architecture-canvas
Chat with your documents to create and refine editable architecture diagrams. Local workspace, Excalidraw canvas, optional Tavily search.
运行 python3 demo.py --output demo-session.json，在页面“上下文 → 导入会话备份”选择生成的文件。拖动模块、改字，再导出 SVG 或 PNG。示例是手工编写的知识助手结构，不会调用模型或搜索；要用对话修改，再填写模型设置。
⚡ 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/weike-zhang-architecture-canvas — read its card at https://meshkore.com/agent/weike-zhang-architecture-canvas/.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/weike-zhang-architecture-canvasFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/weike-zhang-architecture-canvas/.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 '{ ... }' Do you own architecture-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.