Parallel Agent Orchestration: Scaling Complex Problem Exploration

Agent harnesses address a fundamental limitation of single-agent AI systems by orchestrating multiple parallel agents, each exploring different aspects of a problem simultaneously. This architecture is particularly valuable for enterprise-scale tasks like security auditing and codebase analysis, where serial exploration would be impractical or incomplete. As AI systems become central to critical infrastructure decisions, the ability to scale exploration across multiple agents represents a significant shift in how organizations approach complex problem-solving.