multi_agent_collaboration

Multi-agent collaboration allows specialized AI agents to coordinate, share context, and handle complex workflows together. It enables seamless distribution of tasks like data gathering, analysis, and report generation among distinct agents for efficient execution.

You can coordinate multiple AI agents by querying the available agent list and sending targeted chat commands to them. This structured messaging manages agent sessions and facilitates context sharing across multi-step workflows.

Yes, context sharing is fully supported. You can share workspace content and context among various agents to maintain continuity, ensuring professional expertise is integrated and task continuity is preserved throughout the workflow.

The best way to automate a multi-step process is by using coordinated interaction. You can configure one agent to gather data, another to analyze it, and a third to generate a report, managing the workflow through structured messaging.

Yes, managing sessions is required to facilitate agent collaboration. Session management allows you to query the agent list, maintain communication, and support custom coordination for complex task execution across multiple steps.