Plugins

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

Local image, voice, music and SFX generation plus transcription, with pinned identity: characters, animals, objects and actor voices are defined once and reused on every later call, degenerate output (a near-flat image, silent audio) is rejected instead of returned as success, and a generated line can be read back as text so a clone that swallowed its ending becomes visible. The engines unload when idle, and image generation and transcription can each be pointed at an OpenAI-shaped API instead of the local Vulkan backend.

Voice input for the Web UI: a mic button that drives local VocoType offline speech recognition and auto-inserts recognized text into the composer (auto-deploy, dedupe, continuous dictation).

Speech-to-text voice input for the web UI: a mic button in the composer transcribes speech into the draft via the browser Web Speech API (zero-config) or an OpenAI-compatible Whisper API (OpenAI / Groq), with a selectable model and language in Settings.

Notification outbox: agent proactively notifies via toast / Chinese TTS voice / sound effects (explosion, victory, alarm), 60s confirmation window voice-calls you back, volume boost, settings panel.

Voice notes in, spoken answers out: dictate audio that becomes user messages (transcribe), have the agent read replies aloud (speak), local-first under ~/.dsh/voice.

Microphone voice input for the composer: browser Web Speech API live transcription, dedupe/auto-continue, smart punctuation, language and auto-send settings.

Five animated K-ON! character pets for the DSH web interface, with dragging, voice playback, and a tea table.

Makes the dsh-pet desktop pet read model replies aloud in its own configured voice. Newer dsh-pet gets the whole text in one request (up to its 500-char cap); older versions automatically fall back to 60-char chunks. Each piece is verified against the pet log to confirm it actually played.

Breeze Blue text-to-speech for DeepSeek Harness: agent tools, reply playback, voice design and a settings page.

Sidebar IM stand-in for DeepSeek Harness. Reuses your logged-in Feishu/Lark, WeCom and DingTalk CLIs (DingTalk is enabled from the panel) to poll only the chats you watch; an @-mention or a new message wakes the bound DSH session, which reads context, researches and drafts a reply in your voice. Each watch has its own draft-approval / auto-send mode and a three-state attention level, and new groups are triaged by the agent. Blocked chats are never fetched, message bodies stay on this machine, and the plugin opens no port of its own.

Development-preview DSH plugin to import recordings from compatible BLE recorder cards, with optional transcription and fingerprint-linked archives. Requires recorder hardware, Host Bluetooth and Python dependencies.

Brings Harness conversations and tasks into a Live2D character on the Windows desktop, with drawer-based memory. The desktop app includes the whale girl 哦鲸鲸 as its default character. The modular design supports optional voice components for voice conversations and custom character voices.

Desktop pet for DSH with voice chat, personas, memory, Bilibili and QQ context, and command-gated computer control; enable DSH built-in voice input first to use voice chat. A fork of dsh-pet (MIT), not installable alongside the original.

Columbina mascot for DeepSeek Harness: a 2D live pet on the desktop and inside the web panel, with four sprite sets, 76 official voice lines in Chinese, Japanese and English, weather reports, sticker moments, idle whispers, and a right-click menu for the sprite switch interval, sprite set, language and scale. Also includes quiet hours, volume with one-click mute, a searchable idle-action picker, and a power-save mode. It is a 2D-only fork of PC2005-cloud/dsh-pet (MIT) with upstream's 3D skin switching removed; it uses its own plugin id and can be installed alongside dsh-pet.

Customizable startup animation for DeepSeek Harness with eight bundled clips, random rotation, tail fade and time-of-day greetings. Based on lxj5820/dsh-boot-animation, so do not install it with the upstream plugin; bundled clips and the welcome voice carry their own media terms.

A photo-real desk pet for the DSH window: five personas with five expression sprites each, whose dance, hair-flip and walk actions play as 24 fps VP9 alpha video clips, plus a single-shot stage clip that walks to the centre, dances and walks back without cutting; proactive lines with an optional edge-tts neural voice, ink / confetti / cloud / fog / bomb effects, a right-click menu and a /dsh-pet command, plus a small chat box that answers through a one-shot host model call without writing to your session. UI text ships in en, zh, es, pt and hi.

An Astra Yao desktop pet for the DeepSeek Harness web GUI that renders the Codex v2 8x11 sprite atlas, follows session state through thinking, running, waiting and failed, shows a status bubble with the running tool and a DeepSeek balance readout (on by default, can be switched off), and quotes her own voice lines while idle.

Connects the Xiaozhi voice assistant to DSH Web over MCP: DSH is the tool provider, weaving 35 DSH Web endpoints into 16 voice-friendly tools for workspaces, sessions, chat, models, settings and files — outbound WebSocket to the Xiaozhi MCP access point by default (no public IP or port forwarding needed), several devices bound at once, plus a DSH settings page with live status.

Per-reply read-aloud with a multi-provider settings page — MiniMax or any OpenAI-compatible /audio/speech endpoint, with voice, emotion, speed and model selection plus an auto-read toggle.

Voice or sound cue when a turn finishes and a failure cue when a tool call or turn errors; user aborts stay silent and subagent sessions are skipped by default. Three modes: voice (Volcengine TTS with cloned or preset voices, fingerprint reuse so unchanged text is not re-synthesised), effects (20 built-in sounds assignable to done, fail and approval, with per-row preview and no API key; the approval slot has no automatic trigger, so it plays only manually) and off. Plays through winmm without touching system volume. Windows only. Adapts DSH kernel 0.2.2-rc.1.

English word bank for one or more children, built for DSH 0.2 and newer (0.2.0-rc.1 and 0.2.0-rc.2 verified, including the desktop shell; 0.1.7 through 0.2.x all work). 1.10 added pronunciation: in the memory cards and in the online quiz every word and every example sentence has a speaker button that reads it aloud with the built-in Windows voice - offline, with no network call and no model call - and the whole batch of audio is pre-rendered in the background whenever cards or an exam are generated, so a click starts instantly. 1.11 adds: pick words in bulk straight from the library (10 at a time, top-down, up to 50 selected, with a live counter); turn the words a child got wrong in a quiz into a one-click review set - an online card page that speaks plus a printable PDF; and every card example sentence now carries its Chinese translation underneath. Words marked on textbook or workbook photos (highlighter, red pen) are found by their marks, then translated and stored in a local SQLite bank with an occurrence count; the clipboard picker, the photo route and dictation all land in the same bank. High-frequency words surface by count, three correct answers in a row flag a word as learned, and any selection prints as a memory card set (a word split into chunks, real IPA per chunk, a grade-7 example sentence, a mnemonic hook, an A4 sheet of eight) in HTML, PDF or Word, with a print-and-answer exam page whose four options are set against each other for meaning. On 0.1.5 the settings panel does not appear - install dsh-word-vault@1.0.2 instead.

Voice conversation mode for the DSH Web GUI: tap the mic to start a full-screen call, talk hands-free, and hear each reply read aloud as it streams. Bilingual (Chinese/English) UI, light and dark themes, adjustable speech rate, and switchable voices.

Parse Chinese e-invoice PDFs (XML attachment first, text-layer regex fallback) into structured JSON with amount cross-check, and generate expense reports (Markdown / xlsx).