dsh-ui-wallpaper
Wallpaper plugin for the DeepSeek Harness web GUI: translucent app surfaces over a user-picked local image, GIF, or video background, plus one-click Wallpaper Engine imports
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Wallpaper plugin for the DeepSeek Harness web GUI: translucent app surfaces over a user-picked local image, GIF, or video background, plus one-click Wallpaper Engine imports
Feishu and Lark text, image, and file channel bridge for DeepSeek Harness
Local-first file conversion for DeepSeek Harness - images, PDF, data, audio/video and office documents. No API keys, no uploads, no token cost.
DeepSeek Harness multi-model routing plugin: route tasks to custom specialist agents (vision / image generation / translation / speech / subagent) with per-agent providers & models, multimodal account sign-in, OAuth account pools, and realtime usage stats
External vision proxy plugin for DeepSeek Harness, enabling text-only models (DeepSeek-V3 / R1) to analyze and understand images via OpenAI-compatible vision APIs.
FileLens — right-column file explorer for DeepSeek Harness: lazy directory tree, multi-format preview (Markdown/JSON/CSV/diff/log/hex/image), search & grep, tabs, inline editing with containment + version-guarded writes.
Out-of-tree Web plugin: load folder-based theme packs (tokens, CSS, fonts, images) and switch them through ThemeRuntime
Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.
Let the model render an image into the DSH web chat flow (QQ/WeChat style) via a show_image tool: the message content keeps only the path text, the image never enters model context, and the browser shows the picture inline, scrollable with history.
AI 生图 (image generation) plugin for the dsh web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint, with multi-provider support, model discovery, and agent tool registration. 与 @xiaoyuink/dsh-image-vision 同系列的图像插件。
Read GeoServer WMS services and render map images in the dsh web GUI, with a configuration card in the settings page.
Labnana image generation for DeepSeek Harness: text-to-image / image-to-image / precise editing with credits estimation, subscription balance and web settings UI.
Declare per-model reasoning efforts, image input, and openai-completions dialect on hand-declared llm-pi-ai routes. Writes the official namespace; does not intercept llm/stream or replace the Models page.
GLM 视觉模型插件:注册 glm-vision 供应商路由(glm-4.6v 系列,image+text 输入声明)并提供 glm_vision 工具,让 DeepSeek 等文本主模型直接调用智谱视觉模型看图。
Skin plugin for the DeepSeek Harness web client: selectable image backgrounds (shipped + user wallpapers), translucent glass surfaces, live dim and blur controls. · dsh 皮肤插件:图片背景、毛玻璃面板、亮度与模糊调节。
Paste/drop non-image files or folders into the DSH chat composer: paste inserts native @path references, drop inserts absolute paths.
One-click DSH background switcher backed by local Wallpaper Engine images/videos (WE Web API first, Steam workshop/myprojects directory scan fallback)
dsh bundle plugin: grok2api image & video generation tools plus image recognition (generate_image / generate_video / recognize_image) for the DeepSeek Harness
Vision sidecar for text-only coding agents.
SSiD (思灵) quick screenshot capture: tray/hotkey → fullscreen box-select overlay → cropped image into the current conversation composer
Vision-augmented DeepSeek adapter plugin for DeepSeek Harness: a vision-capable model describes image input, then a text-only DeepSeek model reasons over the description
DSH plugin: display images inline in chat with lightbox zoom, download (save-as), and prev/next navigation
VSCode-style file explorer for the DeepSeek Harness web client: a body-mounted, draggable right sidebar with virtualized lazy file tree and text / Markdown / image preview. Does not depend on the native details slot, so it works on blank sessions.
Paper Design MCP bridge as a DeepSeek Harness bundle: paper_* tools, image screenshot support, design skills, OAuth auth, and Cursor-parity design guidance.