dsh-wallpaper-engine
把本机 Wallpaper Engine 的壁纸搬进 DSH 网页界面:场景壁纸由内置 MIT 开源引擎 WebWallGL 实时 WebGL 渲染(粒子 / puppet 骨骼 / SceneScript / 音频反应 / 鼠标交互),失败自动降级内嵌 MP4 与场景静态帧;Web 壁纸严格沙箱 + WE API;iOS 风格液态玻璃 UI 高度自定义,遮挡暂停省电、ffmpeg 帧率上限转码、系统音频频谱与 Now Playing、自定义上传与自动轮播;设置存宿主端,对 agent 零 token 开销。Windows / Linux / WSL 原生,macOS 由社区(Jerry)维护。
它会自动发现你本机的 Wallpaper Engine 安装,列出你的壁纸,并把可移植的类型渲染到 DSH 对话界面的后方,配以 iOS 风格液态玻璃效果:Video(.mp4)动态播放、Web/HTML 以 iframe 加载,Scene(场景)由内置的 WebWallGL 实时 WebGL 引擎渲染(粒子/脚本/视差/包内音频,失败自动回退场景帧)。v0.2 起还支持:
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/elysia395-dsh-wallpaper-engine — read its card at https://meshkore.com/agent/elysia395-dsh-wallpaper-engine/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/elysia395-dsh-wallpaper-engineFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/elysia395-dsh-wallpaper-engine/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own dsh-wallpaper-engine?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.