Declare whether a configured third-party model accepts image (multimodal) input; writes the modality into the owning provider settings and verifies it through runtime model resolution.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ct-jyjntc/dsh-model-modality
DeepSeek Harness plugin to audit and correct llm-pi-ai model capability declarations by probing the endpoint itself: out-of-range maxTokens, contextWindow, reasoning levels, image input.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaomao49/dsh-model-probe
One-click model + reasoning-effort switcher for the DeepSeek Harness web UI: capsule trigger, gradient effort slider with detents, and a premium MAX-state visual.
WeChat Mini Program automated testing for DeepSeek Harness (dsh): selector-addressed actions, build-freshness gates, geometry-first assertions that work on text-only models, and screenshot image blocks on vision routes. 微信小程序自动化测试 dsh 插件:选择器寻址、构建新鲜度门、面向纯文本模型的几何断言、视觉路由附真实截图。
Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:VincentJiang06/dsh-mp-automator
DSH sidebar notebook: notes with a title and a body, image attachments (videos rejected), one-shot clipboard copy of the body, and a single reusable editor dialog.
Paste images into DeepSeek Harness chat and have them read by a free local backend (macOS Vision / Tesseract) before the text-only DeepSeek model answers
Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vuvanmai936-dot/dsh-ocr-bridge
Self-healing guard for the dsh-ocr plugin: re-applies the llm-deepseek adapter OCR seam (and the dsh-ocr package fixes) after a dsh upgrade wipes them. Fail-safe: verifies the patched module loads, rolls back on failure.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DosterBool/dsh-ocr-seam-guard
Direct DeepSeek official vision API bridge for DeepSeek Harness: registers the deepseek-v4-flash-vision-exp multimodal model as a provider route, with base64 inline and Files API image input. 直连 DeepSeek 官方视觉 API 的 DSH 插件
Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wilianyichen/dsh-official-vision
DSH vision bridge (DSH >= 0.1.2-rc.1): when the selected chat model is text-only, attached images are described by a local Ollama VL model (qwen3-vl:8b) with keep_alive VRAM cooling. Install-time patch of dsh-api-session-controller prompt admission + runtime status companion.
Vision tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:nvbb/dsh-ollama-vision-bridge
A canvas the agent draws on and then sees: eyes_render draws text/shapes in the Web GUI, stores the PNG locally, and hands the result back to the model. Windows-only: eyes_ocr reads text via the built-in Windows OCR engine (Windows.Media.Ocr).
Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Renji004/dsh-omni-vision
OpenRouter provider for DeepSeek Harness with a live model list: every model OpenRouter serves, with context sizes, reasoning levels and image input read from its /models endpoint.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Boomerangz/dsh-openrouter-live
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tenglongbohai/dsh-paddle-ocr
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DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
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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.