Agent Orchestration
Agent Orchestration
A system that coordinates multiple AI agents to automatically carry out complex tasks efficiently.
In Simple Terms
Agent Orchestration is a technique that combines multiple AI agents, each with a different area of expertise, to divide up and carry out one complex task together. For example, it's used in systems that write a blog post by running an AI that builds the overall structure, then an AI that writes the text, then an AI that checks for typos, one after another, to produce a single finished article. A control system manages the role of each AI, automatically moving the work forward while controlling the overall flow and the handoff of data between them.
Behind the Name
The name blends two ideas: an "agent"—a proxy that acts on someone's behalf—and "orchestration", the word used for how a conductor coordinates a symphony orchestra. Just as a conductor brings different instruments together into one coherent performance, the term describes multiple autonomous AI agents being coordinated in the same way to complete a single larger task.
Take a Closer Look!
Agent Orchestration is a system that organizes the movements of multiple AI agents, each with a specific role, and controls the "overall flow" — which AI acts when and in what order — to guide a complex task to completion.
Rather than handing an entire job to a single AI, it sets up a structure where multiple AIs with different roles work together, with task assignment and progress being managed.
For example, imagine planning a trip.
The system might have a "hotel-search AI" look into accommodations, then use those results to have a "travel-route AI" calculate transportation, managing that whole sequence step by step.
This kind of control isn't limited to strictly programmed, fixed procedures — there are various patterns, such as having an overall coordinator AI dynamically decide which AI to call on next depending on the situation, or controlling the flow of a group chat where multiple AIs take part in the conversation.
Either way, the defining feature is that individual AIs don't make decisions independently without any coordination rules — instead, the overall execution process and the handoff of roles are properly managed according to a defined structure.
In programming, this term refers to the coordination rules used to run these AIs efficiently, as well as the development frameworks that control the whole process.
This kind of setup is sometimes used, for example, in automating complex business operations or building smarter AI assistants.