Multi Agent Coordination Works

Agent swarms with emergent coordination are showing capabilities beyond what single agents can achieve. Single agents trying to handle complex tasks get overwhelmed quickly. Swarms distribute the cognitive load.

Consider an agent managing DeFi positions. It has to monitor prices, assess risk, execute trades, and manage collateral all at once. The complexity becomes overwhelming and responses get slow and unreliable.

The alternative is specialized agents each focused on one narrow task. No central coordinator. They negotiate with each other using an internal token economy where they pay for services. The system self organizes based on market dynamics.

Swarms consistently outperform single agent strategies. Not because individual agents are particularly smart but because coordination creates emergent intelligence. They discover opportunities that no single agent would find. The whole really does become greater than the sum of its parts.

Communication overhead is the main challenge. Agents can end up spending more time talking than acting. Compressed semantic channels where agents develop their own efficient language help. Tokens that would be complete gibberish to humans but perfectly efficient for agents.