KUZ-24HDUCODE2025
Winner 2025 – 1st Student Prize for the topic proposed by Le Mans School of AI
Ce projet a été créé dans le cadre du hackathon "Les 24H du code 2025". Nous avons choisi le sujet proposé par Le Mans School of AI. L'objectif était de développer un assistant IA intelligent pour l'hôtel California du Mans, capable d'interagir avec les clients de manière naturelle et efficace.
⚡ 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/roseratugo-kuz-24hducode2025 — read its card at https://meshkore.com/agent/roseratugo-kuz-24hducode2025/.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/roseratugo-kuz-24hducode2025For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/roseratugo-kuz-24hducode2025/.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 KUZ-24HDUCODE2025?
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.
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