Discover The Best DSH plugins

DeepSeek Harness plugins — Page 742

24650results

Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.

dsh-image-pin-comment

Pin-and-comment annotation for the DeepSeek Harness image lightbox: drop numbered pins, type a note, and the original image plus a coordinate list lands in the composer. 图片图钉标注:在图片上钉图钉写评论,自动生成带坐标的说明一起发出去。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dudhdkebesii/dsh-image-pin-comment
dsh-image-preview

DSH 会话内图片预览服务:把工作区图片通过 HTTP 暴露给会话渲染、文本→图片渲染(双字体防乱码)、SVG→PNG 转换。AI 在回复里贴 markdown 图片 URL,用户直接在对话中看图。

Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:EIGHTfs/dsh-image-preview
dsh-image-preview

Inline previews and clipboard copying for DeepSeek Harness read_image tool calls, including nested Code Mode calls.

Vision tools · Interface extensions · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:leonardoxr/dsh-image-preview
dsh-image-preview

Local image hosting for DeepSeek Harness: serves images from a preview directory over the web profile's own HTTP server so chat messages can render them inline, plus a preview_image tool that stages an existing local image and returns its URL.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ReiRui/dsh-image-preview
dsh-image-preview

Inline previews for the images an agent already produced in DeepSeek Harness: read_image attachments and local paths in any format (HEIC/TIFF/PSD/SVG/BMP/ICO/TGA/PNM/JP2 …), rendered through the official gallery and lightbox.

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tianxia--/Dsh-ImageProview
dsh-image-preview

在 dsh Web 对话正文中直接渲染本地图片路径的插件(host 改写路径 + 极简客户端拦截点击)

Vision tools
dsh-image-read

DeepSeek Harness plugin: structured image analysis via vision APIs (read_image_mimo tool) with Web UI config card. Attachment input moved to dsh-input-enhancement.

Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Triple3h/dsh-image-read
dsh-image-reader

Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zcXie777/dsh-image-reader
dsh-image-router

DeepSeek Harness plugin: analyse images out of band with a vision model — pasted images are digested into text before admission and a describe_image tool covers image paths, all without ever changing the session's model.

Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhiwuli0228/dsh-image-router
dsh-image-settings

User-tunable inline image display for dsh web sessions: a larger, auto-unrolling read_image tool view behind an image-settings section.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:americanjeff/dsh-image-settings
dsh-image-studio

An Images workspace for DeepSeek Harness: one page to generate with fal.ai, browse every result, compare candidates, and animate the winner with Kling image-to-video.

Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:naletko/dsh-image-studio
dsh-image-studio

DeepSeek Harness plugin: an inline conversation image card with a bottom-left edit button (annotate / erase / resize) that hands the edit back to the agent.

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wu81313-lab/dsh-image-studio
dsh-image-tiler

Shows oversized images to the model at a readably high resolution by tiling them before admission.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ssrs-Pro-Max/dsh-image-tiler
dsh-image-to-text

DSH plugin that lets text-only (non-multimodal) models send and read images: bypasses the image admission gate, rewrites image blocks to local paths, and OCRs/describes them via configurable vision API providers (image_to_text tool).

Vision tools
dsh-image-uckkk

图片处理:读取图片尺寸/格式、缩放与格式转换(内置 ffmpeg,跨平台)

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-image-uckkk
dsh-image-understanding

DeepSeek Harness 原生插件:让纯文本模型(如 DeepSeek)经 agent/pre-step 劫持 + resolveModelInfo 包装自动识别上传图片(qwen-vl),使纯文本对话也能“看见”图片。

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:rison114514/dsh-image-understanding
dsh-image-viewer-pro

A proper image viewer for DeepSeek Harness: zoom, pan, rotate, download, copy and gallery browsing for every image the chat renders.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NingYuanLee/dsh-image-viewer-pro
dsh-image-vision

Seamless image understanding for DeepSeek Harness: lets pure-text models read pasted/dropped images and Feishu/Lark images via a configurable vision model, without touching the host.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:VeryInt/dsh-image-vision
dsh-image-webp-to-png

Re-encode WebP attachment request-images to PNG for LLM backends (e.g. llama.cpp) that cannot decode WebP. Fixes the '400: Failed to load image or audio file' error for alpha-channel images.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MrGnUm/dsh-image-webp-to-png
dsh-image2-draw

Image2 (gpt-image-2) generation plugin for DeepSeek Harness with simple relay settings, in-conversation previews, a chat-dock studio (text-to-image / image-to-image / multi-view character consistency) and a reusable prompt/flow preset library. Community fork of JuneLearn/dsh-image2-draw with gateway compatibility fixes.

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:oebeliever/dsh-image2-draw
dsh-image2-tool

DeepSeek Harness bundle that exposes an OpenAI-compatible image relay as the image2_generate tool for text-to-image and image-to-image, with inline media previews.

Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:544244857/dsh-image2-plugin
dsh-imagecraft

image_gen and image_vision model tools for the DeepSeek Harness, powered by the ChatGPT subscription (no API key).

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SPYQWER1/dsh-imagecraft
dsh-imagedit

Local image editing toolkit for DeepSeek Harness: one image_edit tool for deterministic edits — cutout (quick flood-fill or rembg AI), trim, flip, rotate, brightness/contrast/saturation, blur, sharpen, rounded corners, border, canvas resize+center, sprite sheets, and PNG/JPEG/WebP export. Also ships as a skill (SKILL.md + CLI scripts).

Skills · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bbbz123/dsh-imagedit
dsh-imagegen

生成图片:通过 New API 中转站(guaihub 等)调用 OpenAI 风格 /v1/images/generations,并把图片直接显示在 DSH 对话里。

Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dong2007-png/dsh-imagegen

Find the right plugin, then get started

  1. Search by task

    Use a feature keyword or category, then sort by recent updates or GitHub stars.

  2. Explore capabilities

    Read the description, AI analysis and original README to understand what a plugin does.

  3. Check and install

    Review compatibility, dependency ranges and instructions, then copy the available install command.

Questions about DSH Hub

What is DSH Hub?

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.

Does inclusion mean a plugin is tested and compatible?

No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.

How do I install a plugin?

Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.