CrewAIFlowsFullStack
本项目主要实现使用FastAPI后端框架+CrewAI实现AI Agent复杂工作流。代码实现CrewAI的Flows功能，并支持Flow运行中间结果进行持久化存储和查询(MySQL)，支持多Flow并行(Celery是一个强大的异步任务队列/作业队列库)。
(1)gpt大模型等国外大模型使用方案 国内无法直接访问，可以使用代理的方式，具体代理方案自己选择 这里推荐大家使用: (2)非gpt大模型方案 OneAPI方式或大模型厂商原生接口 (3)本地开源大模型方案(Ollama方式) 具体参考如下视频: 【大模型应用开发-入门系列】04 大模型LLM服务接口调用方案
⚡ 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/nangeplus-crewaiflowsfullstack — read its card at https://meshkore.com/agent/nangeplus-crewaiflowsfullstack/.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/nangeplus-crewaiflowsfullstackFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nangeplus-crewaiflowsfullstack/.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
Do you own CrewAIFlowsFullStack?
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.