collaborate

Multi-agent research workflows are automated by assigning specific research functions, like hypothesis generation or ablation analysis, to individual agents. This enables parallel hypothesis testing and efficient result synthesis within automated scientific workflows.

AI agent orchestration is managed through configurable execution modes that support both parallel and sequential task distribution. This allows flexible coordination of specialized agents for diverse research strategies and relationship mappings.

Role-based task distribution is set up by creating a collab.yaml file in your quest directory. This file specifies your research goals, defines specialized roles, and establishes relationship mappings to initiate multi-agent collaboration.

Yes, multi-agent orchestration ensures compatibility with configurable relationship mappings. This supports complex research scenarios requiring parallel ablation studies, automated exploration, and result synthesis within AI research environments.

No specific external dependencies are required to run automated scientific workflows. The orchestration relies on creating a configuration file to define goals and roles, facilitating multi-agent research collaborations without additional environment setup.