Agent management 2026 Rank: #1728

Fly.io ✓

Real computers for AI agents.

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Verdict

A quick read before you dig into the full page.

Best if
Real computers for AI agents
Skip if
Hardware isolation could limit flexibility
Pick this when
Hardware-isolated Linux computers

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Overview

Generated by ChatGPT

Fly.io is an AI tool designed to facilitate the creation, management, and scaling of digital agents. The core components of the platform are 'Sprites', which are equivalent to real hardware-isolated Linux computers that provide a persistent and secure environment for running agents and applications.

Each Sprite can automatically checkpoint its state while working, resulting in a highly reliable system that always resumes from where it last stopped.

With Fly.io, agents can be assigned their own Sprite that sleeps until needed and wakes up remembering everything. The platform also ensures security and privacy by isolating each machine process and restricting shared state access between users.

Applications built by an agent are delivered through an HTTPS URL, eliminating the need for migration. The service utilises an Object-storage back system that can scale infinitely and allows users to rollback to a previous checkpoint without hassle.

In addition, Fly.io streamlines management tasks for administrators, as the agent handles set up, enabling them to focus on high value tasks. Disk storage scales as per requirement, freeing users from having to size disks upfront.

Another important feature is the Sprites Connector that connects a service once for the entire organization, negating the need to paste a token for each Sprite.

In terms of scalability, Fly.io simplifies the process of moving from a side project to full production without needing to restructure the existing infrastructure.

Overall, it is a tool that offers real computers to AI agents, ensuring greater reliability, efficiency, and scalability for AI projects.

Fly.io website

Access & connections

Where you can use Fly.io.

Platforms

Web

Pros & cons

Pros

  • Hardware-isolated Linux computers
  • Persistent computing environment
  • Automatic checkpoint state
  • Highly reliable system
  • Security and privacy ensured
  • Isolated machine processes
  • Restricts shared state access
  • HTTPS URL application delivery
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  • Infinite scaling Object-storage
  • Easy checkpoint rollback
  • Agent handles setup
  • Disk storage scales
  • Sprites Connector feature
  • Simplifies full production transition
  • Applications need not migrate
  • Sprite sleeps until needed
  • Remembers last state
  • User-friendly management tasks
  • Efficient infrastructure restructuring
  • Granular Routing Monitoring
  • Zero Downtime Deploys
  • Private Networking
  • Full disk capacity utilization
  • Autoscaling capabilities
  • High value task focus
  • User-controlled access settings
  • Stateful computation support
  • Service connection for organization
  • Token pasting not required
  • URL retains application
  • Egress policy per Sprite
  • Untrusted code in VM
  • Infinitely scalable object-storage
  • Option to rollback checkpoint
  • Disk size grows as needed
  • Sprite checkpoints itself
  • Organizational service connection
  • Retains initial API
  • Multiple regions available
  • Short boot and deploy time
  • High uptime SLA
  • Granular access permissions
  • Automatic key rotation
  • Support team with coding experience

Cons

  • Hardware isolation could limit flexibility
  • Potential for resource underutilization
  • Need to handle state management
  • Applications anchored to HTTPS URL
  • Requires adaptation to Sprites concept
  • Autoscaling measures not detailed
  • Limited user control over Sprites
  • Agent handles setup, less control
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  • Disk scaling tied to usage
  • Performance depends on agent efficiency

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Releases 1

Initial release August 12, 2026 Current
Initial release of Fly.io.

FAQ 12

What is the main purpose of Fly.io?
Fly.io's main purpose is to facilitate the creation, management, and scaling of AI digital agents through secure and persistent Linux computers, known as Sprites.
How does Fly.io use 'Sprites'?
Sprites in Fly.io are equivalent to real hardware isolated Linux computers allocated for AI agents. They provide a secure and persistent environment for running applications and can sleep when not in use, waking up with a complete memory of previous state. Each Sprite can checkpoint its state while working, providing a reliable system that always resumes from last stop.
How does state checkpointing work in Fly.io?
In Fly.io, each Sprite automatically checkpoints its state while working. Checkpointing is a process where the current state is saved, allowing the system to resume from that point in case of failure. This results in a highly reliable system that is always capable of resuming from where it last stopped.
What security measures does Fly.io have?
Fly.io has multiple levels of security. Each machine process is isolated, restricting shared state access between users, and an isolated VM is used for untrusted code to ensure no two users ever share state. Sprites also have egress policies, and they never hold credential tokens. Additionally, there is granular permission control and automatic key rotation.
How does Fly.io deliver applications built by agents?
Applications built by an agent in Fly.io are delivered through an HTTPS URL, which eliminates the need to migrate anything. The application stays exactly where it was created and goes live immediately.
Can you describe the Object-storage back system that Fly.io uses?
Fly.io's Object-storage back system is the service's backup solution. It is infinitely scalable, and allows users to roll back to any checkpoint in seconds. The system leverages the Sprite Block Device which signifies Sprites can go to sleep without dying.
How does Fly.io handle scalability in terms of infrastructure?
Fly.io approaches scalability by allowing the infrastructure to scale from a side project to full production without needing to restructure the existing setup. This ensures that the same primitives are kept at every scale, and there is no need for platform migration when the volume increases.
How does Fly.io manage administrative tasks?
Administrative tasks in Fly.io are streamlined by assigning setup tasks to the agent, freeing administrators to focus on high value tasks. Disk storage scales as per requirement, sparing the admin from having to size disks upfront.
How does the Sprites Connector work in Fly.io?
The Sprites Connector in Fly.io operates to connect a service once for the entire organization, making all Sprites able to reach it. This prevents the need to paste a token for each Sprite and simplifies service connection at the organizational level.
What happens with disk storage on Fly.io?
In Fly.io, disk storage scales according to requirement. It grows as you write to it, up to 100GB, and you're only billed for the space you actually use. There's no need for manual disk size management as the system automatically adapts.
How does Fly.io handle the process of moving from a side project to full production?
Fly.io simplifies the process of moving from a side project to full production by allowing for scaling without restructuring the existing infrastructure. The same API is kept at every scale, and no rearchitecting is needed when the project grows, neither platform migration when it gets big.
What benefits come with using real computers in Fly.io?
Real computers in Fly.io, manifested as Sprites, provide a secure, persistent, and reliable environment for running applications. Being real hardware-isolated Linux machines, they promote high performance and efficiency, while their ability to sleep when unused and their persistent memory significantly optimize resource utilization.
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