Plugins
Browse, filter, and install DeepSeek-Harness plugins.
167 plugins found
macos-computer-use-kit (dsh)
sur-cai/macos-computer-use-kit
AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus and apps, set-of-mark screenshots, on-device OCR and verified actions — 11 tools bridged to the macos-cu CLI.
dsh-free-vision
fuzzysoul/dsh-free-vision
Free vision bridge for text-only models: image understanding, OCR, UI and debug analysis via free-tier providers (Qwen3-VL-Flash, Doubao, DeepSeek-OCR) with a settings GUI.
dsh-vision
54xkeee/dsh-vision
Vision for text-only DeepSeek via Doubao Web by default (zero-cost, no API key — drives your logged-in Chrome through a Windows CDP bridge), with Antigravity IDE quota (flash/pro) or Gemini fallback; auto detail escalation, vision evidence memory with compaction rehydration, content-hash cache, and a bilingual client panel.
dsh-vision
linenxi-ctrl/dsh-vision
External vision plugin for DeepSeek Harness: whale-button config panel, image recognition with auto-reply, and agent screenshot/recognize tools.
dsh-artcraft
ninkch/dsh-artcraft
Drives the open-source ArtCraft studio suite (17 apps including PhotoCraft, FilmCraft and PdfCraft) from DeepSeek Harness: agent tools, a same-origin HTTP API, a bundled craft skill pack, and plugins-page status with self-update. The ArtCraft apps are not bundled: install them separately so the plugin can find their CLIs (auto-discovery, artcraft.config.json or PATH).
dsh-omni-workstation
huashenglian/dsh-omni-workstation
Omni-modal workstation for DSH: analyze_image over an ordered multi-card VLM failover chain, a six-tool vision toolkit (zoom, colour sampling, pixel diff, OCR, element detection, inline display) sharing the same image resolver, generate_image over OpenAI/DashScope/ComfyUI protocols, multi-card async generate_video with a /build-video-tool builder, and speak/clone_voice TTS over seven providers, all driven by one auto-saving settings page.
dsh-zotero-skill
eason-0712/dsh-zotero-skill
Zotero skill for DeepSeek Harness: page-anchored Q&A, full-text translation and close reading, native highlights and Chinese notes, bilingual PDF and paragraph Markdown, evidence comparison tables, and reviews with citation tracking; finds papers on OpenAlex or Crossref, imports Chinese CNKI export files, classifies the library into research-direction folders, surfaces research gaps, and runs a ranked daily digest of new papers. Python-based (basic library management uses the standard library; the reading workflow downloads its PDF/OCR components on first use); writes need a one-time Zotero authorization, and daily scheduling is Windows-only. Adapted from the OpenAI MIT Zotero plugin.
dsh-artcraft (plugin-photocraft)
lznnnnn1998/dsh-artcraft
Drive PhotoCraft from the agent: open and create documents, work with layers and selections, apply adjustments and filters, run batch actions, then save or export PSD, PNG, JPG, TIFF or WebP. Exposes PhotoCraft's command ids and its MCP server. Requires the matching ArtCraft app CLI installed locally; it is not bundled.
dsh-ocr-local
grelvan/dsh-ocr-local
Local OCR fallback for text-only routes: when the session model declares it cannot accept images, the attached image is cached locally and its path injected so the model can call ocr_image — PP-OCRv5 + ONNX Runtime on CPU, no API key, images never leave the machine. Silent when the model can see images.
macos-computer-use-kit
sur-cai/macos-computer-use-kit
AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus, apps, set-of-mark screenshots, on-device OCR, verified actions, and optional Jev (TypeSafe System One) semantic guards — 1
vision-exp-tile
nicholas023/vision-exp-tile
Large-image recognition for vision-exp models: lossless 800×800 tile recognition (smart/pipeline/full), local OCR with preprocessing & handwriting routing, optional multi-vendor GPU (DirectML/CUDA/OpenVINO) with auto CPU fallback.
dsh-nuphus-mcp
mrpulor-gh/dsh-nuphus-mcp
Official DSH plugin for nuphus-mcp (by the nuphus-mcp maintainers): desktop and browser automation (38 tools) with PaddleOCR element perception and Chrome CDP browsing, via a persistent stdio MCP child process.
