and details host
@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-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-deliverablesProduced-files turn tail and clickable final-response file references for Web
@deepseek-ai/dsh-client-ui-deliverablesProduced-files turn tail and clickable final-response file references for Web
@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-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-browseIn-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives
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What is DSH Hub?
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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No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
How do I install a plugin?
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.