dsh-img：为 DeepSeek Harness 提供图片理解与本地视觉工具
dsh-img 是 DeepSeek Harness 的社区视觉插件，旨在为纯文本模型提供图片理解能力。它通过接入视觉后端或本地像素工具，实现 `analyze_image` 图片问答、OCR、布局理解及 `vision_ground` 元素定位。插件支持智谱 GLM-4V-Flash、通义 Qwen-VL、Ollama 本地模型及 OpenAI 兼容端点，并内置免 key 的本地工具如 `vision_crop`、`vision_ocr` 等。 安装需 Node.js >= 20 及 dsh 本体，通过 `pnpm add` 安装至指定 profile。使用 API 后端时需将 key 注入
Read Moredsh-unknown-theme：把 DeepSeek 官网视觉搬进 DeepSeek Harness
dsh-unknown-theme 是 ycqaq233 维护的 MIT 协议社区插件，旨在优化 DeepSeek Harness（DSH）Web 工作区的视觉效果，使其更接近 deepseek.com 的官网观感。该插件并非官方组件，采用纯 CSS/DOM/Canvas 实现，零依赖且免构建，支持浅色/深色双主题自适应。其核心功能包括：移植官网 WebGL 流体背景、鼠标交互网格（HeroGrid）、粒子鱼形 LOGO 动画、标题聚光灯效果以及磨砂玻璃质感的 UI 组件样式。 安装推荐通过 git 仓库执行 `dsh plugin --profile web add ycqaq233/dsh
Read Moredsh-tool-describe-image：给 DSH 增加图片理解能力
`sala003/dsh-tool-describe-image` 是 DSH 生态下的 MIT 许可插件，旨在为文本模型赋予图片处理能力。它通过接入任意 OpenAI 兼容视觉端点（如百炼、智谱等），将图片转化为文字描述或结构化 HTML，供 DeepSeek 使用。核心功能包括：Web 界面粘贴即识别、按路径调用工具描述图片、查询 DeepSeek 账户余额，以及提供可定制的鲸鱼娘桌宠入口。插件支持零配置启动，后续可通过环境变量或设置面板补配 API Key。安装需 DSH 0.1.0-rc.6+，通过 npm 全局安装并启用。支持 PNG、JPG、WebP、GIF 格式，单张上限 8Mi
Read Moredsh-vision：为 DSH 增加视觉能力的插件
`dsh-vision` 是由 `xiaoshihou514` 维护的 DSH 原生插件，旨在为 DeepSeek Harness 补充视觉能力。该插件采用极简设计，核心功能包括增加视觉支持、调用免费的 Zhipu 接口以及使用本地 Qwen-VL 2B 视觉小模型。安装时需先部署 DSH 本体（要求 Node 引擎 ^22.19.0 || >=24 及特定 peer dependencies），插件以 MIT 许可证发布。需注意，README 中提供的安装命令引用了错误的插件地址 `dsh-weixin#main`，在维护者修正前不应直接执行该命令用于安装 `dsh-vision`。该插件适
Read MoreDS-Vision-Plugin: A Web Image-to-Text Plugin for DeepSeek Harness
ds-vision-plugin is an open-source plugin designed for DeepSeek Harness, aimed at addressing the issue that text-based models cannot directly process image inputs. The plugin automatically converts pasted or dragged images into text within the web interface for DeepSeek models to continue reasoning, eliminating the need for users to manually switch tools or models. Its core features include support for a four-model racing mechanism (such as the agnes and glm series) to achieve fast and reliable first valid responses; routing support for Baidu OCR or local Tesseract, with fallback to a vision-language model when unavailable; and the ability to integrate custom OpenAI-compatible models or local runtimes (Ollama/LM Studio). Additionally, the plugin offers comprehensive diagnostic tools and YAML hot-reload functionality.
Read Moredsh-visual-plugin: Enhancing Image and Video Understanding for DSH Web UI
dsh-visual-plugin is a visual media plugin developed by jyh20030112 for the DeepSeek Harness Web interface. Images are processed through the DSH native attachment system and the current visual model pathway, with a right-side panel recording reproducible description histories. Videos undergo validation via FFprobe, H.264 normalization, and keyframe extraction using PySceneDetect before being submitted to the model for analysis. The installation command is `dsh plugin --profile web add dsh-visual-plugin`, with video functionality requiring the host machine to have FFmpeg >= 6.1 and PySceneDetect 0.7.x pre-installed. Licensed under MIT, with zero runtime npm dependencies.
