Plugins

RunningHub cloud ComfyUI workflows as a background task pool: submit a batch, and a watcher dispatches it within a concurrency budget, polls each job, downloads every output to disk, and wakes the session when the pool drains. A shared ledger records batches, costs, instance tiers, submit and finish times, and per-file save paths, with a live board in the right sidebar.

Local-first experience library for DeepSeek Harness: indexed markdown knowledge with error-signature retrieval, failure capture, gap-to-entry closure, and a sidebar panel. Ships a sanitized starter library. No network access.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Roleplay companion memory for DeepSeek Harness (short, human-like chat style by default): per-conversation editable persona documents with 1-100 weights per entry (AI may also refine them in small, story-driven steps), per-speaker favorability tracking (multi-person chats), AI self-evolution of traits and preferences, recent 48-hour transcript search, companion-style conversation compression that keeps long chats alive, and a date-archived local knowledge base with auto-packing by turns or tokens.

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.

Fudan · Desktop: DeepSeek quota and campus-weather status bar, six curated campus wallpapers, and a fully local 知行台 schedule/knowledge workspace with a Fudan editorial UI and week-by-week review.

VS Code style 44px icon rails for the side panels DSH collapses: the left rail keeps the sidebar navigation and the bottom action rows, the right rail lists the sidebarRightTabs ledger so third-party tabs appear on their own, and the right panel is drag-resizable between 300px and 60% of the window. Two switches under Settings → Activity Bar, saved in this browser.

Lets the model turn an answer into a web page that lives right inside the chat. The show_page tool either fills one of 8 built-in templates (report, compare, checklist, dashboard, timeline, flashcards, quiz, flow), where the model writes only the content and the plugin does layout, interaction and saving, or saves a full page the model wrote itself (calculators, games, custom layouts). Hand-written pages get the same design as base styles inside a CSS @layer, so the page's own CSS still wins. The page appears under the reply at its content height, interactive and following DSH's light/dark theme. The page's localStorage is stored in DSH per page, so what users tick or type survives reopening and new versions, and the same page open in the chat and the right sidebar stays in sync. Each edit is saved as a new version you can flip back to. After saving, the page is checked in a hidden local Chrome or Edge (script errors, horizontal overflow, dark mode not applied) and problems go back to the model. The right sidebar shows the page full-size with versions, a gallery of all pages and export to PNG, PDF or HTML. Pages run in a sandboxed, separate-origin frame with a strict CSP: no access to DSH data and no fetch, XHR or WebSocket. Works on phones with dsh-mobile.

A workbench with a native AI assistant, task and reply tracking, Linky development workflows, knowledge, web chats, and developer/data tools. Yunzhijia messaging needs its account and CLI; web chats require the desktop app.

Five tools for agent-driven audio: anyaudio_music renders note-level scores offline from local SoundFont banks, anyaudio_sfx offers 52 SoundFont presets plus 15 procedural generators, anyaudio_tts speaks through Edge or MiMo, anyaudio_mix ducks narration under the bed and normalizes peak level, and anyaudio_sources manages the shared sound-font library.

Ships a minimal lesson ledger: brief.ps1 to look up past pitfalls, add-lesson.ps1 to record new ones, deployed into the skills directory and wired into AGENTS.md by the installer. The model checks it before working and turns what it hits into rules, so the same mistake is not made twice. This plugin watches whether that actually happens and shows the result in a tab and under the composer.

A draggable task-tree panel inside the chat page: capture tasks by voice or text, drag to reorder, edge-snapping collapse, and a plain-text queue file you can edit or version yourself.

DeepSeek Harness (DSH) plugin: injects a bounded, timestamped snapshot of your local Second Brain (identity + state fingerprint + pointers) into every new session's prompt. Read-only, zero-write, fail-loud, zero dependencies. 第二大脑载入器：让每个新会话开局自带记忆快照。

Local usage ledger that reads this machine's session logs and reports per-day, per-model and per-workspace token consumption, cache hit rate, tool-vs-chat split and estimated cost, with an in-app editor for per-model prices.

