Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
A conservative intent compiler for Vibe Coders in DeepSeek Harness: clarify messy drafts without inventing details, then fill the result back into the composer.
Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Shhaaawwww/vibe-intent-compiler
Floating, draggable, resizable video scene player for DeepSeek Harness. Plays scene-per-MP4 clips from a Stash-style scene server, plus best-effort YouTube / Twitch / Jellyfin / custom links.
Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:IP050/dsh-video-player
Inline video preview for dsh-better-sidebar: plays .mp4/.webm/.mov/.mkv/.avi etc. in the sidebar editor with HTTP Range (seeking) support via a dedicated /video host route
Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zemul/dsh-video-preview
毒蛇复盘 (viper recap): roast — or toast — the current session from its real event log. A model tool + a viperRecap projection + a 🐍 composer button and floating card.
Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:superrabbit123/dsh-viper-recap
Model-facing analyze_image tool for the DeepSeek Harness: multi-modal image understanding via any OpenAI- or Anthropic-compatible vision API, with 8 analysis modes, local path / http(s) URL / data URL input, and a Web UI hint that guides image-incapable models to the reliable local-path route.
Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Harvey-Will/dsh-vision-analysis
Give a text-only dsh model eyes: pasted images are recognized into text via an OpenAI-compatible vision endpoint (Zhipu free by default) before the message reaches the model.
Persistent vision plugin for DeepSeek Harness: registers the vision_analyze tool backed by a configurable multimodal model, with a settings-page UI. Zero dependencies.
DeepSeek Harness plugin: (1) installs an image-input (input modalities) checkbox into the Models settings catalog so a custom model can declare input:[text,image] and DSH passes images straight to it — the core feature; (2) optionally registers an OpenAI-compatible vision relay provider + vision_analyze/vision_status/vision_test/vision_configure tools. Host-only bundle (no settings card).
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:nexsjournal/dsh-vision-plugin
dsh-vision-plugin: give DeepSeek Harness text-only models a pair of eyes — pasted images are transcribed by a vision model before they reach a text-only main model, plus the vision_analyze tool and a bilingual settings page.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Xin-Zhang-IceMan/dsh-vision-plugin
Native interactive visual-reasoning plugin for DeepSeek Harness: precise pixel grounding (SOM grid, zoom, annotate, measure, diff, color, OCR) + MiMo V2.5 multimodal backend, with zero external MCP servers.
Agent collaboration · Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zouyuanqing/dsh-vision-primitives
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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.