Plugins

A workbench beside DeepSeek Harness conversations with source navigation, Python class hierarchies, Git diffs, breakpoint debugging, and searchable Markdown memory cards. Go and Java navigation need their own language servers; breakpoint debugging needs separately installed debug adapters (debugpy, Delve, vscode-js-debug); Python class relationships are Python-only and in beta.

Five tools for reading a video as raw material rather than as something to watch. video_outline maps a whole file as text and draws nothing at all: 4-60 equal windows, each with its cut count, speech share, intensity bar and tags, then the windows worth opening and the exact start/end for the call that follows -- zero image tokens. video_probe returns metadata and a reading plan without decoding frames. video_storyboard turns a window into one contact sheet plus a text index binding every cell to its timecode, cut count and frame time; cells whose text would be illegible at that scale are marked zoom, and dedupe global folds a picture that comes back after a cut. video_zoom re-renders 1-9 cells from a short window at a larger scale. video_read decodes only keyframes, OCRs each screen, and returns an outline plus \[mm:ss] text -- the path for lectures, slide decks and screen recordings, where the words are the content. It also reads a file with sound and no picture as a transcript (subtitle track, then DSH_ASR_CMD, then a transcript file you pass; long audio is cut at 45 s onto silence), composes six changed frames into one sheet when a file has no readable text at all, and can write the result out as SRT, WebVTT or text. Cuts, dissolves and one-frame flashes are found in a single ffmpeg pass; from ten minutes up a file is analysed on its keyframes only, 2.7x faster on a two-hour lecture; and a cell is never shrunk below a fifth of the source, so a 1440p sheet spends the same tokens on fewer, bigger cells. OCR is the engine Windows ships, tesseract with line boxes, or DSH_OCR_CMD. It takes a B station link (bilibili.com/video/BV..., a bare BV id, an av id or a b23.tv short link) wherever it takes a file: up to 300 seconds is read from the CDN in place with nothing written to disk, longer videos are downloaded once and cached within a 4 GB / 24 video budget, play URLs are cached for ten minutes, and a link that is not a single video says what it is. Needs ffmpeg, uses ffprobe when present, and has no other runtime dependencies. It is a wire-compatible reimplementation of SAOS-3624/dsh-video-storyboard: it registers the same video_probe / video_storyboard / video_zoom tool names, so the two cannot be enabled together.

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.

Pins passages selected in a conversation into a per-conversation right-sidebar panel, marks them in the transcript, jumps back to the source passage on click, and quotes a pinned passage into the composer from the selection toolbar or by typing @; the panel tags, searches, filters and exports the pins as a Markdown outline.

Drag a session out of the DSH sidebar and it opens in its own native OS window, showing the full standard conversation UI (Markdown, toolbar, settings) with only the sidebar trimmed away, so several sessions can be watched side by side instead of switching back and forth. Windows verified; macOS and Linux untested. Runs in the DSH desktop app (Electron).

Study workbench for exam prep and research: three-column task board with tags and filters, a spaced-repetition queue (simplified SM-2) that keeps finished cards coming back, a heatmap lit by actual focused minutes, weekly reports, per-day review notes, a pomodoro timer that survives panel switches, and Markdown export/import for Obsidian. Installable via dsh plugin add (dsh-study-desk on npm).

Deep-reading workflow for books: import EPUB/Markdown/TXT/PDF into chapters, read one chapter per subagent so the source text never enters the main session, keep \[n]-anchored chapter memories for cross-session continuation, and export notes or an EPUB.

Composer and sidebar helpers in one plugin, each switchable in Settings: a git Changes panel (uncommitted / unstaged / staged / branch diffs), ↑/↓ input history, Shift+Tab /plan toggle, one-click ▶ Continue after a stopped or failed turn, drag-and-drop queue reordering, Copy deeplink, Auto Review "Allow for this chat", project status markers with active projects first, background notifications, 11 extra UI languages and automatic updates from GitHub releases through the plugin manager.

Database explorer panel for DeepSeek Harness: connect SQLite, MySQL/MariaDB, PostgreSQL, SQL Server, MongoDB, ClickHouse, Redis, Elasticsearch and Qdrant from a third Conversation tab — browse schemas, page through data, edit cells, insert rows, design and drop tables, run SQL, import/export CSV/JSON/SQL/Markdown, and draw editable E-R diagrams. Read-only connections enforce statement-level allowlists, agent tools ship read-only by default with an opt-in write flag, and every write (including refused attempts) lands in an auditable log. Ships an MCP stdio server exposing the same connections to external AI clients.

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

Local Markdown notes as governable working memory for DeepSeek Harness agents: dual-mode source/WYSIWYG editor with images, convention or reference notes auto-inject into the system prompt with sensitive values masked, plus snapshot version history, recycle bin, undoable archiving, AI reorganization, backlinks and full-text search. Compatible with DSH 0.1.7-0.2.x.

Native side-by-side chat beside the main conversation: an independent DSH session with native UI, on-demand parent-context retrieval, selection quoting, and a keep-or-delete lifecycle.

WeChat Official Account typesetting workbench: renders Markdown into inline-styled HTML you paste straight into the WeChat editor, with a sidebar panel, 11 themes and five model tools for block-level revision.

One-click prompt improvement for the DSH composer: press the sparkle button to rewrite the draft into an agent-ready prompt, replaced in place and undoable, with a deterministic fidelity check that keeps every path, identifier, number, URL and backticked token verbatim, plus a length ceiling that blocks inflation.

Genshin Impact Yoimiya theme: two hand-tuned palettes, a procedural fireworks particle layer, and a local music player that reads your own files — songs and covers are never uploaded. Warm syntax colors and a hand-drawn goldfish brand mark; apart from the wallpaper every pixel is CSS gradients and hand-written SVG.

Coding workbench for DSH: docked workspace panels, a grouped project sidebar, split editor tab groups with hibernate/resume, file preview and diff views — built on parallel git worktree development with cross-session collaboration primitives.

A DeepSeek Harness Skill built on the official command-line tool maa-cli for MaaAssistantArknights (MAA), enabling direct control of MaaCore to automate daily tasks in Arknights.

Agnes AI image and video generation plugin for DeepSeek Harness.

Markdown conversation theme plugin — 4 built-in themes with light and dark variants, user-editable CSS themes, system-aware auto-switching, an in-browser editor with syntax highlighting and save-time validation, and a theme selection that persists across reloads and tabs. Also ships a version-history panel. Windows and DSH Desktop supported.

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

Image previews for DSH sessions: read_image thumbnails plus user, assistant, Markdown and present images in a lightbox with zoom, rotate, pan, download, sidebar and native file actions.

Adds a Compact context button and a New session button to the context meter panel; compact submits /compact through the same command channel, and new session starts a fresh session in the same workspace.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Roll back to before any of your questions or edit the last one and resubmit, with the workspace files of the discarded turns restored.