Display images read by the read_image tool inside the DeepSeek Harness Web GUI: a DSH 0.2-compatible dedicated Read image row with a default-expanded message-style image card (PS-style transparency checkerboard) and an in-page full-resolution lightbox. 在 Web GUI 对话流中展示 read_image 读到的图片:兼容 DSH 0.2 的默认展开图片卡(透明棋盘格)+ 页面内全精度放大层。
視覚ツール · インターフェース
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yu-tao-Li/dsh-read-image-view
DeepSeek Harness plugin: configurable vision model with vision_read_image tool, composer-bar vision-model selector, and automatic image-to-text conversion for text-only main models.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Doubao Web by default (zero cost, no API key), Antigravity IDE quota (flash/pro), Gemini API, or Cockpit proxy — model-invokable vision tool, wrapper adapters, evidence memory, and a bilingual client panel.
メモリ・ナレッジ · 視覚ツール · 金融データ
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:54xkeee/dsh-vision
deepseek-aix right-panel system: a faithful port of the dsh-web-ui aionui-panel — the Explorer file tree with filename search, the multi-tab Preview (markdown/html/code/diff/csv/pdf/office/image/text/url), and the drag-a-file-into-the-composer dock, driven by a workspace-gated host filesystem service over /aionui-panel routes
DeepSeek Harness (DSH) vision bridge: let text-only models delegate image understanding to multimodal vision models via the vision_describe tool, with a lean settings page and primary/fallback auto-retry. 视觉桥:让纯文本模型通过 vision_describe 把图片交给多模态视觉模型,带精简设置页与主备自动重试。
スキル · 視覚ツール · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yinxe/dshp#19eb91cd290b5347b07f739a3e5ed7dc14f7c7c0&path:plugins/vision-bridge
Codex-style window capture for DSH Desktop: press both Command/Ctrl keys (or the camera button) to grab the frontmost window on macOS or Windows, attach it to the current chat, and inject available window text as hidden context.
視覚ツール · インターフェース
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WongYuYe/dsh-appshots
Omni-modal workstation plugin for DeepSeek Harness: analyze_image + 6 vision toolkit tools (zoom/sample_colors/image_diff/ocr/detect/show), generate_image, and generate_video (t2v/i2v async-task). Backed by an ordered multi-card list (OpenAI/Anthropic/Gemini protocols; Custom/Ollama plus 28 built-in fixed providers), Tabbed settings (VLM / Image Gen / Video / Mirror / Fallback), single-request failover, mirror model routing, JPEG->PNG re-encode fallback, and an auto-saving web settings page.
視覚ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:huashenglian/dsh-omni-workstation
[DISCONTINUED 2026-09-11: DSH >=0.1.5 ships a built-in workspace file tree + document preview (dsh-client-ui-sidebar-files / sidebar-documentpreview); please uninstall and use the built-in features] VS Code-style workspace file explorer for the DeepSeek Harness web GUI — editable preview with syntax highlighting, tabs and line numbers, full right-click file operations (create / rename / delete / copy / cut / paste / reveal in file manager), inline image & markdown preview, @-mention files into chat, drag files into the composer, per-workspace state with undo. Turns the dsh web page into a lightweight code editor.
視覚ツール · インターフェース · 開発ツール · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Pasumao/dsh-plugin-workbench
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
Agent 連携 · 視覚ツール · 金融データ · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sfyyy/dsh-vision-bridge
Drop or paste images, PDFs, office docs, zips, videos and audio into the DSH composer as workspace file paths instead of model attachments — lets a text-only model agent read them via vision tools.
Agent 連携 · 視覚ツール · インターフェース · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:loudMore/dsh-drop-to-path
dsh plugin: recognize attached images with the built-in Windows OCR engine (Windows.Media.Ocr) and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
視覚ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maxwell-feng/dsh-windows-ocr