Multi-agent orchestration
The coordination of multiple specialized AI agents — each with its own role, tools and memory — to complete a workflow.
Multi-agent orchestration
Multi-agent orchestration — The coordination of multiple specialized AI agents — each with its own role, tools and memory — to complete a workflow.
Typical patterns include supervisor-worker (a supervisor decomposes and delegates) and peer-to-peer (specialists collaborate directly).
How xyner approaches multi-agent orchestration
xyner treats multi-agent orchestration as a first-class platform concern — the relevant capability is documented and tested, with clear integration points for enterprise architecture teams.
For a deeper technical reference, see the related capability page or the corresponding whitepaper linked below.
See also
Related: agent collaboration, agent hand-off, swarm.
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