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。
시각 도구 · 인터페이스 확장
$ 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.
메모리 및 지식 · 시각 도구 · 금융 데이터
$ 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。
스킬 · 시각 도구 · 서비스 연동
$ 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.
시각 도구 · 인터페이스 확장
$ 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.
시각 도구
$ 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.
시각 도구 · 인터페이스 확장 · 개발 도구 · 생산성 도구
$ 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 협업 · 시각 도구 · 금융 데이터 · 서비스 연동
$ 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 협업 · 시각 도구 · 인터페이스 확장 · 생산성 도구
$ 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.
시각 도구
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maxwell-feng/dsh-windows-ocr
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