Plugins

Makes 1080x1920 vertical promo videos from a storyboard JSON with 7 tools (doctor, setup, catalog, guide, validate, render, verify), rendered locally with Remotion.

Drive a local or remote ComfyUI server from DeepSeek Harness: comfyui_run / comfyui_object_info / comfyui_workflow tools generate and edit images and videos, with a workflow library (graph extraction: per component / main flow / all), a load area with resolution auto-match, a live queue, SDXL and Wan 2.1 templates, a companion skill, and a same-origin media proxy.

Create editable Blender product scenes in DSH. Start from speaker, cup and lamp recipes or imported models; view saved results on the Lighttable, compare revisions, and adjust dimensions, materials, cameras and lights. Place static models on actual mesh surfaces in one saved operation, then save a complete static view while preserving existing cameras and animation. Repair repeating texture coordinates on planar custom mesh faces while preserving geometry. Render images or saved-shot videos and export an editable revision with its assets. Native geometry inspections, immutable revisions and an approval gate help preserve existing work. Supports DSH 0.2.1-rc.1 and the legacy host, with 20 tools for modeling, review and delivery.

Lets the agent scan Bilibili through a subagent and report what is worth watching, with per-video notes, a card wall, and an inbox for mentions, replies and shared videos.

DeepSeek Harness appearance toolkit. Independently tune opacity + frosted-glass blur across 8 surfaces (main background, sidebar, cards & panels, inputs & controls, settings, conversation frame, trajectory view, produced/highlights — 9 with dsh-better-sidebar). Use any image or video as wallpaper with a drag-to-pan, scroll-to-zoom position editor and 5 layout modes (Fit/Fill/Stretch/Tile/Center); videos loop muted, survive refresh, and capture a live frame for preview, color extraction and framing. Rotate a pool of images (shuffle/order, every refresh/daily/weekly). Also: PS-style color wheel, one-click wallpaper color extraction, 6 presets + saved profiles, day/night auto switch, and full theme export/import.

Deep reading & summarization for DSH: books/papers/videos/web into structured Obsidian notes via plugin parsers, MapReduce parallel deep-read subagents, JSON Schema outputs and an idempotent cache.

Let the Blue Big Fat Fish browse Bilibili for you: it comments on your behalf, DMs you interesting finds, writes a diary, and keeps a memory for long-term summaries. It filters videos to your taste, creates Markdown digests, and can watch comments and reply for you. In Circle Mode, it replies only inside threads explicitly invited by the video uploader in a top-level comment — ordinary viewer requests do not count, and it never starts a new top-level comment. Commenting, DMs, auto-run, and comment watch are off by default. Needs Node 22, DSH 0.1.7-rc.1+, a signed-in Bilibili account, a model route and Python.

Douyin assistant plugin: picks a daily round of videos, reads comments, writes a dated report, can like and comment with an @ mention (both off by default), and publishes clips rendered by your own ComfyUI. Windows only; needs Python 3 and a system Chrome, and the first run needs the install-main-dependencies step plus a QR-code login.

MCP bridge to gemini.google.com: vision analysis of images and videos, Imagen image and Veo video generation, and conversation management using the logged-in browser session with no API key.

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.

Local images and videos as the DSH desktop window background: timed rotation with 0.7s cross-fades, first-frame-ready before fading in, automatic light/dark ink for readability, adjustable blur and panel/sidebar opacity, video thumbnails, and a probe endpoint reporting load, layer and selector health. Reads only the local files you point it at.

Gives dsh the ability to generate images and videos through the grok2api API.