Adds a comet-like light band that flows along the window edge of DeepSeek Harness — up to four in parallel, colored by each session's model, reversing direction while waiting for your reply, and returning to the composer or the workspace once the conversation ends.

Connect a DSH Agent to Minecraft Java servers with Mineflayer, a live game view alongside native reasoning and tools, configurable personas, server-scoped notebooks, and optional local survival knowledge retrieval. Reuses the host model; installation does not connect to a game or start inference.

Built on dsh-better-sidebar: the repository graph is a tab inside that sidebar, and this plugin still loads without it - install dsh-better-sidebar to see the tab. Forked from @linxin666/dsh-client-ui-git-graph 0.4.8, which linxin666 develops in zhu1090093659/dsh-web. Both halves own the /git route prefix, so this plugin and the upstream one cannot be installed at the same time - pick one. It discovers the Git repositories up to three levels below the workspace directory (at most 200, skipping node_modules, dist, build, out, coverage, target, vendor and dot-directories), lists them as a tree with branch, head, dirty-file and conflict counts, and draws the selected repository commit graph as an SVG lane canvas with curved cross-lane edges, merge diamonds, ref badges, row zoom and a pinned commit card. The tab writes to the repository: the Initialize Git repository button runs git init, and the conventions picker writes a GIT_CONVENTIONS.md document into the repository (or a workspace-wide .dsh/GIT_CONVENTIONS.md that nested repositories inherit) from six frameworks - Conventional Commits, GitHub Flow, Git Flow, Trunk-based, Conventional Branch, GitLab Flow. The host injects that document into the system prompt before every model step and flags the last 20 commit messages that break the rules the document states - subject length, type prefix, Chinese, English or mixed language, lowercase, trailing period and imperative mood, plus an optional AI attribution policy (ai: required / optional / forbidden) that reads the message trailers, so Assisted-by and Co-authored-by count as attribution while ai: forbidden only rejects AI-specific trailers. When the workspace document, the document of the checked repository and the documents of its parent directories disagree, the panel and the injected prompt both name every disagreement and the agent is told to ask before changing anything; one click then merges them into the workspace .dsh/GIT_CONVENTIONS.md, keeps the union of the machine-checkable rules, leaves a timestamped .bak copy of every rewritten file and replaces the absorbed repository documents with pointers to the workspace one. With the agentTool option enabled the host also registers a git_conventions tool, so a model step can run the same check and stage the same merge. The same graph can also open as a page in the main area of the conversation, opt-in and closable from the tab, beside the views the host ships. The composer branch chip, interactive graph dialog and worktree manager of the upstream plugin are carried over unchanged.

Local knowledge base for DeepSeek Harness: distills workspace and chat-attached PDF, Word, Excel, Markdown, TXT, CSV and HTML documents into Markdown notes, with a VS Code-style viewer, per-workspace access grants and agent tools to search, read and add notes.

Per-turn and per-step cost ledger for DeepSeek Harness: a Turns tab beside Chat and Trajectory with tokens, estimated cost, cache savings, and an inspector for tool arguments, raw results, and source. Client-only; prices are estimated from recorded model usage.

Per-answer timing breakdown: splits each reply into model, tool and other time, with first-token, decode and per-tool totals, and keeps a local JSONL ledger. Needs Node 24 or newer in the DSH runtime.

Interactive topic graph for DSH session history: groups questions into topics, drills into per-topic Q&A timelines, supports semantic regrouping, and exports HTML, SVG, and Bluepin vaults.

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.

Injects your home folder — identity, house rules, recent diary and ledger — into every new session before anyone speaks, and keeps that home writable so the agent can amend its own persona. Does nothing until the home folder exists (default dsh-home under the user home, or set home in the config).

Warns the session to flush what matters before context compaction kicks in, and rolls a long-term ledger into a frozen archive with a digest of title plus up to three lines per moved section. The roll-up stays off until home is set.