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Publish an HTML document as a shareable link that opens in one tap and previews as a card in chat apps; publish, update, and export to PNG/PDF/Word.

Mermaid diagram renderer for the Web UI conversation: renders mermaid code blocks into interactive cards (zoom, fit-width, fullscreen viewer, preview/code toggle) with official UI primitives, and keeps the original code block with an inline error banner when rendering fails.

Analyze a codebase and generate architecture documentation: module responsibilities, dependencies, entry points and run methods.

동시 세션용 원클릭 점프 사운드 알림: 현재 세션에는 또렷한 dang/dang-dang 음, 다른 세션에는 부드러운 ding/ding-ding과 답장 중인 대화로 바로 점프하는 오른쪽 위 카드.

모든 OpenAI 호환 VLM(로컬 Ollama 또는 클라우드)용 view_image 도구를 갖춘 채팅 이미지 첨부 브리지: 붙여넣거나 드롭한 이미지가 텍스트 전용 DeepSeek 모델에 도달하기 전에 view_image 경로 마커가 됩니다.

`describe_image` tool: a vision bridge that sends images to mimo-v2.5 through the opencode Zen API (credential `OPENCODE_GO_API_KEY`, free route first with paid fallback) and returns text descriptions for text-only models, with native passthrough and ImageMagick transcoding of SVG/TIFF/HEIC formats.

DashScope OpenAI 호환 API(qwen3.7-flash) 기반의 모델용 image_describe(识图) 도구와 붙여넣기 브리지: 텍스트 전용 세션에서 붙여넣은 이미지가 전송 시 파일 경로로 자동 변환되고 트랜스크립트에 다시 렌더링되어 이미지 허용 단계에서 걸리지 않습니다. DASHSCOPE_API_KEY는 BYOK, 엔드포인트/모델/예산 설정 가능, 리다이렉트 방지 HTTP 클라이언트, 모든 agent preset에서 동작.

Vision for any DSH route: paste images in the Web composer with intent-aware auto-analysis, delegate workspace image reads to a Kimi/MiniMax vision subagent, and materialize pasted originals for editing.

Auto-discovery vision bridge for text-only DeepSeek Harness agents: automatically finds an image-capable model from your configured providers and returns picture descriptions as plain text via a vision tool.

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

On-demand vision for text-only DeepSeek models: upload images, and the model calls a view_image tool backed by any OpenAI-compatible vision endpoint (Qwen/DashScope by default).

Plug-in vision for text-only models on DSH, with native interaction for image understanding and generation, GUI automation, through layered evidence memory and cache.

Local-first structured vision for text-only agents: images go to a local OpenAI-compatible VLM and come back as JSON evidence (summary, verbatim OCR, layout regions, entities/relations, colors, explicit uncertainty), with anti-hallucination fallback and an optional paste/upload bridge; zero cloud cost, images never leave the machine.

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 the `mm_vision` tool.

Reuses DeepSeek web's built-in vision mode for text-only models: the deepseek_vision tool drives the local deepseek-vision-cli browser automation (manual login helper, deep-think enabled, auto-closes browser) and returns image descriptions as text.

Routes chat images to a fixed OpenAI-compatible vision model, returns factual observations to the selected main model, and reuses session-scoped observations across replay, compaction, and restarts.

CDP bridge to an already-running Chrome/Edge for DSH: screenshots, pixel assertions, DOM/CSS checks, and page JS evaluation over HTTP + WebSocket, with zero child processes, zero npm dependencies, and zero per-use approval.

Drive Jiey Browser from DeepSeek Harness over MCP: navigate, snapshot, act, read, screenshot, and manage tabs in a real Chromium profile.

Exact-profile control of your real logged-in Chrome browser: an MCP server plus MV3 extension and authenticated localhost bridge for tabs, locators, file injection, media export, and durable scroll capture, with no debug profile or remote-debugging port.

Deep-collaboration writing agent for DSH: per-user writing-style learning from edit pairs, clarify→outline→section-writing→red-team→reader-gallery flow, project-to-report synthesis (lab report / product intro / survey / README), 41 MCP tools, and web selection-improve UI with in-app file preview.

bili_summary 도구 제공: Bilibili 영상 메타데이터, 자막 타임라인, sharp 기반 프레임 캡처. 오류 처리와 우아한 성능 저하 내장.

설정 페이지에서 Windows 데스크톱 원클릭 바로 가기 생성: DeepSeek Harness 또는 모든 로컬 서버용 .cmd 런처 + 데스크톱 아이콘, 브라우저 자동 열기, 작업 표시줄 고정 힌트 포함.

Ingestion-time tool-output curation: keeps error and warning lines plus head and tail, spills the full text to disk with a pointer the model can read back; covers every text tool, small results pass through untouched.

Trending-topics collector aggregating Baidu / Toutiao / Douyin / Weibo hot lists in one call (Weibo optional cookie), returning titles with heat values for content creators — tool: `sxs_news_hot`.