What is a multi-agent system?

A multi-agent system is a set of AI agents that collaborate, each with a role, to solve tasks that a single agent would not handle well.

Why several agents

A real process usually chains together very different steps: searching for information, drafting, validating, executing an action. Assigning each step to a specialized AI agent improves quality, narrows the responsibility of each piece and makes the whole easier to evaluate and maintain. It is the difference between a single agent trying to do everything and a team of agents with clear roles.

The role of coordination

Several agents do not coordinate themselves. An AI orchestrator directs the flow —which agent acts, in what order and how the results are combined— and keeps human oversight in place. That coordination is what turns loose agents into a system that executes complete processes.

How we approach it at Codara

We design each Agentic OS on Codara's own platform as an orchestrated multi-agent system connected to your systems, so it executes processes end to end in production, always under human control.