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Multi-agent deliberation improves architecture design by coordinating diverse worker agents—such as researchers, architects, and testers—to analyze proposals in parallel, synthesizing their specialized perspectives into an evidence-based recommendation that reduces risk.

For multi-agent decision-making, you can use majority vote, weighted vote, or Byzantine fault tolerance (BFT). A Queen Agent orchestrates the aggregation of these worker agent verdicts to finalize the recommendation.

To coordinate multiple agents, define a clear decision question, let a Queen Agent orchestrate the flow, have specialized worker agents analyze in parallel, aggregate their verdicts using a consensus method, and finalize the recommendation.

Yes, you can use multi-agent consensus for security audits and risk analysis. The system supports multiple viewpoints from specialized agents to improve risk assessment and synthesize evidence-based decisions for critical systems.

No, the Queen Agent does not vote. It strictly orchestrates the deliberation flow, coordinates the parallel worker agents, and manages the aggregation of their verdicts to reach the final decision.

Past decision memory stores previous outcomes and deliberations, enabling learning and auditing for critical system choices. It retains the structured history of agent consensus to inform future risk analysis and architecture decisions.