dsh-attachmentDrag-and-drop file and folder attachments for the DeepSeek Harness Web UI
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WJZ-P/dsh-attachments最高の DSH プラグインを見つけよう
2403件
画像理解、スクリーンショット分析、視覚操作プラグインの入力条件と使い方を比較できます。
dsh-attachmentDrag-and-drop file and folder attachments for the DeepSeek Harness Web UI
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WJZ-P/dsh-attachmentsdsh-clean-desktop-shellClean desktop shell for DeepSeek Harness (DSH) as a DSH plugin — wraps your web profile in a native window, tray-managed backend, offline auto-reconnect, zero visual changes. DSH 插件形态的纯净桌面壳:复用现有 web profile,托盘管理后端,零视觉改造。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Icather/dsh-clean-desktop-shelldsh-custom-brandCustomizable brand area for the DeepSeek Harness web GUI: replace the whale logo and the DeepSeek wordmark with local images, and edit the HARNESS badge text — double-click to change, right-click to reset. 自定义 DSH 左上角品牌区:logo 与 DeepSeek 文字可换本地图片,HARNESS 徽章文字可双击编辑。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:baisama-cloud/dsh-custom-branddsh-mc-agentAI-assisted Minecraft for DeepSeek Harness: drive an autonomous Mineflayer agent (survival, mining, chat, live map) with vision/control tools, plus a built-in launcher (Microsoft sign-in, version download, game launch).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hellosky983/dsh-mc-agentdsh-media-skillsFree image reading (vision) and image generation skills for DeepSeek Harness — Zhipu GLM-4V-Flash (Google Gemini optional) for reading, SiliconFlow Kolors for generation.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:akqwpeter-prog/dsh-media-skillsdsh-medomniMedical imaging specialist tools for deepseek-harness: MAIRA-2 and MedGemma report generation for chest X-ray/CT/MRI/retinal (fundus) images, TotalSegmentator organ segmentation, BiomedCLIP zero-shot ultrasound classification, and BiomedParse text-prompted segmentation across X-ray, CT, MRI, ultrasound, and retinal (fundus) images.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bowang-lab/dsh-medomnidsh-mimo-agent-toolsXiaomi MiMo search + multimodal tools for DSH agents (mimo_search/vision/audio/video/asr/tts) plus the merged voice UI: 🔊 read-aloud, in-conversation speech strips, and a configurable voice map (docs/adr/0001).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ch1bug/dsh-mimo-agent-toolsdsh-ocr-localLocal OCR fallback for DeepSeek Harness (Web): when the routed model cannot accept image input, a pasted image is saved locally and its text read by PP-OCRv5 + ONNX Runtime — fully offline, no vision model required. / DeepSeek Harness 本地 OCR 兜底插件(Web):当接入的模型不支持图片输入时,自动把图片存到本地并用 PP-OCRv5 读出文字,完全离线。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add dsh-ocr-localdsh-resumeMarkdown campus resume workbench: the agent edits resumes and CSS templates under jobhunt/, and the user previews and exports from the sidebar.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:L3n3L/dsh-resumedsh-ronaldo-petDSH 桌宠 bundle 插件(v2.3)。住在 Web 界面右下角的精灵宠物 + 一个独立于浏览器的原生桌面窗口:随 Agent 工作状态切换动作(对话中专注工作、回合思考、等待审批、出错摔倒),对话完成时跳跃庆祝并全机播放提示音。原生桌面窗口最小化/关闭网页也照样存在,悬停显示当前工作区与对话名,双击用 Edge 打开 Harness 网页。内置多宠物注册表(跨重启保留)、每宠物独立音频、素材 HTTP 路由与注册即校验(严格防图片错位)。配套技能 dsh-pet-forge 可一句话生成并导入新宠物(生图模型 + Blender 3D 建模 + 动作/音效设计),也能直接导入视频(抽帧 + 抠绿幕 + 按动作切分)。v2.1 新增宠物社区:按 DPSL-1.0 开放共享协议发布到 GitHub 的桌宠会被自动收录,可在插件内置画廊里浏览、下载、一键安装。v2.3 适配 DSH 0.2 桌面版:修好桌面端庆祝音效(0.2 起默认组合不再提供 ctx.shell,改为 shell 不可用时直接 spawn powershell),并新增单击挑衅动作(pet.json 的 interactions.clickAnim,播完自动回落)。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Stellum-Waq/dsh-pet-ronaldodsh-tavern-comfyDSH Tavern 剧情配图插件,支持 ComfyUI、NovelAI、OpenAI Images、Gemini 等渠道。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:weixinlll/dsh-tavern-imagedsh-tool-visionLightweight vision assist preset and CLI for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Flora233333/dsh-minimal-visiondsh-wallpaperWallpaper Engine integration for the dsh web GUI: scan the local Wallpaper Engine library (Steam workshop 431960 + local projects), use its wallpapers as the page background (image / video / web / scene-preview), and control them from a right-side '壁纸设计' panel (opacity, scope, fill, blur, vignette, fps, parallax, carousel, theme linkage). Agent tools wallpaper_scan / wallpaper_list / wallpaper_set / wallpaper_config.