Plugin

Docker tools for agents: ps/images/logs/inspect/exec/manage with JSON output, env-configurable CLI path, approval-gated exec and zero runtime dependencies.

Customizable brand area for the Web UI: replace the whale logo and DeepSeek wordmark with local images, and edit the HARNESS badge text (double-click to change, right-click to reset).

Drag & drop or click to attach any non-image file (PDF/Word/Excel/ZIP/text) into the composer: in the desktop shell it resolves the real Finder path instantly; otherwise it uploads to the workspace and inserts the path.

Compagno di sessione a quattro moduli: esportazione intelligente delle conversazioni (Markdown/PDF/JSON/immagine lunga PNG con redazione della privacy e ZIP in batch), riepiloghi di passaggio di contesto con salvataggio/importazione di template, ottimizzazione dei costi API (tariffe ufficiali in tempo reale, pianificazione picco/fuori picco, budget giornalieri/mensili, instradamento dei modelli), e ricerca globale nelle conversazioni con ricerca in-chat (Ctrl+F, CSS Custom Highlight API)

DSH Pet Corner: un pet flottante, un proxy di immagini pet senza chiave, preferiti e un'API di impostazioni gestita dal plugin.

Plugin per DeepSeek Harness che collega le immagini di sessione ad API di visione collegabili, mantenendo DeepSeek come modello primario

Strumenti `web_search`, `image_gen` e `image_vision` basati su Codex per DeepSeek Harness, riutilizzando lo stato di login OAuth di ChatGPT

Bridge di visione nativo del provider LLM: le immagini incollate in chat vengono descritte da un modello di visione (Qwen3-VL via pi-ai/llama.cpp) e la descrizione testuale viene passata a DeepSeek solo testo per la risposta — ammissione delle immagini, instradamento e compattazione avvengono tutti tramite meccanismi nativi dell'harness, con una cache LRU delle descrizioni e retry sui 503

Le immagini allegate nel composer vengono trascritte in testo da un modello di visione compatibile con OpenAI prima di raggiungere i modelli DeepSeek solo testo

Visualizza i percorsi di immagini locali dalle risposte dell'assistente in linea nel corpo del messaggio (9 formati, lightbox con zoom al clic, dimensione regolabile)

Discord-native remote controller for DeepSeek Harness: drive persisted coding-agent sessions from DMs, mention-gated guild channels, and threads, with slash commands, progress updates, approvals, structured questions, and image and text attachments.

In-chat preview for produced files: click a produced-file chip to render Markdown (server-side markdown-it + highlight.js), images, or plain text right in the conversation; system-app open and reveal-in-folder stay one click away.

Preview Mermaid diagrams as images via local rendering in DSH Web when the chat message contains a Mermaid fenced code block, and also allow integration with external rendering servers.

Universal image generation for DeepSeek Harness: auto-discovers image models from any OpenAI-compatible endpoint (SenseNova, StepFun, Agnes, Qwen, Flux, SD, Imagen and more), with agent tools and REST API.

Renders pasted/uploaded images inline in the DSH Web chat and gives text-only models vision: the model-invokable visual_review tool calls any OpenAI-compatible multimodal API first, falling back to a local Qwen3-VL worker.

Vision-augmented DeepSeek adapter: a vision-capable model describes image input, then a text-only DeepSeek model reasons over the description.

Full vision-capability bundle for DeepSeek Harness: a vision_understand tool (OpenAI-compatible vision APIs, free Zhipu GLM-4V-Flash by default) plus paste/drag-and-drop/button entry points for image recognition.

Local OCR for attached images via Tesseract: only the recognized text is sent to the model, never the image bytes; vision passthrough is opt-in.

GPT Image 2 `image_gen` with Codex subscription OAuth by default or explicit API-key mode: developing card, up to three live API partials, durable attachment replay/lightbox/download, text-only model output, and bounded credential-safe requests.

Vision bridge for text-only DeepSeek routes that analyzes attached and local images through configurable OpenAI Responses, Chat Completions, or Anthropic Messages endpoints while leaving image-capable routes native.

Combine text, vision, and image-generation APIs into one Mix model with automatic routing: text-only requests go to the chat model, user images and agent screenshots go to the vision model, follow-ups keep using the same session image, and agents can generate or edit images with session-scoped call history.

Free vision bridge for text-only models: image understanding, OCR, UI and debug analysis via free-tier providers (Qwen3-VL-Flash, Doubao, DeepSeek-OCR) with a settings GUI.

Sticker/emoji expression for assistants: emotion-driven auto-matching, library management, AI image tagging, dialects, style mimicry, and chat-based tag refinement.