dsh-deepseek-usage-monitorDeepSeek Harness plugin for token usage and account balance monitoring.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:KamChiHei/deepseek-usage-monitorDiscover The Best DSH plugins
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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
dsh-deepseek-usage-monitorDeepSeek Harness plugin for token usage and account balance monitoring.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:KamChiHei/deepseek-usage-monitordsh-deepseek-visionDeepSeek web vision bridge: give text-only DeepSeek models image recognition via a deepseek_vision tool
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Cheng-cheng9669/dsh-deepseek-visiondsh-deepseek-vision-routerTransparent image preprocessing route for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mochgolf/dsh-deepseek-vision-routerdsh-deepseek-webDeepSeek Web LLM provider plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:y-wi/dsh-deepseek-web#da6e03a677ddc42e0a085f69c77930de022e540b&path:packages/plugindsh-default-overridesConfigurable Bash and PowerShell overrides for the DSH standard preset.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:site-chenwei/dsh-default-overridesdsh-dejavu-memoryDeepSeek Harness plugin: DejaVu memory client — automated long-term memory (boot/read/search/create/update/delete) backed by your own DejaVu MCP server.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RealAlexandreAI/dsh-dejavu-memorydsh-delete-sessionDelete sessions from the DSH Web sidebar: adds a Delete action to the session row menu with a risk-consent dialog, then removes the session log, workspace accounting and live session state.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDMUC/dsh-delete-sessiondsh-delete-turnPer-message delete for DeepSeek Harness: remove a user message, one reply step, or a whole assistant reply from the derived model context through the official surface-replace contract, and hide it from the visible transcript without rewriting the append-only log.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDMUC/dsh-delete-turndsh-deliverables-toggleExperimental DeepSeek Harness plugin plan for expandable produced-file lists in finished turns.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zheng16965/dsh-deliverables-toggledsh-designDesign taste your agent can be held to — a design-system skill that constrains the choices, plus design_audit, which measures the rendered page (type scale, WCAG contrast, spacing grid, palette drift) instead of trusting it looked right.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Viger1/dsh-designdsh-design-playbookThin DSH bundle that bridges design-playbook's preview + evidence MCP servers into a DeepSeek Harness profile. Depends on the design-playbook package for the server implementations.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bandersnatch0x/design-playbook#09a0c5298a900ad1306b114b676aa944db01cb8f&path:packages/dsh-design-playbookdsh-design-qa让 DeepSeek Harness 里任何纯文本模型都能读图。识图是按需调用的 tool —— 图片不进主模型上下文,不看就不花钱;附 23 处缺陷的评测集,换模型可自测。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sunxin-ai/dsh-design-qadsh-desk-petDSH 桌面宠物插件 — 金色暗影 Yami(To Love-Ru)皮肤版。非营利,仅供学习交流。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Retr67/dsh-desk-pet-yamidsh-desktopDesktop wrapper for the DeepSeek Harness (DSH) Web GUI.
dsh-desktopOpen-source Electron desktop client for DeepSeek Harness (DSH). Custom UI and interactions on top of the dsh host HTTP API.
dsh-desktopDSH Desktop — 内嵌官方 DeepSeek Harness Web UI 的桌面客户端(含自动更新)
dsh-desktopDSH Desktop — Electron shell around `dsh web` with a Codex-style dark UI
dsh-desktopDeepSeek Harness Desktop - Electron app wrapping the full Web UI with real-time balance display
dsh-desktop-kitSelf-owned desktop shell for DeepSeek Harness (DSH): a small plugin that opens the web surface in a native Tauri window — real macOS fullscreen (decorated window), single instance, window-close-shuts-harness lifecycle. No tray, no bundled Chromium.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MDR-EX1000/dsh-desktop-kitdsh-desktop-launcher一键创建/更新/删除 DeepSeek Harness 桌面快捷方式,图标可自定义切换(默认「deepseek harness桌面快捷方式」)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:acebang0303/dsh-desktop-launcherdsh-desktop-launcher一个轻量的 dsh(DeepSeek Harness)插件:安装桌面双击启动器 —— macOS 上是带官方鲸鱼图标的 dsh.app,Linux 上是 .desktop 入口。零依赖,约 147 KB。(终端命令在独立的 dsh-launcher 包)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LvienOeria/dsh-desktop-launcherdsh-desktop-launcherDSH web plugin: create a one-click Windows desktop shortcut (launcher .cmd + auto browser open + taskbar pin hint) for DeepSeek Harness or any local server, right from the Settings page.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yvesgao/dsh-desktop-launcherdsh-desktop-launcher-win32DSH web plugin: a Windows desktop launcher (custom .ico shortcut) that wakes the dsh web service and opens the browser.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaohaozi12138/dsh-desktop-win32dsh-desktop-notifyDesktop notification plugin for the DeepSeek Harness (dsh): shows a native OS toast when the agent finishes a conversation turn. Zero runtime dependencies; works on Windows (native WinRT toast), macOS (osascript) and Linux (notify-send).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:crazy-L118/dsh-desktop-notifyUse 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.