dsh-ears
WizisCool
Voice input plugin for DeepSeek Harness (DSH) with text polishing. Supports local GPU Whisper and STT(ASR) API | 一款支持润色整理的 DeepSeek Harness 语音输入插件,为 DSH 提供语音输入能力,支持本地 GPU Whisper 和主流语音识别转写 API
taxueseek4310Updated 5d ago
DeepSeek Harness 插件:原生上传管线上的文件夹按钮 + read_document 文档解析(PDF/DOCX/XLSX)。The folder button on the native upload pipeline, plus the read_document parser.
Practical score
87 / 100
Setup
Ready to use
License
MIT
Language
TypeScript
Copy the command, or hand the whole task to your harness agent.
git clone https://github.com/taxueseek/dsh-files.gitPlease install the DeepSeek Harness plugin "dsh-files" for me. - GitHub repository: taxueseek/dsh-files (https://github.com/taxueseek/dsh-files) - Type: a Cordis plugin (installed into a DSH profile) - The plugin declares a DSH version requirement of 0.2.1-rc.…
A cleaned excerpt from the project's own documentation.
English 简体中文 dsh-files In one line Let the AI actually read the documents you upload — and let your files come back out. The two annoyances it removes You have probably hit both: - You hand the AI a contract PDF or a spreadsheet , and it says "I can't read this file." The file is fine — the built-in read tool only accepts plain text and refuses binary content outright. - You want the AI to look at that attachment you uploaded days ago , but the attachment store is write-only: you cannot browse it, and you cannot pull the file back onto your machine. dsh-files fills exactly those two holes. Read : the AI gets the text out of PDF / Word / Excel. Fetch back : you and the AI both see what is in the store, and you can pull a file back out. What changed in this release - SDK aligned with the host at 0.2.0-rc.2 :…
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WizisCool
Voice input plugin for DeepSeek Harness (DSH) with text polishing. Supports local GPU Whisper and STT(ASR) API | 一款支持润色整理的 DeepSeek Harness 语音输入插件,为 DSH 提供语音输入能力,支持本地 GPU Whisper 和主流语音识别转写 API
demacia1314
⭐ 支持拖拽上传文件/文件夹到 DSH 窗口任意位置;支持远程上传,字节直传服务器会话工作区——部署在服务器上的 DSH 也能像本地一样拖了就发。
dsh-tauri
One-click Tauri 2 desktop distribution of DeepSeek Harness: bundled runtime, no Node.js/pnpm/Docker required, native macOS/Windows/Linux packages.