プラグイン

ストーリーボードJSONから1080x1920の縦型プロモーション動画を7つのツール(doctor、setup、catalog、guide、validate、render、verify)で作成し、Remotionでローカルにレンダリングします。

DeepSeek Harness からローカルまたはリモートの ComfyUI サーバーを操作：comfyui_run / comfyui_object_info / comfyui_workflow ツールで画像や動画を生成・編集。ワークフローライブラリ（グラフ抽出：コンポーネントごと／メインフロー／すべて）、解像度自動マッチング付きロードエリア、ライブキュー、SDXL と Wan 2.1 テンプレート、コンパニオンスキル、同一オリジンのメディアプロキシを備えます。

DSHで編集可能なBlender製品シーンを作成。スピーカー・カップ・ランプのレシピや読み込んだモデルから始め、Lighttableで保存結果を見て、リビジョン比較や寸法・素材・カメラ・照明の調整ができます。静的モデルを実メッシュ面に配置して一括保存し、既存カメラとアニメーションを保った静止画面も保存。平面のカスタムメッシュでは形状を変えずに反復テクスチャ座標を修復。画像や保存ショットの動画をレンダーし、素材付きの編集可能なリビジョンを書き出します。形状検査、不変リビジョン、承認ゲートで既存作業を保護。DSH 0.2.1-rc.1と旧ホストに対応し、モデリング・確認・納品用の20ツールを収録。

サブエージェントでBilibiliを調べて視聴候補を報告。動画ごとのメモ、カード一覧、メンション・返信・共有動画の受信箱を備える。

DeepSeek Harness の外観ツールキット。8 つのサーフェス（メイン背景、サイドバー、カードとパネル、入力とコントロール、設定、会話フレーム、トラジェクトリ表示、生成/ハイライト — dsh-better-sidebar 併用時は 9 つ）で、不透明度とすりガラスぼかしを個別に調整できます。任意の画像や動画を壁紙として使用でき、ドラッグでパン、スクロールでズームする位置エディタと 5 つのレイアウトモード（Fit/Fill/Stretch/Tile/Center）を備えます。動画はミュートでループ再生され、リロード後も維持され、プレビュー・色抽出・フレーミングのためにライブフレームをキャプチャできます。画像プールのローテーション（シャッフル/順序、リロードごと/毎日/毎週）にも対応。さらに、PS 風のカラーホイール、ワンクリックの壁紙色抽出、6 つのプリセット + 保存済みプロファイル、昼夜の自動切り替え、テーマの完全なエクスポート/インポートを備えます。

DSH 向け深読・要約ツール：プラグインパーサー、MapReduce 並列深読サブエージェント、JSON Schema 出力、冪等キャッシュを活用し、書籍・論文・動画・ウェブを構造化された Obsidian ノートに変換します。

青い大きな太っちょ魚がBilibiliを巡回し、代理コメント、気になる情報のDM、日記、長期要約用の記憶を行います。好みに合う動画を選びMarkdownダイジェストを作成し、コメントを監視して返信可能。Circle Modeでは、動画投稿者がトップレベルコメントで明示的に招待したスレッド内だけに返信します（一般視聴者の依頼は対象外、新しいトップレベルコメントは投稿しません）。コメント、DM、自動実行、コメント監視は既定でOFF。Node 22、DSH 0.1.7-rc.1+、ログイン済みBilibiliアカウント、model route、Pythonが必要。

Douyinアシスタント。毎日動画を選び、コメントを読み、日付入りレポートを作成します。いいねと@メンション付きコメントはどちらも初期値off。自分のComfyUIで生成したクリップも公開可能。Windows専用でPython 3とシステムChromeが必要。初回はinstall-main-dependenciesを実行し、QRコードでログインします。

gemini.google.comへのMCPブリッジ:画像・動画のビジョン解析、Imagen画像生成とVeo動画生成、そしてAPIキー不要でログイン済みブラウザセッションを利用した会話管理。

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.

DSH デスクトップの背景にローカル画像・動画を表示。0.7秒クロスフェード付きの時間切替、フェード前に初回フレームを準備、可読性に合わせた明暗文字、ぼかしとパネル/サイドバー透明度の調整、動画サムネイル、読み込み・レイヤー・selector 状態を返す probe endpoint を備えます。指定したローカルファイルだけを読みます。

grok2api API を通じて dsh に画像と動画を生成する機能を与える。

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.

ローカルの動画や画像から全画面の動的壁紙を設定。エフェクトの調整、壁紙切り替え、Wallpaper Engineワークショップのインポートに対応し、設定は自動保存されます。

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