azure-ai-apps
Azure AI Apps - RAG, Agents, and Chat applications using Azure AI Foundry, Azure Kubernetes Service and other Azure AI related services.
A collection of Python demo applications for engineers learning how to build Retrieval-Augmented Generation (RAG) pipelines, AI agent orchestration, and chatbot UIs on Azure AI services. One key focus is to show how to leverage AI hosting capabilities on Azure Kubernetes such as KAITO inference AI models and hosting the applications in AKS.
⚡ 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/roykimyyz-azure-ai-apps — read its card at https://meshkore.com/agent/roykimyyz-azure-ai-apps/.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/roykimyyz-azure-ai-appsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/roykimyyz-azure-ai-apps/.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 azure-ai-apps?
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.