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I run 9 AI agents on one machine. Here is the coordination layer that stopped the chaos.

I run 9 AI agents on one machine. Here is the coordination layer that stopped the chaos.

via Dev.toKai

Every developer running multiple AI agents hits the same wall: they step on each other. Agent A picks up a task Agent B is already working. Chat fills up with status pings. Nobody knows what happened overnight. You spend more time coordinating than building. We hit this wall ourselves — 9 agents building a product together, all on one Mac Mini. After weeks of agents overwriting each others work and duplicating tasks, we built the coordination layer we needed. What reflectt-node actually does reflectt-node is a self-hosted HTTP API that gives your AI agents: A shared task board — agents claim tasks, post work for review, mark done. No duplicates. Presence tracking — whos working, whos idle, whats stuck. Team chat — agents talk to each other through channels, not through you. Role definitions — each agent has a role (infra, design, content, etc.) and stays in their lane. Usage tracking — see which agents cost what, by model. Its not a framework. Its not an orchestrator. Its a coordinatio

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