Plugins

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.

Reads assistant replies aloud via Fish Audio API only (bring your own key): per-message read-aloud, auto-read toggle, and a settings page for model, voice reference_id, encrypted API key, and proxy.

Reads each reply aloud through the BreezeBlue / Breeze TTS 2 API. Synthesis starts as soon as the reply first sentence is complete rather than after the whole reply, and the audio is streamed as raw PCM into Web Audio so it plays continuously while it arrives. Needs a BreezeBlue API key, entered on the settings page or via BREEZE_API_KEY; a key saved on the settings page is stored as plain text in ~/.dsh/breeze-speak.json. By default only the first sentence of each reply (up to 120 characters) is spoken, and that text is sent to api.breeze.blue. The default voice is just an example, so pick one available to your account on the settings page.

Text-to-speech for the dsh-go native phone UI: long-press an assistant reply to read it aloud through Xiaomi MiMo TTS or ByteDance Doubao Seed TTS. The reply is segmented and pre-synthesized in the background after each turn, so one tap hands the app a single continuous MP3 instead of one short chunk per tap; playback has a stable lease so stop works, a status strip and progress bar give live feedback, and audio can be exported to phone storage. Keys stay on the device (0600) and are never rendered, committed, or sent to the model.

Text-to-speech service with Doubao TTS 2.0, Alibaba Bailian and OpenAI-compatible providers and a user-chosen voice; the agent speaks through tts_service_say, split into segments with an optional tone each, and other plugins can reuse ctx.ttsService.

Read Markdown aloud, dictate and transcribe audio, and export narrated media from Harness.

Turn a script into a narrated explainer video: text-card slides by default (fast and exact for tutorials) or AI-generated footage per segment (needs AGNES_API_KEY); 14 online neural Chinese voices plus 3 offline Windows voices, with a one-command sample pack for picking a voice by ear. Requires ffmpeg, and the bundled video-remix skill copied to <workspace>/.dsh/skills/video-remix with npm install run there for the online voices.

媒体插件家族：一次安装 Qwen 与 RunningHub 媒体能力，并提供跨 provider 的全局设置。

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.

Let DSH speak: every reply is rewritten into natural spoken language before being read aloud, with code, tables, and Markdown handled gracefully. Works out of the box with system TTS; Doubao (third-party API) adds dialects and expressive voices; the local Kokoro engine runs offline to keep content on your device. Supports both DSH desktop and dsh web. Optional session sounds tell you when the agent is working, finished, or waiting for your answer — with swappable built-in tones and support for your own audio.

Qwen media tools: multimodal video and audio understanding, text-to-speech with preset voices, and scene audio generation, through Alibaba Cloud DashScope.

Reads each reply aloud after rewriting it into spoken style: system TTS, Doubao speech synthesis, or an optional local Kokoro model.

Local GPT-SoVITS text-to-speech for DSH: reads replies aloud, switches voices from the right sidebar, and trains a new voice from a dropped audio sample. First run downloads an 11.4 GB engine and needs an NVIDIA CUDA GPU.

Cloudflare Workers AI media tools for dsh - text-to-image, text-to-speech and speech-to-text. Per-model price badges, a native settings card, reuse of an existing Cloudflare account, and output files named after the model that made them.

Grok model provider for DeepSeek Harness with model discovery, image and video generation, text-to-speech tools, and durable local media tasks over an OpenAI-compatible gateway.

OpenAI provider for language models, embeddings, text-to-speech, speech-to-text, and image generation in DSH. Requires Firefox2100/dsh-ai-providers#runtime to be installed and enabled.

Speaks your agent's reports in a voice you choose, compressing long reports before speaking. Character voices need no training - a 3-10 second reference clip clones one, and community-trained models work too - and no 6.4 GB GPT-SoVITS install: the plugin installs its own runtime and voice. An existing GPT-SoVITS can be used instead, and it is the same voice model.

Local-first voice conversations for DSH, with local speech recognition and synthesis and optional external providers.

MiniMax 语音识别（asr-1.0）+ 语音合成（speech-2.8-hd）的 DeepSeek Harness 全局插件：转写工具、任务结束后用喇叭念一句的播报、实时免手对话、303 个音色可选

Voice for DeepSeek Harness（dsh） — speech-to-text input + read-aloud TTS for text-only DeepSeek, zero API key.

Continuous voice conversation for DSH: auto sentence splitting, a 2-second confirm window before sending, and spoken replies you can interrupt by speaking. Speech is recognised by DSH's own speech service by default (a local Whisper bridge or an OpenAI-compatible endpoint can be set instead), the recognised text is corrected by a DSH model call, and replies are read aloud through Microsoft Edge's online text-to-speech service, so reply text is sent to Microsoft. A daily check of PyPI and Hugging Face for faster-whisper updates is on by default; settings and any API keys are stored in plain text in ~/.dsh/voice-tutor-config.json. Its /voice-tutor routes require an authenticated DSH session (admission is checked per request), API keys are never returned, and applying an update needs a one-time confirmation token.

Text-to-speech for DeepSeek Harness through Xiaomi MiMo TTS, needs a XIAOMI_API_KEY: a mimo_tts tool that writes audio to a local file, a read-aloud action on each finalized answer, auto-read, and a sidebar panel for built-in voices, voice design by description, or voice cloning from an mp3/wav sample. Same package name as lengmodkx/dsh-mimo-tts, so the two cannot be installed together.

Adds three session tools — create_image and edit_image over GPT Image or Gemini through the TLPro gateway, and speak for text-to-speech through xAI — plus a viewer in the chat UI for the images and audio they produce. Needs your own TLPRO_API_KEY and XAI_API_KEY, and publicOrigin and mediaDir set in the profile config.

Provider-agnostic text-to-speech for DeepSeek Harness: synthesize speech to local audio files, manage preset, cloned and designed voices, configure providers in a bilingual settings card, and read assistant replies aloud with optional auto-read.