Discover The Best DSH plugins
2403results
Find image understanding, screenshot analysis and visual interaction plugins; compare inputs and usage.
dsh-youreyesEyes for text-only DeepSeek on DeepSeek Harness: image understanding via Antigravity IDE quota (default, flash/pro), OpenAI-compatible VLM endpoints, Gemini API, or local Ollama — model-invokable vision tool, wrapper adapters for deepseek/opencode-go, evidence memory, and a polished client panel.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:54xkeee/dsh-youreyeswavespeed-dsh-skillWaveSpeed skill for DeepSeek Harness (dsh): generate and edit AI media (image, video, audio, 3D) via the open-source wavespeed CLI.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WaveSpeedAI/wavespeed-dsh-skill@b-tq/dsh-wallpaperDSH (DeepSeek Harness) 动态壁纸插件：把本地视频/图片变成全屏动态壁纸，支持效果调节、壁纸切换与 Wallpaper Engine 工坊导入，设置自动保存永久生效。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:B-TQ/dsh-wallpaper@cikian/dsh-cture-imageOpenAI-compatible image generation for DeepSeek Harness: text-to-image, image editing and batch generation, with the pictures rendered straight in the conversation — 通过 OpenAI 兼容接口生图与修图。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Cikian/dsh-cture-image@crazy_th/dsh-computer-useNative Windows Computer Use tools for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ThreeBody6666/dsh-computer-use@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-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, message-image, and trajectory 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-attachmentDynamic attachment presentation plugin for conversation input and message-image slots
@deepseek-ai/dsh-read-imagePlug-and-play image reading for text-only models: admits pasted images, projects them as [Image #N], and provides a first-class read_image tool backed by a configurable vision model, with a 读图 settings page (设置 → 读图) bridged over typert Remote.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:OoWJZZoO/dsh-read-image@deepseek-ai/dsh-vision-localDSH vision bridge: native attachments for image-capable models, image_vision tool fallback for text-only models, plus drag/paste composer intake.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:niushuanan/xiaozhuang-dsh#bb949c3d291ea55d378cc5fdb1b237b4f63127b6&path:plugins/vision@dsh-external/dsh-client-ui-skin-tianlightTianlight skin for the dsh web GUI: Makoto Shinkai daylight skies, a looping video wallpaper, a wallpaper library with upload/rotation, optional WebWallGL scene support, and a draggable Mint chibi-cat desktop companion
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MilkySnowWay123/dsh-client-ui-skin-tianlight@dsh-external/dsh-image-toolsDynamic chat-image bridge, recognition tool, onboarding wizard and failure self-check for text-only models on DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaoxianyu-office/dsh-image-tools@dsh-external/dsh-ocr1-memory基于 DeepSeek-OCR1 光学压缩记忆系统：把记忆渲染为图像存储，支持 SoM 分段、年龄衰减/模糊化、激活召回、DSH Agent 检索
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDFXYqiming/dsh-ocr1-memory@dsh-external/dsh-pdfA DeepSeek Harness (DSH) plugin that reads PDF files of any size (no 64KB limit): full Unicode text extraction (Chinese/English) via pdfjs-dist, with automatic OCR for scanned or image-heavy pages (Windows WinRT OCR zh-Hans-CN + en-US, or optional tesseract.js).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:henryxiao709/dsh-pdf@dsh-user/paste-to-workspacePaste images / drag any files into the DSH composer -> saved into the session workspace as files -> images read by modlens, other files read by the model by path
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LQ-1123/paste-to-workspace@fhl-plugins/dsh-fhl-imageIndependent DeepSeek Harness bundle for FHL Images generation, editing, worker pools, and chat-configured credentials.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:supart/DSH-FHL-Image-Plugin@goodandready/dsh-vision-bridgeFlagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GooDAnDReaDY/dsh-vision-bridge@icedcola/dsh-provider-veark火山方舟 Coding Plan LLM provider for DeepSeek Harness — provider-scoped PDF、图片与 Responses API 流式支持
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:IcedWatermelonJuice/dsh-provider-veark@lhmd/dsh-director-toolkitDeepSeek Harness plugin that turns a 3D idea into a shootable scene brief and publish-ready showcase copy.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lhmd/dsh-director-toolkit@local/dsh-focuscapturedsh-FocusCapture: compact screen capture, screenshot-background text editing, annotations, and always-on-top pinned images.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:janehk416-alt/dsh-FocusCapture@local/dsh-glance一瞥 / Glance：置顶悬浮球 + 框选任意屏幕区域 + 多模态流式分析。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:waterfish111/dsh-glanceUse 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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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.