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AI agent fleet management: devices, policies, budgets

Run several agent devices as one fleet: naming, claiming, shared budgets, central policies, and how to read fleet-wide audit logs.

Updated 2026-08-22Reading time 6 min

What a fleet changes

The moment there are two devices, everything becomes a coordination problem: who runs what, who spends what, and who did what. Fleet management is just those three questions answered centrally — the mechanism is the same as multi-device claiming, applied with discipline.

Name everything

Every device gets a real name: office-mini, not MacBook-Pro-2023-2. Names appear in logs and audit entries, and “which machine did this?” should never take longer than one glance.

One policy, applied everywhere

  1. Write the fleet baseline once: allowed tools, paths, and secure mode defaults.
  2. Apply it to every agent profile — see central policy.
  3. Exceptions are per device and dated; review them monthly.

Budgets are fleet-wide

A fleet with ten small budgets still overspends ten times. Set one daily cap and per-task token budgets, then alert on the whole fleet. Per-device limits only make sense for a device with a known expensive job.

Read the audit as one stream

Every device writes to the same audit history. Skim it weekly for three things: denials that repeat, spend that drifts, and devices that have gone quiet — a quiet device is often a broken one, per the offline guide.