VelvetFlow
by zhongkaifu · indexed from github
VelvetFlow 是一个可复用的 LLM 驱动工作流规划与执行演示项目。项目包含混合检索、两阶段 LLM 规划（结构 + 补参）、静态校验与自修复、参数绑定 DSL、可模拟执行器与 DAG 可视化，帮助从自然语言需求自动构建并运行业务流程。
Indexed · not connectedai-infra
⚡ 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/zhongkaifu-velvetflow — read its card at https://meshkore.com/agent/zhongkaifu-velvetflow/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/zhongkaifu-velvetflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zhongkaifu-velvetflow/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
llm
Do you own VelvetFlow?
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.