Plugins

Drives a real Chrome through a local MCP server so the agent can search Google/Bing/Sogou, read any page including JS-rendered and login-only content, automate click/scroll/type/key-press/select in a background window, and run platform search/detail/comment/download for Zhihu, Xiaohongshu, Douyin, Bilibili, X and Reddit; resumable comments, SHA-256-verified downloads, cookies never returned, localhost only.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

Literary DSH plugin: one session is one book. Cover-card /new opens one of 19 realms, a prose-only 诸天万界DSH preset keeps the model writing fiction, keyword worldbook entries ground each turn, and /export-story typesets the session into a Markdown novel.

Pixel-art whale desktop companion with 29 frame-audited states — taps the glass and flashes the tab title when an approval waits, speaks a completion report when a turn ends, and adds a slash-command palette to the web client.

One memory layer for every AI tool and agent: Context Bundle injection, prompt-time recall, MCP tools, and turn-end DSH thread capture.

Token, cost, and balance dashboard under the composer: live indicator plus zero-dependency SVG charts for per-turn usage, estimated cost, and DeepSeek account balance.

Replaces the dsh compaction backend with a Codex-style window reset: the checkpoint is a handoff assembled from the session log by code, not a model-written summary, so a reset costs no summarization calls. A task ledger with a two-check gate keeps intent, next steps and the files still in play across resets, and a new_context tool lets the model reset on its own. Re-declares the four built-in agent presets (standard, ptc, minimal, cordis) exactly as shipped in dsh 0.2.2-rc.1, so re-run sync-presets.mjs after a dsh upgrade; idle cache keepalive is on by default and sends real requests that use quota (keepalive: false turns it off).

High-performance fork of SAOS-3624/dsh-video-storyboard — install this or the upstream plugin, not both. Turns a video into addressable storyboard grids (numbered cells, a timestamp and transcript line per cell, audio envelope); needs Node 20+, ffmpeg/ffprobe on PATH, and a configured ASR endpoint when the file has no subtitle track.

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.

Memory for long-form RP and companion chats: three fading layers, per-turn recall, source labels, character and world boundaries, a relationship graph, image attachments and a WebUI.

Windows-only floating percentage meter for the DSH desktop (0.2.x) cookie jar: it estimates how much of the request-header budget the dsh-auth cookies occupy, turns red past half, and clears the jar on the next launch with one click, avoiding the lockout that hits after roughly 72 launches.

Turns your AI agent application into an interactive workspace for ideation and design, with editable panels, structured knowledge and guided iteration.

Local Markdown long-term memory for DSH: an Obsidian-compatible vault, a sidebar management page, four memory tools, and budgeted per-turn recall.

QQ (NapCat / OneBot 11) bridge for DeepSeek Harness: chat with your harness from QQ, with persona presets and custom personae, a grouped sticker library plus web sticker search, edge-tts or custom HTTP TTS voice notes, pluggable lookup engines, periodic memory compaction, an owner-only relay mode, and an eleven-tab management panel with live monitoring and per-turn cost tracking.

Adds two UI surfaces: a composer image editor (numbered marks with per-mark instructions, background removal, brush-mask erase, resize with crop/padding preview, keyboard-accessible markers; results return as attachments plus a version-1 manifest) and a Settings → vision/generation provider panel (explicit provider picker, providerId normalization, ChatGPT-web accounts synced into channels, per-channel test/try-run/copy-command, script readiness scan, save validation with .env preview, probing that only disables on explicit quota errors, Chinese/English UI) that writes providers back to the skills .env files.

Turns a DSH deployment into one node of a decentralized agent network — signed agent cards, peer and zone discovery, direct message-routing model tools, and joinable session nodes in the web sidebar.

Academic tools in TypeScript, no Python or MCP server: the Zotero library through its local API or zotero.org (search, annotations, full text, citation export; add by DOI / arXiv id, notes and tags when writing is turned on), starting Zotero when it is closed; paper search across arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed and Europe PMC, plus CNKI and Google Scholar through a browser window; open-access full text, citations from the DOI registry, reference checking; 11 bundled skills.

Old conversation is folded into short summaries by a side model before the window fills (on-disk ledger survives restarts and re-anchors after host compaction), so long sessions stop getting more expensive every turn — one real full-day session: 6 folds replaced 209 old messages and the live context stayed in the tens of thousands of tokens. The session model picks the model per subtask across six pools (economy/mechanical/main/hard/vision/review); or pick Auto and a small intent classifier routes each message itself, switching only past a confidence threshold to keep prompt caches warm. A three-line watermark ends in an automatic four-step handover (fork backup, handover doc, compact, wake) without losing in-flight subagents; /ctx-pause, /ctx-resume and /ctx-handover keep it manual when wanted. Optional Agent Teams mode adds teammates and a shared task board; /vision gives text-only models eyes via the vision pool; tiered verification sends bigger diffs to a tester plus an independent reviewer. Settings UI, READMEs and language preferences cover the same 11 languages. Bundles three skills: read-only MySQL/Redis verification, commit-message generation, and a requirements/design document convention.

Adds a restart button to the DeepSeek Harness desktop app — it asks before restarting while work is running, and afterwards reports how long the app was down. Entries can live in the sidebar, the conversation header, the account menu or the settings page, and each one can be turned off. Extras include checking how much sign-in data is stored (a cause of startup failures) and previewing leftover temp files, counted but never deleted. Desktop app only.

An in-page pet for DSH Web with multi-session task notifications and controls to open tasks, stop turns, and respond to supported approval and question requests.

Quote selected conversation text into the Web composer as native reference chips for focused follow-up turns.

Terminal coding agent for DeepSeek Harness with a full-screen alternate-screen UI, turn-aware session navigation, and a gated /ship workflow that takes one-line requirements through specification, TDD, and rerun acceptance checks.

For the DeepSeek Harness native vision model deepseek-v4-flash-vision-exp, raises image admission limits to 32 MiB / 8192 px / 600 images and adds a highres_read tool that tiles large images, then returns the whole image plus 800x800 tiles through the host read_image tool.

Turn your DSH token usage into a gacha game: feed a monster with tokens, earn coins, pull from 14 AI waifus (Kimi/GLM/Gemini/Claude and more), enhance artifacts, and build a Balatro-style battle team with daily sign-in bonuses.