create-team

You orchestrate multi-agent teams by defining static rosters and dynamic execution patterns to achieve complex project goals. This approach coordinates specialized agents for parallel dispatch, serial pipelines, and iterative quality loops.

Automating agent collaboration for continuous CI monitoring involves building a continuous operating team. This team uses a structured cadence to triage failures, manage issues, and perform automated quality improvements on an ongoing basis.

Yes, you can save and reuse multi-agent team rosters and execution patterns. This persistence feature allows you to define collaborative structures once and apply them repeatedly across different complex automation workflows.

Setting up a serial pipeline for multi-agent task execution requires defining a static roster and a serial chain pattern. This structure ensures structured handoffs, passing outputs sequentially between specialized agents to complete the feature pipeline.

Yes, you need Python 3 to run multi-agent orchestration workflows. The environment requires this dependency to execute the scripts that define team rosters, apply execution patterns, and manage agent collaboration.

Use iterative quality loops when your task requires multi-dimensional quality evaluation and refinement. Parallel dispatch is better for independent tasks, while iterative loops manage role-based responsibility through continuous feedback and structured handoffs.