bmad-party-mode

You orchestrate multiple AI agents by spawning independent BMAD subagents with distinct voices, applying structured prompts and contextual background to facilitate a multi-voiced roundtable discussion for collaborative ideation.

Multi-agent orchestration is the coordination of independent subagents to ensure diverse, non-homogeneous responses. It enables richer collaboration and debate by applying structured agent prompts with per-agent personalities to generate varied viewpoints.

Yes, you can simulate multiple agent personas in solo mode. The orchestrator simulates all agents with distinct personalities, allowing a single agent to generate the multi-voiced roundtable discussion without spawning separate subagents.

You need multi-agent orchestration for project brainstorming, design reviews, and critical evaluation. It applies to scenarios requiring diverse perspectives, problem-solving debates, and collaborative ideation across projects to ensure non-homogeneous responses.

The best way to load contextual background for orchestrated AI agents is through manifest loading. This process satisfies requirements for agent orchestration by providing structured agent prompts and contextual data to independent subagents.

Yes, multi-agent orchestration works for critical evaluation and design reviews. It coordinates independent BMAD agents to hold a multi-voiced roundtable discussion, enabling problem-solving debates from multiple viewpoints.