Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
DeepSeek Harness client plugin: paste a screenshot, draw on it in an overlay (pen, arrow, rectangle, ellipse, text), and file the annotated PNG into the conversation as a normal attachment.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:thezavtrak-a11y/dsh-image-annotate
DeepSeek Harness plugin: transcodes images to a base64-safe format (PNG) before a vision request, fixing gateways like LM Studio that reject non-PNG/JPEG/GIF data URLs with "'url' field must be a base64 encoded image."
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pureexe/dsh-image-base64
Give text-only models eyes: an analyze_image tool for DeepSeek Harness, backed by free Chinese vision APIs (GLM-4V-Flash / Qwen-VL) or any OpenAI-compatible vision endpoint. 给纯文本模型装上眼睛。
Agent collaboration · Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gmleong/dsh-image-bridge
Let image-incapable LLM models receive image messages in DeepSeek Harness (dsh): replace image blocks with text placeholders + local paths, then describe via a vision script (qwen)
Paginated image viewer for DeepSeek Harness: open a set of images in one pageable viewer, zoom and pan each image independently, reorder them by dragging the filmstrip, and browse the session workspace from inside the panel.
Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ChordXD/dsh-image-compare
Recover a DSH visual-model session when an upstream gateway rejects a request for carrying too many images: offload the oldest image occurrences to text placeholders and retry the step.
Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MacilyDots/dsh-image-count-guard
DeepSeek Harness plugin: image generation through a configurable, provider-agnostic backend. It mounts the bundled stdio MCP server behind an NDJSON bridge, exposing mcp__image_generation__image_generate and mcp__image_generation__image_config_status, and registers the bundled image-generation skill.
Skills · Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bauerelizabeth07139/image-gen-mcp
Session image payload governor for DeepSeek Harness: audit which images a session still ships, pick the ones to keep, and move the rest out of the model context.
Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:2432450223/dsh-image-governor
DeepSeek Harness plugin: trims the oldest images from outgoing chat requests and, when the provider rejects the image count with HTTP 400, parses the limit from the error and retries with fewer images. · DSH 插件:裁剪即将发出请求中的历史图片,并在上游因图片数量返回 400 时解析该上限并按更少的图片重试。
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mafeis/dsh-image-guard
Inlines each image block only in the request where it first appears, then swaps it for the harness's own placeholder text on every later request. On by default for every provider; each provider can be switched off or limited to specific models from the plugin page.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:senyayume/dsh-image-once
DeepSeek Harness Web GUI 输入框 📎 选图按钮:通过系统文件选择器添加参考图,绕开拖拽环境问题,复用官方附件管线(缩略图/上限校验/随消息上传)。Image-picker button for the conversation composer.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liujia-io/dsh-image-picker
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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.