yu-ai-learn
2026 年编程导航 AI 编程实战新项目，基于 Taro + React + FastAPI + DeepSeek 的 AI 闯关学习小程序，支持一句话 / 文本主题 AI 出题、闯关答题与即时讲解、联网搜索增强、RAG 私有知识库出题、AI 生图配图、微信登录与通关复盘报告。覆盖 LangChain / LangGraph、Chroma 向量库、MySQL、JWT、腾讯云 COS、Tavily 联网搜索、阿里云百炼、微信小程序与云托管。用一套教程掌握 AI 编程全流程，从需求调研到部署上线，不到一周学完，给你的简历增加竞争力
backend/Dockerfile 提供了适配微信云托管的多阶段构建镜像；也可以直接用于任意支持 Docker 的容器平台。 部署所需的密钥类环境变量（数据库密码、各类 API Key、微信 AppSecret 等）请通过平台的环境变量功能注入， 不要提交到代码仓库（参考 .gitignore / backend/.dockerignore）。
⚡ 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/liyupi-yu-ai-learn — read its card at https://meshkore.com/agent/liyupi-yu-ai-learn/.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/liyupi-yu-ai-learnFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/liyupi-yu-ai-learn/.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 yu-ai-learn?
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.