dsh-wallpaperWallpaper skin for the DeepSeek Harness web UI: image background with opacity, mask and blur controls.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RexCue/dsh-wallpaperDiscover The Best DSH plugins
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Find image understanding, screenshot analysis and visual interaction plugins; compare inputs and usage.
dsh-wallpaperWallpaper skin for the DeepSeek Harness web UI: image background with opacity, mask and blur controls.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RexCue/dsh-wallpaperdsh-web-enhancedWeb-enhanced plugin for DeepSeek Harness: task board with cron scheduling, git graph, preview/files/SCM right panel, DeepSeek balance line, and image understanding for text-only models
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:banlanzs/dsh-web-enhanceddsh-wechatBridge WeChat (iLink bot) to DeepSeek Harness (DSH)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pan17/dsh-wechatdsh-wechat-mp-studioWeChat Official Account content studio for DeepSeek Harness: anti-homogenization writing methodology, blessing-image visual baseline, gpt-image cover pipeline with OCR acceptance, interaction rules, and the measured xiaolvshu (newspic) draft web API.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:FuncWei/dsh-wechat-mp-studiodsh-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-youreyes@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@baconbao/dsh-mermaid-image-previewA DeepSeek Harness Plugin for Previewing Mermaid Diagram by Images in Chat Sessions. View on GitHub (https://github.com/baconbao/dsh-mermaid-image-preview).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:baconbao/dsh-mermaid-image-preview@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@dickpy/dsh-imagegenAI 生图 (image generation) plugin for the dsh web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint (gpt-image-2 / gpt-image-1 / dall-e-3), with a settings card for api_url / api_key and a sidebar entry opening a split-pane generation studio.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dickpy/dsh-imagegen@dsh-external/dsh-conv-exportdsh-conv-export(对话导出)— export the current DeepSeek Harness conversation as Markdown, PDF, or a long PNG image.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:beijingwahw/dsh-conv-export@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-plugins/4uDSH Plugins 4U 总插件:在设置中展示本仓库的自定义插件目录
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:honghudavy-star/DSH_plugins_4U@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@dttxorg/deepseekeyesAuditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dttxorg/deepseekeyes@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@hackerfish/dsh-video-studio鲸影 DSH Video Studio:DSH 原生视频/漫剧生成插件(七段导演流水线 × 多账号额度池 × 提示词自优化 × 自我审计)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hackerFish/dsh-video-studioUse 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.