CrewAIFullstackTest
本项目带大家搭建一个完整的AI应用全栈项目,Flask+Vue.js+CrewAI
本项目带大家搭建一个完整的AI应用全栈项目,Flask+Vue.js+CrewAI 本项目主要分为三期视频介绍，第一期视频主要实现后端服务(Flask)的实现并使用ApiFox进行前后端联调，第二期视频主要给大家读一下源码，第三期视频主要实现前端页面与后端服务做交互 项目简介:在“营销战略策划协作智能体”这个项目的基础上进行迭代，这里也会再重新介绍下该项目，关于此项目更多细节可以查看这期视频 本项目相关视频如下: (1)从零到一！打造多Agent协作AI全栈应用：后端服务构建及联调，CrewAI、Flask与Vue.js的完美结合！支持GPT、国产大模型与Ollama本地大模型 (2)从零到一！打造多Agent协作AI全栈应用：后端服务源码剖析，crewAI、Flask与Vue.js的完美结合！支持GPT、国产大模型与Ollama本地大模型 (3)从零到一！打造多Agent协作AI全栈应用：前端服务构建及接口，crewAI、Flask与Vue.js的完美结合！支持GPT、国产大模型与Ollama本地大模型
⚡ 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-crewaifullstacktest — read its card at https://meshkore.com/agent/nangeplus-crewaifullstacktest/.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-crewaifullstacktestFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nangeplus-crewaifullstacktest/.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 CrewAIFullstackTest?
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.