The WebSocket Architecture That Makes Multi-Agent AI Actually Work

The WebSocket Architecture That Makes Multi-Agent AI Actually Work Most multi-agent frameworks coordinate through files, function calls, or HTTP requests. Bridge ACE uses a dedicated WebSocket server as the primary communication bus between AI agents. Here is why — and how. Why Not Files? Claude Code coordinates its Agent Teams through JSON files in ~/.claude/teams/ . Agent A writes a message to a JSON file. Agent B polls the directory for new files. This works for simple coordination but has problems: Latency : Polling intervals add 1-5 seconds of delay per message Scalability : 10 agents polling a directory = filesystem pressure Ordering : No guaranteed message ordering across agents Discovery : Agents discover each other through file naming conventions Why Not HTTP? You could run a REST API and have agents POST messages. But: Still requires polling : Agents must repeatedly check for new messages Connection overhead : Each request opens a new TCP connection No push : The server canno