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Agent Fleet

A collection of AI agents provisioned, run, and managed together under shared infrastructure.

What Is an Agent Fleet

An agent fleet is a collection of AI agents that are provisioned, run, and managed together under a shared infrastructure, typically across multiple users, projects, or tasks. The term borrows from how organizations describe fleets of vehicles or servers: a set of similar units, individually addressable, that are operated collectively rather than one at a time by hand.

Characteristics of an Agent Fleet

  • Many independent instances: each agent in the fleet typically has its own execution environment, task queue, and state, separate from the others.
  • Shared infrastructure: agents are provisioned from common templates or images and run on shared compute, storage, and networking managed centrally.
  • Centralized management: operators can view, start, stop, or inspect any agent in the fleet from a single control plane, rather than managing each one separately.
  • Isolation: because a fleet often serves multiple users or teams, individual agents are usually sandboxed from one another, for example by running each in its own container with restricted network access.

Why Fleets Are Useful

As the number of AI agents an organization runs grows from one or two to dozens or hundreds, treating them as a fleet rather than as individually managed processes becomes necessary. Fleet management provides consistent provisioning, so every new agent starts from a known, secure baseline, and consistent operations, so idle agents can be automatically paused to save resources and quickly resumed when new work arrives. It also gives administrators a single place to apply access control, review activity, and enforce limits such as network egress rules across every agent, regardless of who created it or what task it is running.

Agent Fleet vs Multi-Agent System

The agents in a fleet do not necessarily work together on the same goal. A fleet is an operational grouping: many agents, each potentially doing unrelated work for different users, managed under one infrastructure. A multi-agent system, by contrast, refers to agents deliberately coordinating on a shared task. In practice, a single fleet can contain both isolated agents working independently and clusters of agents that form a multi-agent system for a particular workflow. Agenhood is an example of infrastructure built specifically to operate an agent fleet, provisioning each agent into its own hardened, persistent container within a multi-tenant workspace.

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