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:codeMonkey-Pine/dsh-wallpaperdsh-wallpaper-engineTurn your Wallpaper Engine collection into DSH chat backgrounds. Auto-discovers Steam Workshop and local projects, plays video/image/scene wallpapers live, with glassmorphism UI customisation and carousel auto-rotation.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TianYa-DAO/dsh-wallpaper-engine#415a8f78228f8a20c5f1b023de2e31affed4948c&path:packages/dsh-wallpaper-engine@crosery/dsh-viewerRenders images, video, audio, PDF and Office documents inline in the dsh web UI through a display_file tool, streaming bytes over a signed HTTP route with range support.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Crosery/dsh-viewer@deepseek-ai/dsh-tool-describe-imageModel-facing describe_image tool: asks a vision-language model at an OpenAI-compatible endpoint to describe an image file or URL
@dsh-external/dsh-conv-exportdsh-conv-export(对话导出)— export the current DeepSeek Harness conversation as Markdown, single-file HTML, PDF, or a long PNG image, or copy it as Markdown; batch-export historical sessions as a Markdown ZIP.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:beijingwahw/dsh-conv-export@f1star/dsh-researchA DeepSeek Harness research workspace with archived PDF reading, optional OCR, human review, cited reports, and recoverable research tasks.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:F1star/dsh-research@goodandready/dsh-image-genImage generation for DeepSeek Harness: a generate_image tool with pluggable providers — the FAL queue, any OpenAI-compatible images API, or a ChatGPT/Grok subscription with no API key at all. The picture is shown inline in the conversation; the model receives either a link (works with any chat model) or the image itself (needs dsh-vision-bridge or a vision-capable model).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GooDAnDReaDY/dsh-image-gen@iasiv5/dsh-skinsDSH Web 皮肤插件:多套品牌皮肤侧栏热切换。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:iasiv5/dsh-skins@kbpoyo/dsh-image-bridgeDSH Web plugin that lets text-only models see images: paste images in the chat and send without file paths; the model discovers its own vision tools. Multimodal models pass through natively.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kbpoyo/dsh-image-bridge@runzhliu/dsh-browser-desktopMovable, resizable Chromium desktop embedded in the DeepSeek Harness Web UI through noVNC.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:runzhliu/deepseek-harness-docker#7befa374f629de1facdcf1a7496e578d61404302&path:plugins/dsh-browser-desktop@yogemow/deepseek-prism-dshDeepSeek Prism for DeepSeek Harness (DSH): prism_see tool + text-only/image model admission (native pass-through or VEP/2 conversion) + runtime skill + settings card (provider incl. deepseek-vision, deployMode, visionModelHandling). Unified bundle — optional harness patch for original display + fold/progress UI.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YOGEMOW/DeepSeek_Prism#18f3b80fa54753b7c4596d4e6e37bf5d36ffd8ae&path:packages/plugin-dshdeepseek-desk-petAlways-on-top DeepSeek Harness desk pet with a native menu and DIY skins. Shows what your agent is doing: working, waiting, finished, failed. Five skins, or make your own from one image. No dependencies.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:anneheartrecord/dsh-desk-pet機能のキーワードやカテゴリで絞り込み、更新日や GitHub Star で並べ替えます。
紹介、AI 分析、元の README を読み、プラグインの機能を確認します。
互換性、依存関係、手順を確認し、利用可能なインストールコマンドをコピーします。
DeepSeek Harness のコミュニティプラグイン集です。紹介、ソースへのリンク、インストール手順をまとめ、拡張機能の検索と比較を支援します。
いいえ。詳細ページは記録された互換性と依存関係を表示します。不明は互換性ありを意味しません。導入前にプロジェクトの文書を確認してください。
詳細ページのインストール欄を開き、コマンドがあれば Harness 環境で実行します。ない場合はプロジェクトの README に従ってください。