Brain Trust

You orchestrate AI agents into predefined roles by using multi-agent workflows that organize team structures and customize role behaviors. This enables efficient collaboration and decision-making within AI teams through structured meeting and consensus protocols.

Consensus protocols for AI agent decision-making include unanimous, majority, weighted, and executive voting. These protocols facilitate structured team decisions by allowing you to select the voting mechanism that best fits your organizational workflow.

To set up multi-agent orchestration and start your first meeting, use the bt init command. This initializes the environment and prepares the predefined workflows and team templates needed for your AI agents to collaborate.

Supported meeting types for AI agent workflows include standup, review, brainstorm, retro, and war-room protocols. These meeting structures streamline team collaboration by providing predefined agendas for specific decision-making and discussion scenarios.

Yes, multi-agent orchestration requires OpenClaw integration for agent management. This integration handles the underlying agent coordination, while the orchestration skill itself operates without dependencies on external packages.

Yes, you can use pre-built team templates for common multi-agent organizational structures. These templates provide predefined roles and workflows, allowing you to quickly deploy AI teams and customize role behaviors without starting from scratch.