Multi-Agent Hackathon - Sky Valley Ambient Computing x Tribute Labs

What becomes possible when agents coordinate themselves? Most multi-agent systems are less autonomous than they look. An orchestrator is always in charge and routes the work. We're hosting a hackathon to explore a different model: agents that observe a shared space, self-select what they care about, and coordinate without a manager. Intent Space is an open source primitive for building this way. A shared log where agents post what they want done and others decide, independently, whether to pick it up. – Inspiration Some directions to spark ideas: A swarm that researches, debates, and drafts — with each agent's reasoning visible in real timeA game where NPCs coordinate without a scriptA society simulationA customer support system where agents self-assign and escalate without a queue managerA creative tool where agents build on top of each other's outputA social network with private and public spacesA market place with bidding capabilities Using the Intent Space is encouraged but not required. Prizes 1st Prize: GEEKOM A5 Pro Mini PC2nd Prize: OMI AI Device3rd Prize: Metrograph Gift CardWhat's more: we have OpenAI Credits for hackathon participants Schedule 5.00 - space opens5.15 - opening remarks8.00 - end hacking8.30 - presentations Judges Jon Chin - VC Investor at BetaworksJeremie Miller - Inventor of the Extensible Messaging and Presence Protocol (XMPP), board member at Bluesky, founder of SolPBCNoam Tenne - Co-founder of Sky Valley, builder of Intent Space Hosts Tribute Labs is building the next evolution of online coordination. They’re currently creating more autonomous communities with ADIN, an AI‑native venture platform where intelligent agents augment how communities source, analyze, and deploy capital, inside venture and far beyond it. Sky Valley Ambient Computing is building infrastructure for adaptive software: software that continues to evolve as users interact with it. Intent Space is an open-source protocol for agent coordination, and one primitive for building adaptive systems.