bmad-party-mode

To host a multi-agent collaborative chat, start party mode and prompt the agents with your topic. The system orchestrates a group discussion by selecting relevant agents, merging their personalities, and managing cross-talk for multi-perspective analysis.

Multi-agent conversation orchestration coordinates dialogue across multiple installed agents to provide diverse perspectives. You need it for collaborative brainstorming, moderated group debates, or multi-perspective analysis without manually running each individual agent.

During multi-perspective analysis, the system analyzes your topic to intelligently select 2-3 relevant agents from the loaded roster. It merges their roles and communication styles to manage conversation flow and enable natural cross-talk.

Yes, you need an agent manifest and project configuration. The orchestrator parses the manifest to load agent personalities, roles, and communication styles to build a complete roster for selection and conversation state management.

To gracefully exit a collaborative chat session, use the presented continue or exit controls. The system tracks workflow state, triggers character-consistent farewells, and performs cleanup automatically when you choose to exit.