ShuiHan268/dsh-qwen-mm-plugins2

dsh-qwen-mm-plugins

为 DeepSeek Harness 集成 Qwen-MM-Plugins。提供12个 MCP 多模态工具(涵盖视觉、OCR、定位、语音识别及音视频处理)、Web 设置页面、内置技能及一键安装程序。

AI 分析

核心用于为 DSH 引入多模态处理能力,实现图像识别、OCR、音视频转录及文档解析。适合需要处理多媒体文件的用户。需配置 Qwen API Key 并满足 Node >= 18 等环境要求。

套件
dsh-qwen-mm-plugins
版本
0.1.0
授權
Apache-2.0
最近更新
2026年8月17日

安裝

此插件尚未提供可驗證的 bundle,或相容性檢查未通過。請先閱讀倉庫說明。 閱讀完整 README ↗

Usage

Once capabilities are installed and enabled, you don't select them manually — just describe what you want in plain language and attach files with @; the model calls the right tools for you.

Common examples:

What you wantJust say
Look at an image@photo.jpg what's in this image?
Extract textextract the text from @scan.png with OCR
Transcribe audiotranscribe @meeting.wav into timestamped subtitles
Meeting with speakerstranscribe @meeting.mp4 with speaker labels
Video highlightssummarize @lecture.mp4 by timeline
Read documentssummarize page 3 of @report.pdf and extract the tables (needs core installed)

Three things to remember:

  1. No capability picker: each enabled capability's tools are in the model's catalog; api works out of the box once the Qwen API Key is saved.
  2. Use a new session: after installing or enabling a capability, start a new session so the new tools are fully available.
  3. Check status anytime: send /qwen-mm caps in the chat, or open Settings → Qwen 多模态 to see each capability as "not installed / disabled / enabled".

Notes: core and video-memory need a one-click install first (dependencies take 1–2 minutes); search also needs a Serper/Exa/Tavily key; blender and freecad need those apps installed locally; audio/video tools need ffmpeg.