Plugin

IDEA-style Git workbench for the Web UI: commit graph with lanes and ref labels, log filters, commit details, split and unified diffs with per-hunk staging, a fine-grained zero-context mode, local changes with amend and sign-off, rename-following file history, per-line annotate, stash, branch operations, compare, tags, an interactive rebase planner and conflict resolution. Records which model produced a commit by stamping an Assisted-by trailer from the live session, and renders any existing commit trailers as chips, so AI-authored history stays traceable.

Reflex arc for DS Bot: runs as a sibling DSH plugin with no change to ds-bot, collects facts in cheap layers, scores them with a local decision model, and wakes a Bot only when something crosses a threshold.

Local wake-word voice input for DSH. Say the wake word, wait for the chime, then speak; text is sent to a DSH session. Audio is processed locally by default and not stored. Requires the DSH speech input service (speechToText) to be available.

Give DSH AI timestamped video frames, audio and lyric analysis for Bilibili, YouTube and local files, with browser-session import, optional built-in browser sync, continued viewing, saved site resolvers and native cache management. Requires FFmpeg and ffprobe on PATH or configured in the plugin settings.

Drive local Adobe Photoshop for game screenshots and photos: layered HDR, multi-zone colour/person masks, SUPIR/Real-ESRGAN super-resolution, native 1:1 vision inspection. Requires Windows 10/11 and Adobe Photoshop 2025; the grading tools do not run on macOS or on earlier Photoshop versions.

Reads a video or audio file into metadata, sampled stills, subtitles and a multilingual speech transcript with speaker labels, captures the live desktop as frames or a recording, and installs its ffmpeg/whisper.cpp/sherpa-onnx toolchain on first use with per-file sha256 checks; all processing stays local. Automatic toolchain install and desktop capture currently support Windows x64 only, so elsewhere ffmpeg and model paths must be set manually.

Keeps a local sticker dictionary keyed by content hash so an image already described is recalled instead of re-read, and splits a GIF into evenly sampled frames laid out as one contact sheet so the whole animation is visible.

Three literature-research skills packaged as one DSH plugin: academic-web-research (lightweight proxy fetch), academic-literature-research (Scholar/IEEE/CNKI/Wanfang/Sci-Hub pipeline), off-campus-literature (campus WebVPN/CARSI access). Installing drops the three SKILL.md folders into ~/.dsh/skills/, so the agent can invoke them by name after a restart. The bundled web-research skill assumes a local HTTP proxy at 127.0.0.1:7897; edit it if your setup differs.

Computer use for DeepSeek Harness: js and js_reset tools that read windows, click, type, and screenshot macOS apps through the locally installed ChatGPT app. Apple Silicon macOS only; requires the ChatGPT desktop app.

Scores each assistant answer on five dimensions plus topic coverage, shows evidence, and turns the weakest dimension into copy-ready prompt advice. Observational only; local by default, with optional Jev review.

Production pack for ComfyUI inside DeepSeek Harness: submit API-format workflows to a local or remote server, batch-generate and fetch outputs, and diagnose bad images with measured parameter ranges and a failure-mode decision tree (black frames, duplicated subjects, color fringes, OOM).

Drives Proteus 8/9 interactive simulation from the agent through eleven proteus_* tools: connect, simulation start/stop/status, probe readings, a project save that checks the file hash and mtime actually changed, and layout suggestions computed locally; on machines that register the Labcenter.InteractiveSimulation COM server it also places devices from a whitelist and queries and connects pins, while without COM it falls back to a keyboard-driven UI transport covering the simulation lifecycle and saving. Requires Windows with a local Proteus 8/9 installation.

Drives a local MaaEnd (MXU) client over its loopback HTTP API: 10 maend_* agent tools, a sidebar dashboard panel, and startup-mute / success-gated close-game steps in the task chain. Requires a local MaaEnd install with its MXU service running.

OneDev integration for dsh: an MCP server exposing the OneDev REST API as 61 tools — 57 administration tools (users, groups, roles, projects, authorizations, build agents and tokens, builds with streamed build logs, global settings, access tokens), 3 standalone documentation-query tools for docs.onedev.io, and environment discovery with per-call multi-environment routing — plus a dsh Web settings page that manages per-environment credentials locally and applies them on the next tool call without a restart.

Three-layer memory for DeepSeek Harness — a small always-on core block plus on-demand topic files (profile, preferences, decisions, lessons), with source-annotated writes and supersede-not-overwrite history, so preferences and project constraints stop drifting between sessions. Local-first: no vector DB, no server, no outbound calls.

Long-term memory on top of mem0 and a local Chroma store: user profile and recalled facts injected through the system prompt, capture at session end, a nightly pass that dedupes, merges paraphrases and resolves contradictions, a persistent topic graph written as Markdown cards, periodic export to a git repository, and a full-page memory UI with search, bulk merge, snapshots and undo. Needs a manual Python venv setup plus LLM and embedding API keys before use.

Adds a Timestamp toggle to the composer; while it is on, each message you submit is followed by a hidden context message carrying the current local time, so the model knows when you sent it. The switch is remembered per conversation.

Offline LAN chat inside DSH: direct chats, group chats and file transfer between machines running the harness on the same network, with UDP auto-discovery, CIDR scanning to add contacts, an optional access code (unset by default), local-only contact aliases, per-message and per-conversation deletion, and a configurable per-file limit. The host opens its own HTTP/WebSocket port for peers, and the plugin imports only node built-ins.

Registers the models of a local workbuddy2api-hub gateway into DSH as one OpenAI-compatible provider per gateway API key, each key keeping its own model selection, and shows the main key's credit balance plus today's and this week's tokens, credits and API-equivalent cost in a sidebar badge. Requires workbuddy2api-hub running locally.

Applies the Naihuangxin appearance preset with settings backup and restore. A preset for elysia395/dsh-wallpaper-engine 1.4.0; that plugin and the local Naihuangxin wallpaper (Workshop 3808236079) are required.

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.

See what a conversation actually costs: how many model requests, how big the system prompt and tool table are, cumulative tokens, estimated spend, and how far you are from automatic context compaction. Reads the local session log only; never calls a model, never adds a word to the system prompt. Token and spend figures are estimates from character counts, not provider usage.

Tree-style questioning for DSH: click "Ask in tree" on a selection to add a node to the right-sidebar tree and ask inline under it; clicking another node makes it the current parent, so later selections nest there, Alt+click opens a root node, Ctrl+click appends another passage to the same node, double-click jumps back to the quoted text, a red/green dot marks each node as understood or not, and the panel switches between a list view and a horizontal branch graph. "Add to composer" instead puts the quote into the input box as a reference chip, without creating a node. Nodes live in localStorage and nothing is injected into the prompt.

Replace the DSH solid background with a local image, with a draggable editor for fit, blur, veil and interface opacity.