swarm

Multi-agent workflows coordinate parallel and sequential tasks by launching multiple agents simultaneously to accelerate work, managing task dependencies, and aggregating the combined outputs into a coherent synthesis for decision making.

Multi-agent orchestration for architecture reviews delegates specialized perspectives like Researcher, Architect, Creative, and Skeptic to evaluate complex decisions, aggregating their diverse viewpoints into a synthesized result for comprehensive analysis.

Task dependencies in parallel multi-agent workflows are managed by sequencing tasks when required, coordinating the execution order across agents, and aggregating results to ensure proper workflow synthesis and dynamic planning.

Parallel agents support exploratory investigations by applying specialized perspectives to cover multiple viewpoints, managing dependencies between investigation steps, and aggregating findings into a synthesized result for complex decision making.

Multi-agent workflow orchestration supports sophisticated workflows by applying complex orchestration patterns and dynamic planning, allowing agents to adapt tasks while managing dependencies and aggregating results for final synthesis.

The best way to aggregate results from parallel processing agents is through workflow synthesis, which combines the outputs of specialized perspective agents into a coherent synthesis for comprehensive decision making and complex task resolution.