Plugins

Local previews for 450 file formats with a session file workspace, including Office, PDF, iWork, CAD/3D, RAW and 360° media.

Free LaTeX formula editor in the DSH sidebar with offline MathJax/PDF.js rendering: ten symbol tiles with hover palettes, ten template groups, live preview, colour/font/size/environment controls, favourites with titles and search, and nine export formats (SVG/PNG/JPG, LaTeX/AsciiMath/Typst/HTML/MathML/OMML) with escaping and share links. Image and PDF OCR need a vision-capable model in DSH or your own OpenAI-compatible vision endpoint; everything else runs offline.

Local-first bookkeeping plus a separate wealth-holdings ledger: text entries and receipt OCR through an optional local provider, a running balance, a strictly degrading daily profit chain, and a two-section month-end report where cash and wealth totals are never merged.

Wayland desktop control for GNOME/Mutter sessions: screenshot, OCR with screen coordinates, click by text, and batch input actions. Needs a Python 3 backend with python3-gi and GStreamer; OCR needs Tesseract.

Pipeline for scanned textbooks: OCR at roughly 5x the ONNXRuntime speed (requires Python 3.10+ with pymupdf, rapidocr, openvino and numpy), then a structure report and a per-chapter reading plan before you open the PDF.

One MCP tool surface over two Windows desktop-automation backends (dsh-computer-use-win and windows-mcp). Both must be installed first: dsh-computer-use-win as a DSH plugin, windows-mcp via uv tool install windows-mcp --python 3.14, then run the bundled scripts/patch-backend.mjs once (it rewrites the local windows-mcp source; without it screenshot/read_webpage/launch_app fail) and disable the standalone wincu mount. It merges their 44 tools into 29 by dropping 10 duplicates, 4 dangerous ones (PowerShell, Registry, FileSystem, Process) and 1 tool-management entry, and blocks dangerous calls before forwarding through a reversibility-graded guard.

Local-first knowledge base for DeepSeek Harness: each base is a folder of UTF-8 text, text PDFs and OCR-read images; the plugin retrieves from the session's selected bases before every turn with Chinese n-gram and BM25, answers carry citations that open in a right-sidebar reader, and the agent gets five kb_* tools (list, search, read, stats, propose text) plus /kb commands for create, use, files, search and rescan.

Captures a dragged desktop region with a global hotkey and either recognises its text with Windows OCR or attaches the screenshot to the chat draft.

Read PDF, DOCX, XLSX, PPTX and text documents as agent tools, and OCR scanned PDFs or images locally with tesseract.js. Exposes doc_read, pdf_read, xlsx_read, doc_meta and doc_ocr.

Local knowledge base and document search for DeepSeek Harness with full-text search, PDF/Word/PowerPoint/Excel/Markdown import, OCR, ACL, and a Web panel.

Full-screen screenshot panel for the DSH composer: marquee selection with rectangle, ellipse, arrow, pen, mosaic and text annotation, then insert into the conversation, copy or save. The selected region can also be recognized offline — PP-OCRv6 through onnxruntime-node, falling back to the built-in Windows OCR engine — and translated into nine languages with the model already configured in DSH. On Windows the marquee covers the whole screen including the taskbar and hides the DSH window first, so the capture is of the real desktop. The panel runs in an Edge or Chrome kiosk window, and falls back to an in-DSH capture flow when no browser can be launched. Note that DSH Desktop denies ordinary browser access by default, so the full-screen panel also needs "Allow opening this Profile in a browser" (compatibility mode) enabled in the profile settings; without it every capture goes through the in-DSH fallback. Windows only (DSH Desktop); the PP-OCRv6 models are downloaded from ModelScope on first recognition.

Turns PDF, Word, PowerPoint and Excel files into Markdown or plain text with heading levels preserved where the source allows it, and refuses scanned PDFs that have no text layer instead of writing an empty file, naming the OCR alternative instead. Requires Python 3.10+ and pip install -r requirements.

Local-first knowledge base for DeepSeek Harness: imports Word/PPT/Excel/PDF (text or scanned), EPUB and MOBI/AZW3, builds Markdown parts with page anchors, OCR quality/confidence and column-aware PDF reading order; adds an LLM-maintained wiki layer (schema.md rules, auto index.md, append-only log.md, typed notes with sources and backlinks), adds source-trust labels (high/medium/low) with trust-aware ranking and low-trust warnings, and supports ranked search, cross-KB query, precise reading/editing, and md/jsonl/zip export. MOBI/AZW3 need Calibre; legacy .doc/.ppt need Word/PowerPoint (Windows) or LibreOffice (Linux); scanned-PDF OCR downloads models on first use.

Bridge to the local doc2md (markdown_monitor) CLI — one doc2md tool with convert, read, scan and status actions over docx, doc, xls, xlsx, pdf and image files.

Add PaddleOCR vision to text-only LLMs like Agnes, DeepSeek, MiniMax, GLM and Mimo. Supports local files and URLs. Free tier of 20,000 pages/day; needs a PaddleOCR API token you apply for (free, 1-3 business days).

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

Wraps the external `ocr` (open-code-review) CLI in five model tools — one-shot review, whole-tree scan, deterministic scope/rule scaffolding and session lookup — and reports what OCR found separately from whether the run actually covered the selected files.

Local media/doc pipeline: ffprobe, extract, thumbnail, PDF, ASR, pandoc, OCR, exif (allowRoots include IM inbox).

Publishes a lesson into the DSH conversation: the dependency spine, the question and the vault's drawings, drawn in the vault's own palette.

Windows computer use forked from computer-user: 13 computer_* tools that read the screen and drive the mouse and keyboard. Image-capable routes get the screenshot as a real image with an exact image-to-screen mapping, so no external OCR; elements return as UI Automation refs so a click lands on the exact control rectangle; Ctrl+Alt+Esc stops every call.

Transparent multimodal routing for text-only models: every image in every model call is fully transcribed (verbatim OCR, data, uncertainty zones, injection-hardened) by your own multimodal understander, with focused re-look via vision_relook and automatic retry on image-related failures. No bundled endpoints, no borrowed logins.

Free vision OCR with adaptive tile recognition for long documents and Markdown/Word/PNG/Excel export.

DeepSeek Harness vision plugin: 8 analysis modes (describe, OCR, chart data, UI review, object detection, compare, code-gen, debug), any OpenAI- or Anthropic-compatible vision API, with a built-in free vision model and automatic rate-limit failover.

Workspace-bound arbitrary file upload, reading, OCR, and rendering for DeepSeek Harness.