플러그인

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.

4개 모듈로 구성된 세션 컴패니언: 스마트 대화 내보내기(Markdown/PDF/JSON/PNG 롱 이미지, 개인정보 마스킹 및 일괄 ZIP), 템플릿 저장/가져오기가 가능한 컨텍스트 핸드오프 요약, API 비용 최적화(실시간 공식 가격, 피크/오프피크 스케줄링, 일/월 예산, 모델 라우팅), Ctrl+F 채팅 내 검색(CSS Custom Highlight API)을 포함한 전역 대화 검색

DSH Pet Corner: 플로팅 펫, 키 없는 펫 이미지 프록시, 즐겨찾기, 플러그인 전용 설정 API를 제공합니다.

세션 이미지를 플러그형 비전 API로 연결하면서 DeepSeek을 기본 모델로 유지하는 DeepSeek Harness 플러그인

Codex 기반 `web_search`, `image_gen`, `image_vision` 도구를 DeepSeek Harness에 제공하며 ChatGPT OAuth 로그인 상태를 재사용

네이티브 LLM 제공업체 비전 브리지: 채팅에 붙여넣은 이미지를 비전 모델(pi-ai/llama.cpp를 통한 Qwen3-VL)이 설명하고, 그 텍스트 설명을 텍스트 전용 DeepSeek에 전달해 답변 생성 — 이미지 수신, 라우팅, 압축 모두 하네스 네이티브 메커니즘으로 처리, LRU 설명 캐시와 503 재시도 포함

컴포저에 첨부된 이미지를 텍스트 전용 DeepSeek 모델에 전달하기 전에 OpenAI 호환 비전 모델이 텍스트로 변환

어시스턴트 답변의 로컬 이미지 경로를 메시지 본문에 인라인으로 렌더링(9가지 포맷 지원, 클릭 확대 라이트박스, 크기 조절 가능)

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.