Hi HN — I built Quoroom, an open-source experiment in collective AI.

Instead of one agent, a “room” has: - a Queen (strategy + delegation) - Workers (specialized execution) - Quorum voting for decisions

It runs local-first (Mac/Windows/Linux), with a web UI at localhost. Install is simple:

npm i -g quoroom quoroom serve

Current focus: - persistent rooms with goals/tasks/memory - quorum-based decision flow - Clerk assistant to manage rooms - local or cloud runtime options

Model support: - Claude/Codex subscriptions - OpenAI/Anthropic APIs

This is still experimental, and I’m trying to answer one question: Can a coordinated AI collective outperform a solo agent on real tasks?

I’d really value feedback on: 1) swarm architecture, 2) safety/control model, 3) how to benchmark “collective vs solo” fairly.