Plugins

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.

Compagnon de session en quatre modules : export intelligent de conversation (Markdown/PDF/JSON/image longue PNG avec rédaction de confidentialité et ZIP par lot), résumés de passation de contexte avec sauvegarde/import de modèles, optimisation des coûts API (tarification officielle en direct, planification heures pleines/creuses, budgets journaliers/mensuels, routage de modèle), et recherche globale de conversation avec recherche dans le chat (Ctrl+F, CSS Custom Highlight API).

DSH Pet Corner : un animal flottant, un proxy d'images d'animaux sans clé, des favoris, et une API de réglages propre au plugin.

Plugin DeepSeek Harness qui relie les images de session à des API de vision interchangeables, tout en gardant DeepSeek comme modèle principal.

Outils `web_search`, `image_gen` et `image_vision` adossés à Codex pour DeepSeek Harness, réutilisant l'état de connexion OAuth ChatGPT.

Passerelle de vision native au fournisseur LLM : les images collées dans le chat sont décrites par un modèle de vision (Qwen3-VL via pi-ai/llama.cpp), et la description textuelle est transmise à DeepSeek texte seul pour la réponse — l'admission, le routage et la compaction des images passent tous par les mécanismes natifs du harness, avec un cache de descriptions LRU et une reprise sur erreur 503.

Les images jointes au composeur sont transcrites en texte par un modèle de vision compatible OpenAI avant d'atteindre les modèles DeepSeek texte seul.

Affiche les chemins d'images locales des réponses de l'assistant directement dans le corps du message (9 formats, visionneuse zoomable au clic, taille ajustable).

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.