Browses Bilibili on your behalf and actually takes part: search videos, like, coin, send danmaku, post comments, reply to other people, and keep replying when someone answers back. Reads the video's Bilibili AI subtitle (or transcribes the audio locally when there is none) so its comments talk about what the video really says, and it reads that same content before choosing whom to reply to. Instead of copying other people's sentences, it distills rules about how to sound like a person and gets less AI-ish the more it runs. Skips videos it already browsed, de-duplicates replies per thread, and after too many rounds with the same person in one comment section it reviews whether the exchange has any substance -- if it looks like two bots complimenting each other, it says one last line and stops replying to that person there. Checks whether each comment is genuinely public or only visible to your own account, can scan any time window (last hour / day / 3 days / all) and lists the ones others cannot see, warning you on the overview when replies got folded. Six-tab settings panel where every change takes effect immediately with no restart, a manual run that queues behind the background listener instead of being refused, and an environment self-check that tells you exactly what to install. Requires Python 3 for the Bilibili actions; the built-in check lists any missing packages.

Runs a Douyin subagent that browses videos and reads comments in valley hours and reports back, with dy_* tools for publishing and replying (comments sent from the already-logged-in page with its own request signature, no IM ticket), a daily quota timer, and a settings panel under Settings → Douyin: master switch, auto mode, valley windows, rounds per day and report depth. Windows-oriented; needs the separate douyin-mcp binary (yunsur/douyin-mcp releases, path set via dy_config mcpExe) and an Edge/Chromium login; replying needs a logged-in browser on a CDP port; publishing needs extra credentials most accounts lack.

Bilibili curation floating panel for DSH: learns your interests on a probability schedule and decays them by half-life, picks videos inside a token budget derived from a daily money cap, and mentions you only when a fit score passes a threshold. Comments are off by default; once enabled they run in draft-and-confirm or self-checked auto mode under a daily quota, with a hard no-comment rule for political, government and frontier-science topics, and comment text is scrubbed for account identifiers before it can be posted. It signs in through your own Bilibili account cookies; a separate posting account is recommended.

Generate images and videos, edit images, remove backgrounds, upscale images, upload reference media, and check Fotor credits.

Bilibili autopilot run by a local Ollama model: it picks videos within per-topic quota, reads subtitles, hot comments and keyframes, decides whether a reply is warranted, then writes and posts one comment through a five-level safety gate. Triggered by dsh-schedule; write tools are not registered while commenting is disabled. v1.1 hardens the write path: revoking write access is a runtime state checked before every send, publishing is atomic, risk-control errors persist as a pause, and the final post re-checks persona style. Needs Python 3.10+ with the repo's requirements.txt installed.

Personal WeChat and WeCom (企业微信) bridge: QR pairing, one DSH conversation per chat, two-way text/image/video/document/archive transfer, chat commands (/help, /status, /new, /stop, /friends) answered by the bridge itself without spending a model turn, a switch that restricts the bot to 1:1 chats (group messages are dropped silently and counted), remote approval by replying 1 or 2 in the chat, and a two-way WeCom intelligent robot over its long connection (no public URL needed) that also receives and sends images, files and videos.

Reads a local video or page link with ffmpeg and Paraformer ASR, returning a timestamped transcript plus key-frame images the agent can open; finds candidate videos by keyword and installs its own runtime dependencies on first use. Requires Python 3.8+ on PATH; video_discover also needs a one-time douyin/xiaohongshu login.

DSH 生图+生视频整合插件：统一多供应商目录（OpenAI 兼容 images/chat 网关、DashScope 通义万相、火山 Seedance、Google Veo、Sora 风格 /v1/videos 异步任务含 input_reference 图生视频），提供 image_generate / generate_video / animate_image 工具，对话内联显示、图片与视频画廊、统一设置面板。Fork 合并自 dsh-image-generation 与 dsh-video-gen

Region & sticker image skin for the DSH (DeepSeek Harness) web UI - paint the window, center, sidebar, welcome, right panel and composer with your own images, GIFs or videos, add two draggable stickers, and let the interface take its colour from your wall

Turns course, lecture, tutorial, meeting, and talk videos into structured study notes: it extracts the audio track with ffmpeg, transcribes it with Whisper, then writes notes with a chapter outline, emphasis markers, and a quick-reference card.

Full-screen dynamic wallpaper from local videos and images, with live effect controls, wallpaper switching and Wallpaper Engine workshop import; settings persist automatically.

Rotates images and videos from a media folder as the DSH UI background, with panel controls for the rotation interval and UI opacity.