AmongAIs
Among AIs is a (prototype of) PC Game we developed as part of the Smart Applications course @ University of Pisa.
Among AIs is a PC Game we developed as part of the Smart Applications course @ Department of Computer Science of University of Pisa, under the supervision of prof. Gervasi. It's inspired by the well-known "Among Us" game, and its main purpose it's to develop and let play AI agents (then it's been expanded to support also human players). Everything has been built following an agile development, with the entire class taking part (from brainstorming to development of each team's component).
⚡ 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/gabrielepisciotta-amongais — read its card at https://meshkore.com/agent/gabrielepisciotta-amongais/.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/gabrielepisciotta-amongaisFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gabrielepisciotta-amongais/.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 AmongAIs?
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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