by ziyouti

Read DSH replies aloud with natural neural voices: sound-wave play button, sentence highlighting, pause/skip, custom highlight colours and auto-read.

Adds a right-column panel that compares a set of images the user picks from the workspace — 1/2/3/4/6 per page, per-image zoom and pan, the zoom and viewed position of one image synced onto the whole

Offline voice input for the DSH Web UI: mic to local FunASR (SenseVoiceSmall), one-click install, no cloud.

Turn every idea into an image or video with Kling AI. In DeepSeek Harness, use natural language for text-to-image, image-to-image, text-to-video, image-to-video, reference-image creation, task trackin

Per-workspace completion ringtones plus attention sounds for approval, question, plan-review, goal-blocked, and task-failure events, with built-in synth, voice (TTS), and custom audio.

Turn any book into an audiobook inside DeepSeek Harness (dsh) · Search Books Listen: Import a book, and it reads it aloud to you inside DSH

by zhiwuli0228

Digests the images in a prompt with a vision model before admission, so any model — a text-only one included — can read them without the session ever switching models, and adds a describe_image tool f

by 1497105876

MiMo TTS speech synthesis for DeepSeek Harness: a configuration card on the Plugins page, a speak button under every finalized assistant message, and an inline player with a draggable progress bar

by 544244857

Registers an `image2_generate` tool that calls your own OpenAI-compatible image relay to generate or edit pictures (text-to-image via POST /images/generations, image-to-image via POST /images/edits wi

Structured image recognition: local sharp measurements plus a cloud vision model return description, OCR with coordinates, object locations and fine-grained attributes in one call; a fingerprint cache

Native vision capability extension, using either Zhipu (free) or Qwen-VL (local).

Two-way voice for the DSH web app: dictate with the unified composer, hear replies with speaker buttons and auto-read, on any device. Needs DSH 0.1.7+, Node 22+, Python 3 with numpy and requests, a TT

Synesthesia Encoder for DSH: a vision model translates images into compact structured spatial text (canvas/elements/percentage coordinates), giving text-only LLMs pixel-level image understanding via t

Registers two tools for DeepSeek Harness. `doc_ocr` turns scanned PDFs and images into structured text (per-page text, financial tables with a balance-sheet tie-out check, contract-clause hits) throug