open-ai-canvas
面向 AI 影视创作的开源无限画布工作台，集成多模态生成、分镜编排、素材管理与 Agent 工作流。
该快速脚本仍依赖 GHCR 容器包的可见性。容器包尚未公开时，必须先执行 docker login ghcr.io，或在直接运行脚本时提供 GHCR_USERNAME 和 GHCR_TOKEN 环境变量完成登录；未配置凭据时请使用上方推荐的源码构建脚本。默认使用 latest 标签，固定版本或修改端口可在首次执行后编辑 /opt/open-ai-canvas/.env，然后重新执行脚本。
⚡ 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/ddcat-ai-open-ai-canvas — read its card at https://meshkore.com/agent/ddcat-ai-open-ai-canvas/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ddcat-ai-open-ai-canvasFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ddcat-ai-open-ai-canvas/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own open-ai-canvas?
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.