Plugins

Hands-free voice for DSH on Windows: local wake word, local Chinese speech-to-text inserted and sent into the composer, and spoken replies that can be interrupted and resumed. Requires a one-time run of the bundled install.ps1 (Python speech dependencies plus microphone pick) and a SenseVoice model already downloaded by the DSH voice input (or placed under models/sensevoice-onnx).

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

Weather card once per session: remembers your home city so a VPN never moves it, inline city picker, theme presets, custom separators, optional TTS hook for third-party voices.

Natural, human-sounding voice for the dsh harness: server-proxied neural TTS read-aloud and agent speech tools over OpenAI-compatible endpoints, browser-native or Whisper speech input, and a Voice settings section

The DSH app also doubles as a desktop pet: wake it with your voice, talk out loud, and give orders by speaking. Reach the DeepSeek Harness running on your own computer over LAN, your own domain, or a relay server — and chat with the little whale working in your project to put it to work. Travelling without your laptop is no longer a problem.

Standalone QQ-bot extension pack for DeepSeek Harness — fully independent, no other plugin required. Two-layer SQLite memory with hippocampal recall, a persona that keeps learning from daily chats, group tiers, local-model quick replies with a single-brain arbiter, TTS outbox, sticker library, an approval-gated video studio, and a four-form desktop pet (three custom characters plus the stock fish) playable over a public invite link with access-code login, single seat and brute-force protection. Chat bridging is deny-by-default: c2c/group access defaults to a care mode that only responds to the special-cared people and groups of the owner (shared with the persona system, zero extra config); allowlist, open and disabled modes remain available. First-run defaults (persistent inbound dedupe, configurable outbound-hook budget, optional default permission preset, extension seeding) are written only where nothing was configured and never overwrite user changes. Interview and quiz practice run inside chat with local scoring and configurable transcript retention. Requires QQBOT_APPID and QQBOT_SECRET, and Node.js 22.5 or newer.

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.

看屏幕陪玩/陪看剧/陪写代码的 DSH 插件：自动截图 → 多模态理解 → 人格化台词（带情绪）→ TTS + RVC 语音朗读，支持双色桌面字幕与最多三角色陪玩。

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.

Live2D session view with realtime voice: continuous voice input, streaming TTS, subtitle translation, multi-model catalog, standalone entry / Live2D 实时语音会话视图：连续语音输入、流式 TTS、字幕翻译、多模型目录、独立入口

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.

Adds a speaker button immediately right of the Like button on every finalized assistant reply; click it to hear the reply through the browser speech engine, and hover it for a speed and voice panel. Text is sent to an unofficial Edge TTS endpoint.

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

Reads AI replies aloud as they stream, with voiced waiting phrases while the model thinks. Edge TTS built in, any OpenAI-compatible cloud engine supported.

Voice announcements when a conversation ends (session title, round, outcome) plus live sentence-by-sentence reading of replies, via built-in edge-tts with zero third-party dependencies.

Audio Copilot for DeepSeek Harness: transcribe audio (ASR) and synthesize speech (TTS) — gives text-only agents ears and a voice. Windows-local SAPI TTS out of the box; OpenAI-compatible ASR/TTS endpoints configurable. Includes an in-composer voice-input

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

End-of-turn voice summary: the model calls voice_say once before finishing a reply so the conclusion is spoken through Breeze TTS, with Chinese bracket audio tags (laughter, sighs, pauses) and optional performance instructions. Audio is synthesized host-side and played from browser memory without ever touching disk; the character limit is a writing target for the model, not a cut-off, so long lines still play in full. The API key stays in the credential store, and an optional daily Breeze check-in is included. Needs a Breeze API key and sends the spoken text to the Breeze service; its HTTP routes (including the settings route that stores the key) have no DSH access check.

Reads Harness replies aloud with the MOSS-TTS-Nano-100M C++ CPU engine: fully offline with no API key, one-click engine download verified against the release sha256sums.txt, auto-read of settled replies plus a read button on every reply, and playback that starts while synthesis continues. The weights are installed once and shared with the companion CLI and web playground. Windows x64 only, because the engine ships for that platform only.

Hold right-Cmd and talk — local SenseVoice STT, a fixed DSH session with voice-triggered rotation, and streaming CosyVoice2 TTS with emotion voices and an optional Live2D overlay.

Connects all seven Qwen Token Plan Harness-entitlement MCP services (enhanced search, web fetch, code interpreter, vertical search, image, TTS, ASR) plus the decision-model-preview model (qwen_decide) as native tools, with a per-service on/off and live-status panel.

Shows a Kobe iced-tea side popup and reports per-turn costs or token counts with bundled offline audio. Uses dsh-cost-meter first, or estimates each request from native usage and public prices. Includes twenty cost phrases, four token phrases, CNY/USD, three-decimal rounding and custom previews; no runtime TTS service or API key. The bundled voice clips are pre-synthesized offline and the portrait is a fan-made image; the package declares UNLICENSED. When it has to estimate a cost itself it fetches a public price table from raw.githubusercontent.com (Han-1413141/dsh-cost-meter) and the USD/CNY rate from open.er-api.com, at most once a day, and sends no session data.

Add-on layer over the official QQ bot plugin @tencent-connect/dsh-qqbot: gates group messages before they reach the agent (probability, debounce with backlog, invalid-message filtering, admin approval before reading attachments), greets idle private chats, and adds emoji stickers via dsh-meme, TTS/ASR voice replies, image generation and one settings page. Needs the official QQ bot plugin installed (plus dsh-meme for stickers). Group gating defaults to a 25% chance and only applies when mentions are not required; the private-chat greeting is on by default (22:00-08:00, at most 3 a night, only to chats that wrote first); voice and image generation call endpoints you configure; with no admins configured nobody can approve attachments.