Swarm Systems
What happens when multiple AI agents try to work together. Coordination protocols, collective behaviour, and the overhead nobody warns you about.
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Detailed guides and practical technical analysis.
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Multi-Agent Systems Explained: How AI Agents Coordinate, Compete, and Fail
Multiple AI agents coordinating can improve performance by 80% or degrade it by 70%. The difference is architecture, not capability.
Agents That Reshape, Audit, and Trade With Each Other
As agents gain autonomy over communication, inspection, and resource negotiation, three converging patterns are redefining multi-agent infrastructure: dynamic topology, embedded auditing, and adversarial trade.
When Agents Meet Reality: The Friction Nobody Planned For
Lab benchmarks show multi-agent systems coordinating well. Deploy them in messy reality and three kinds of friction emerge that no architecture diagram accounted for.