Read Moredsh-media-skills: Enhancing DeepSeek Harness with Free Image Recognition and Generation
dsh-media-skills is a DSH plugin maintained by MJorgin (MIT, v0.3.0), supporting rc.7/rc.8/v0.1.1-rc.x. It offers automatic captioning for stickers, vision-review for image reading, and media-tools for image generation. The vision routing includes GLM-4V-Flash and DeepSeek-V4-Flash-Vision-Exp, while image generation utilizes SenseNova U1 Fast and Kolors. API keys are not stored in the repository, and the installation command is `dsh plugin --profile <name> add github:MJorgin/dsh-media-skills`.
Read MoreModLens: Augmenting Pure Text Models with Visual Capabilities
ModLens is a DSH vision plugin maintained by liustack (MIT, v3.25.0). After pasting an image, an independent vision engine generates structured JSON evidence for OCR, layout, and semantics, which can be used by pure text models like DeepSeek and GLM for answering. It supports both direct pasting and the (modlens vision) model paths, with six built-in providers and the ability to reuse local CLI login states. DSH installation command: npx -y @deepseek-ai/dsh plugin --profile web add @liustack/modlens@3.25.0.
Read MoreGive Pure Text DeepSeek Harness Agent Eyes with dsh-vision-router
dsh-vision-router is a DeepSeek Harness vision routing plugin maintained by ysr666: the vision model serves only as the eyes, while DeepSeek continues reasoning. It features a built-in key-free OVH vision link and includes 14 pixel-level tools (Q&A, localization, cropping, pixel comparison, OCR, etc.). With a one-command installation, you can click "👁 Vision" before sending an image to perform multi-step image recognition just like using regular tools. This article verifies the installation command, tool list, and usage notes based on the SkillHub directory page and GitHub README.
Read MoreEquip Plain-text DeepSeek Harness Agent with "Eyes" Using dsh-vision-router
### 版本1（正式学术/技术文档译法，适配海外开发者语境）： DSH-Vision-Router is a DSH tool and capability plugin (MIT License, v1.4.4) maintained by ysr666. It treats vision models as its "eyes" and DeepSeek as its "brain", and provides free-key-free anonymous fallback service from OVH by default, along with 11 pixel-level tools including question answering, positioning, cropping, pixel comparison and OCR. This article verifies the installation commands, usage of automatic image recognition model groups and permission precautions in accordance with the community directory and GitHub README. --- ### 版本2（更贴合国内开源项目对外宣传的自然译法）： Maintained by ysr666, DSH-Vision-Router is a DSH utility and capability plugin under MIT License (v1.4.4). It takes vision models as its "eyes" and DeepSeek as its "brain", offers free anonymous fallback service powered by OVH by default, and has built-in 11 pixel-level tools such as Q&A, positioning, cropping, pixel comparison and OCR. This article checks the installation commands, usage of the automatic image recognition model suite and permission notes against the community repository and GitHub README.
Read MoreAdding Visual Capabilities to DeepSeek Harness Plain Text Model Using dsh-vision-toolkit
DSH Vision Toolkit is a DeepSeek Harness interface enhancement plugin maintained by Anionex, which connects agent-vision-toolkit to Web/Headless Profile. After pasting images with a plain-text model, users can switch to the Vision Toolkit variant to complete intent-based image question answering, element positioning, long-screenshot OCR and UI restoration with pixel comparison. The directory installation command is `dsh plugin add github:Anionex/dsh-vision-toolkit`, it is licensed under MIT, and the current npm version is 0.1.20.
Read MoreAdd Vision Capabilities to the Plain-text Models of DeepSeek Harness with ModLens
ModLens is a DeepSeek Harness visual plugin maintained by Liustack (MIT License, version 3.18.1 at the time of writing). When plain-text DeepSeek/GLM cannot recognize screenshots, it registers the `modlens_read_image` function to convert pasted images into JSON containing OCR results, layout information and semantic data. This article verifies the installation command, two image pasting paths, engine configuration and output contract according to the community directory and GitHub.
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