@aerovato/operator-deepseekOperator Memory adapter for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aerovato/operator-memory#85fed0adb6cf9bfaefd4d9199c10d11490cf74a5&path:packages/deepseekDiscover The Best DSH plugins
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@aerovato/operator-deepseekOperator Memory adapter for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aerovato/operator-memory#85fed0adb6cf9bfaefd4d9199c10d11490cf74a5&path:packages/deepseekdsh-dafeiyuA desktop-native BigFish companion driven by DeepSeek Harness session events.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:QCYTSN/dsh-dafeiyu@automagik/genie-dshGenie for DeepSeek Harness: a Genie Bot on the Automagik Bot team that grants wishes, each one a thread working in its own copy of the project, from a fresh base
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:automagik-si/genie#b8441276d680d9cdef114d2f3854551e517100dc&path:plugins/genie-dsh'@automagik/genie-dsh-boardWishes in, PRs out. CLI agent that interviews you, plans the work, dispatches parallel agents in isolated worktrees, and reviews code before you see it.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:automagik-si/genie#b8441276d680d9cdef114d2f3854551e517100dc&path:plugins/dsh-genie-board'@automagik/genie-dsh-workflow-loaderRun a repository's saved .claude/workflows catalog on DSH, by name
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:automagik-si/genie#b8441276d680d9cdef114d2f3854551e517100dc&path:plugins/dsh-workflow-loader'dsh-slidesSlide-deck generation for DeepSeek Harness: slides_generate turns a markdown outline into a self-contained reveal.js HTML deck in the active workspace.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Dominic789654/awesome-deepseek-harness#e6c7fb204ae876bcace655d9d01d93daa8b5a0ac&path:plugins/dsh-slidesdsh-vizVisualization tool for DeepSeek Harness: chart_render turns structured data into a self-contained ECharts HTML artifact inside the active workspace.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Dominic789654/awesome-deepseek-harness#e6c7fb204ae876bcace655d9d01d93daa8b5a0ac&path:plugins/dsh-vizdsh-cost-meterDeepSeek Harness 会话费用统计插件:本会话成本、当日费用、历史记录与官方价格同步,支持多厂商多模型价格计费(内置 90+ 模型价格目录与自动匹配)、主流 Coding Plan 订阅额度查询与显示(11 家,含小米 MiMo Token Plan 控制台 Cookie 查询、SCNet Token Plan 本地 Credits 计量与火山方舟 Volcano Ark Coding Plan AK/SK 签名查询)、自定义 Provider 余额查询(可配任意 HTTP 端点)与余额进度条、峰谷计价时段显示与切换前弹窗/系统通知提醒(位置/提前量/类型可配),界面中英双语。Session cost tracking plugin for DeepSeek Harness: per-conversation cost, daily totals, history and official price sync, with multi-vendor model pricing (built-in 90+ model catalog with auto-matching), Coding Plan quota queries & display for 11 vendors (incl. Xiaomi MiMo Token Plan via console cookie, local credits metering for the SCNet Token Plan and Volcano Ark Coding Plan via AK/SK signature), plan/API dual-track billing with per-1% & full-window Token Plan usage estimates, custom provider balance lookup (configurable HTTP endpoint) and balance progress bar, plus peak/off-peak pricing display with pre-switch popup & system-notification alerts (position / lead time / type configurable), in a bilingual (Chinese/English) UI.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Han-1413141/dsh-cost-meterdsh-harmony-nextHarmonyOS NEXT skill bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:linhay/harmony-next.skills@zseven-w/dsh-iosDeepSeek Harness plugin for the iOS Simulator — build, run, and interact with a live simulator stream inside a conversation. Tested with DSH 0.1.5-rc.1.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZSeven-W/dsh-ios@huiliyi37/dsh-tianshu-tuidsh-tianshu-tui: an interactive terminal UI plugin for the official DeepSeek Harness — streaming markdown/tool cards, 16+ themes, slash commands, session tabs, LSP diagnostics, cost tracking, self-update (`dsh plugin --profile tui add @huiliyi37/dsh-tianshu-tui`)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:huiliyi37/dsh-tianshu-tuidsh-at-fileCodex-style @path references for the DeepSeek Harness web GUI: search workspace paths without injecting file content
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-at-file@deepseek-ai/dsh-acpAutomation-only Agent Client Protocol server for driving DeepSeek Harness agents over JSON-RPC stdio
@deepseek-ai/dsh-api-remotesRemote BFF assembly and Host Agent/Session lookup policy
@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-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-jobsSession-header background-job list: live registry state mirrored from session/jobs frames
@deepseek-ai/dsh-client-ui-model-selectionModel selection: the /model popupSelect over session.models / session.selectModel
@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-sidebarSidebar plugin: session multi-level tree, search, grouping, state dots
@deepseek-ai/dsh-client-ui-workflow-runDurable workflow-run Conversation Node and nested member disclosure for dsh web
@deepseek-ai/dsh-client-ui-workspaceWorkspace picker plugin: one WorkspacePicker registered into the sidebar and empty-state workspace slots
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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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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.