dsh-ocr-local
balcoz/dsh-ocr-local
Local OCR for DeepSeek Harness: paste/attach an image, get its text via PP-OCRv5 + ONNX Runtime, fully offline. TUI (cc-tui) and Web. / DeepSeek Harness 本地 OCR 插件:图片转文字,PP-OCRv5 + ONNX Runtime,完全离线,支持 TUI 与 Web。
dsh-vision-bridge
sfyyy/dsh-vision-bridge
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
dsh-artcraft
lznnnnn1998/dsh-artcraft
DSH plugin: drive PhotoCraft (raster image editing) headlessly through its own CLI and MCP server.
dsh-visual-safety-control
kxiaoguai3/dsh-visual-safety-control
Windows desktop-control plugin for DeepSeek Harness: screenshot, local OCR and UI Automation with a content policy (dangerous labels / sensitive windows / secrets) and action verification (hit-test, expect, verifyText). Fork of qingying012/dsh-desktop-con
dsh-mobile-use
regrevia/dsh-mobile-use
Android in the sidebar, driven by text instead of screenshots. 30 tools read the real UI tree, tap by text/id/ref, measure animation motion, and mirror the screen into the sidebar where you circle a spot and send it back with one sentence — the host ships the marked-up frame plus the controls inside the circle to the chat. Token cost is the point: a screen check is a 200-600 token text block, not a 1k+ token screenshot, and a warm check costs 100-200 ms of wall clock. Video is raw H.264 straight into WebCodecs — no transcoding — with p50 2 ms host-write to decoded frame over a 26 s run, one decoder, zero dropped frames; it falls back to MSE on its own and ?avc=0 forces the old path. Sound is one switch, off by default and remembered per serial, so the default path pays nothing; when on, audio rides its own socket (48 kHz stereo PCM, measured 22 s / 1047 packets / 0 loss) and closing the window reclaims it too. Nothing runs behind your back: closing the window stops capture at once, the viewer-less host decoder, recorder and device-side server are gone within 3 s, an idle channel is dropped after 90 s, and a request you closed is never reopened by itself. `adb_proc audit` settles who leaked what in one call. Bundled helpers, no extra services; needs adb and ffmpeg on the host, and the adb_ocr tool plus the OCR fallback for empty UI trees are macOS-only.
canvas-workbench
elangan1997-cmyk/canvas-workbench
本地生图工作台,零订阅费:开自己的 API 生图(任意 OpenAI 兼容接口,零订阅),画布排版+修图/擦除/去背景/OCR/转矢量,可编辑 PSD/AI 交付,Photoshop/Illustrator 图层级双向桥接
dsh-file-convert
zzy-12345678/dsh-file-convert
Local image, PDF, data, audio/video and Office file conversion through agent tools and a drag-and-drop interface; v1.0.x targets DSH Desktop 0.2.1-rc.5, with external tools required for some conversions.
dsh-attachment-formats
linkingoscar/dsh-attachment-formats
DeepSeek Harness Web plugin — PDF text-layer and scanned-PDF OCR, Office docx/xlsx/pptx to Markdown, TIFF/epub and long-document index cards.
dsh-vision-hub (tool-vision)
xing666173/dsh-vision-hub
Enhanced vision toolbox: 14 pixel-level vision tools (describe, ground, detect, crop, pixel-diff, OCR, long-screenshot OCR, vectorize, colors, cutout, screenshot, present, materialize, html-screenshot) driven by one OpenAI-compatible endpoint, with clean \[图片: path] bridge markers, content-safety classification and rate-limit auto-retry.
dsh-vision-hub (file-drop)
xing666173/dsh-vision-hub
Drag-and-drop file upload for PDF, Word, Excel and images: dropped files are saved to a local directory and referenced by path, no base64 bloat in the chat.
dsh-vision-hub (bridge-preview)
xing666173/dsh-vision-hub
Inline preview for \[图片: path] image bridge markers: after the marker renders, the image shows in chat automatically, keeping long instructions out of the conversation.
deepseek-vision
gou-gee/deepseek-vision
DeepSeek Harness 原生视觉 Bundle:粘贴或拖入图片,通过托管的 deepseek-vision-mcp 调用 OpenAI 兼容视觉模型。