비전, 음성 및 멀티모달

DeepSeek Harness용 비전 툴킷 -- 텍스트 전용 에이전트가 이미지를 이해할 수 있도록 하는 glance, ground, detect, crop CLI 도구

DeepSeek-Harness 이미지 생성 플러그인. Yali AI API Key 신청: https://api.yaliai.com/

DeepSee: DeepSeek Harness 비전, 멀티 모델 라우팅, 전달 전 Gemini 시각 자체 검증

텍스트 전용 DeepSeek Harness(dsh) 모델을 위한 플러그인 비전: 저가/무료 VLM 프리셋이 내장된 `vision` 도구, 다중 이미지 배치 분석, 붙여넣기로 힌트를 주는 이미지 수신, 핫 리로드를 지원하는 웹 설정 페이지

DeepSeek Harness용 인격화 컴패니언 플러그인: 캐릭터 카드, 음성, Live2D, 로컬 메모리, 작업 동반 기능을 제공합니다.

브라우저 Web Speech API 음성 입력: 서버 불필요, 키 불필요, 모델 다운로드 불필요(Edge=Azure, Chrome=Google 음성)

DeepSeek Harness plugin: web browsing tools (markdown / screenshot / pdf / crawl) powered by Cloudflare Browser Run — real headless Chrome with JS rendering, login sessions and WebMCP support.

Animated kite that responds to agent activity, with configurable kite frames, patterns and colors, plus user-supplied image textures.

ZCode CLI app-server relay for DeepSeek Harness, with GLM streaming, image input and session reuse using an existing Start Plan login; requires the ZCode client.

fal.ai native image generation for DSH: a FAL_KEY settings card that follows DSH's language (zh/en, English default) plus Agent tools (fal_generate_image async / fal_edit_image / fal_get_image_task / fal_list_image_models) that call queue.fal.run directly

Opt-in DeepSeek Harness skill bundle that turns course, lecture, tutorial, documentary, meeting, and talk videos into structured study notes.

这是dsh的插件，语音发送弹幕。在玩游戏时通过语音输入在b站发弹幕，不切出游戏可以正常操作

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.

Speaker button beside the composer microphone — one click scrolls to the start of your newest question, marks it with a blinking caret and reads from there through the newest agent reply (dsh-tts, browser voice as fallback); press-and-drag-right picks any other reading start position on the page, press-and-drag-up opens a vertical mixer for in-page media volume and system output volume.

Scene-awareness probe for DSH on macOS: a privacy-first, pull-model `look` tool that reads the frontmost non-self window (app info, AX title/selection, gated local OCR), plus a summon-hotkey snapshot captured the instant you press.

Agnes AI image/video generation tools (agnes_image / agnes_video) for DSH (DeepSeek Harness). Built-in cross-process RPM rate limiting, 429 backoff and local ffmpeg GIF conversion.

DSH plugin: audio chimes, cross-session toasts, desktop push, and IM webhooks for turn completion, errors, and approvals.

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.

Speaks or plays a sound at the end of every turn and plays a failure cue when a tool call or a turn errors. Ships 20 built-in effects (10 alert chimes + 10 nature sounds) and defaults to effect mode, so it needs no API key and no audio files; an optional Volcengine voice-clone route generates the three announcement clips in one click. Plays through winmm/waveOut as-is, never changing the system volume or mute state. Windows only.

Agent screen capture on macOS and Windows: one tool captures the screen and returns the image itself, so the model sees it without a second call. On Windows a whole burst runs in one engine call; on macOS a resident helper drops a region capture to 13ms and a change check to 23ms. A second tool, macOS only, reports whether Screen Recording is granted and opens the settings pane that fixes it.

Large-image recognition for vision-exp models: lossless 800×800 tile recognition (smart/pipeline/full), local OCR with preprocessing & handwriting routing, optional multi-vendor GPU (DirectML/CUDA/OpenVINO) with auto CPU fallback.

A speech-to-text (voice input) plugin for DeepSeek Harness.

开口即成文 · Speak-to-prompt for DeepSeek Harness：云端 ASR 语音识别 + 提示词优化 + 填入草稿/自动发送，跨平台 macOS / Windows。