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.

Companheiro de sessão com quatro módulos: exportação inteligente de conversas (Markdown/PDF/JSON/imagem longa PNG, com redação de privacidade e ZIP em lote), resumos de transferência de contexto com salvamento/importação de modelos, otimização de custo de API (preços oficiais em tempo real, agendamento por horário de pico/fora de pico, orçamentos diários/mensais, roteamento de modelos) e busca global em conversas com localização no chat (Ctrl+F, CSS Custom Highlight API)

DSH Pet Corner: um pet flutuante, proxy de imagens de pet sem necessidade de key, favoritos e uma API de configurações própria do plugin

Plugin do DeepSeek Harness que conecta imagens da sessão a APIs de visão plugáveis, mantendo o DeepSeek como o modelo principal

Ferramentas `web_search`, `image_gen` e `image_vision` baseadas no Codex para o DeepSeek Harness, reaproveitando o estado de login OAuth do ChatGPT

Ponte de visão nativa do provedor LLM: imagens coladas no chat são descritas por um modelo de visão (Qwen3-VL via pi-ai/llama.cpp), e a descrição em texto é enviada ao DeepSeek somente de texto para a resposta — admissão de imagem, roteamento e compactação passam pelos mecanismos nativos do harness, com cache de descrições LRU e nova tentativa em erro 503

Imagens anexadas no compositor são transcritas para texto por um modelo de visão compatível com OpenAI antes de chegar aos modelos DeepSeek somente de texto

Renderiza caminhos de imagens locais das respostas do assistente diretamente no corpo da mensagem (9 formatos, lightbox com zoom ao clicar, tamanho ajustável)

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.