MIGT2025-BME-Competition_JAVA
2025 Student Competition organized by the Department of Artificial Intelligence and System Engineering. I secured 3rd Place out of 18 participants in this competitive algorithmic challenge.
This document contains the solution developed for the 2025 Student Competition organized by the Department of Artificial Intelligence and System Engineering. The competition's objective was to develop an efficient, cooperative agent system for simulating a modern Urban Search and Rescue (USAR) scenario.
⚡ 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/hajdu-patrik-migt2025-bme-competitionjava — read its card at https://meshkore.com/agent/hajdu-patrik-migt2025-bme-competitionjava/.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/hajdu-patrik-migt2025-bme-competitionjavaFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hajdu-patrik-migt2025-bme-competitionjava/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own MIGT2025-BME-Competition_JAVA?
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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