Plugins

LAN access for the official DSH Web UI through a gated reverse proxy: DSH keeps its own loopback binding, and a second port adds a password gate, self-signed HTTPS and per-device pairing that can be revoked individually, with a QR code to open it from a phone.

A minimal phone remote control for DeepSeek Harness: the phone page carries only the instruction you send and the AI's final conclusion, while tool calls, file access, sub-agent dispatch, and reasoning traces stay on the computer, reachable over LAN, Tailscale, or a Cloudflare tunnel with a QR code, link, and password for each route.

Huawei HarmonyOS assistant-today (负一屏) task-completion push for DeepSeek Harness: hiboard_push / hiboard_verify tools post Markdown task results to the phone card feed, wire-compatible with the OpenClaw today-task skill, with the authCode managed from the dsh settings panel.

A judgment core for DeepSeek Harness: a cognition loop that gives every decision a source and attribution and drives planning to a close, hippocampus memory that condenses running experience into knowledge (journal ledger, episodic archive, low-confidence decay), judgment identity responsibilities in the architecture (consistent rubric, judgment bound to its source), and an A2A memory-management team via dsh-linghun-assembler. Requires DSH ^0.1.0-rc.7 (rc.2 supported).

Per-message delete for DSH: remove a user message, one reply step, or a whole assistant reply from the derived model context through the official surface-replace contract, and hide it from the visible transcript without rewriting the append-only log.

Switchable liquid-glass theme for the DSH web UI — 14 panels become frosted glass over a fluid backdrop, with material sliders and hover elasticity.

DeepSeek Harness plugin that keeps the agent's green claims honest: verification runs become receipts, edits are tracked, and a stale, failed or masked "all tests pass" is turned into a rerun instead of an ending.

Read assistant replies aloud in DeepSeek Harness: text-to-speech providers with streaming playback.

Automatic approval and review for tool calls that need approval: keyword buckets match red lines without context, then a judge model classifies what was requested and sends it to allow, reject or a human according to the matching row and risk level; a judgment that never ran always goes to a human, and rejections tell the model why.

Unit conversion toolbox covering 20 categories — length, mass, temperature, area, volume (incl. US cooking units), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration incl. g-force, illumination (lux / foot-candle), pressure, energy, angle, frequency, power incl. three horsepower definitions, force, torque, typography (px/pt/em/rem), and fuel economy (mpg ↔ L/100km). Two tools — convert_unit and list_units — zero runtime dependencies, pure arithmetic; each result includes the formula applied.

Adobe Lightroom Classic as native dsh tools through the lightroom-py MCP server: read the catalog, apply develop settings and presets, export JPEG/TIFF/PSD/DNG, and write ratings, labels, keywords and IPTC — 15 tools driving the Lightroom Classic installed on the local machine, no cloud round-trip; the Python package is on PyPI and the Lightroom plugin installs with one command.

Manage archived DSH sessions on Windows with search, batch restore and deletion, AI-assisted file retention, and verified local or network-directory backups.

Aqua glassmorphism theme for the DeepSeek Harness web UI: mica and compatibility modes with adjustable blur and frost, fluid or wallpaper backdrop, background brightness, particle-whale accent, and a master switch that restores the stock UI.

Voice assistant for dsh web: say the wake phrase (e.g. "小鲸") to activate hands-free dictation — what you say is transcribed and typed into the chat box automatically. Supports spoken edit commands (send, clear, new line, stop reading) and reads assistant replies aloud in Chinese. Speech recognition runs locally in-browser via sherpa-onnx WASM, so it works offline without an API key.

Continuous voice conversations for DSH with hands-free listening, push-to-talk, speech recognition, TTS replies, and background Agent delegation.

Real-time local TTS for DeepSeek Harness: voice presets, auto-read, engine setup assistant, a read-aloud button, and a settings panel for the GSV-TTS-Lite engine.

Config-driven development-task orchestration for DSH: graph workflows (task/gateway/human nodes) with per-stage persistence, plus an in-editor AI assistant that configures workflows through conversation with live validation. Hand documents to nodes as generic attachments (no declaration needed): files land in the task workspace and ${inputs.附件} gives the newline-joined absolute paths, so a node parses them with its own prompt.

Liquid Glass refraction input card for the DSH web GUI, with coupled-spring press animation. Published on npm: dsh plugin --profile web add dsh-liquid-glass-input.

Runs 3 or 5 coding-agent candidates in detached Git worktrees, validates their patches with project commands, ranks only passing candidates, and requires separate approval before applying the winner.

Genuine Liquid Glass theme for DSH Web UI: SVG feDisplacementMap edge refraction on input card, send button, bubbles, view tabs, queue dock and sidebar. Built-in animated demo wallpaper, customizable background blur & brightness, redesigned model selector popup, glass-styled buttons throughout, and a unique water-drop settings icon.

Bayesian stock prediction plugin that fuses MACD, RSI, moving-average, volume and other technical signals into an up-move posterior probability with multi-horizon comparison, trend-state classification and position risk metrics for A-share and US stocks.

A self-evolving plugin for DeepSeek Harness: it observes how the agent runs, proposes improvements to its own assets via the LLM, validates each proposal inside a sandboxed trial agent, and applies only verified mutations — with a versioned ledger and automatic rollback on regression.

A sidebar assistant plugin for the Web interface, allows users to select any text, displays the model’s reasoning process and final answer in a floating panel.