Overview

- Run AI agents on real hardware-isolated Linux machines that keep working state intact across restarts, eliminating lost progress and reruns
- Deploy agent-built applications instantly through an HTTPS URL that goes live exactly where it was created, with zero migration steps
- Recover from any failure in seconds by rolling back to an automatic checkpoint stored on infinitely scalable object storage
- Cut infrastructure costs by letting idle agents sleep and wake with complete memory of their last checkpointed state, paying only for used disk space up to 100GB
- Protect user data with hardware-isolated VMs, isolated machine processes, restricted shared state access, and egress policies that keep credential tokens out of agents
- Scale from side project to full production on the same API and primitives, avoiding rearchitecting or platform migration as volume grows
- Free administrators from setup work by letting agents handle configuration while disk storage scales automatically without upfront sizing
- Connect organization-wide services once through the Sprites Connector, removing the need to paste tokens into every individual agent
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
- 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
- Disk scaling tied to usage
- Performance depends on agent efficiency
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❓ Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
In Fly.io, when a Sprite 'sleeps until needed', it means that when there's no task for the Sprite to handle, it goes to a dormant state to save resources. When the Sprite is reactivated, it wakes up remembering everything, resuming from its most recent checkpointed state.
HTTPS URL delivery in Fly.io simplifies application deployment, as it eliminates migration needs. The application is accessible and goes live exactly where it was created, via a secure HTTPS URL, helping maintain security and privacy.
Hardware isolation feature in Fly.io means that every operation takes place in a separate, hardware-isolated VM environment. Each Sprite runs in its own hardware-isolated space, ensuring no two users ever share state, enhancing security and user privacy.
Yes, Fly.io allows checkpoint rollbacks. Users can roll back to any checkpoint in seconds, thanks to the Object-storage back system. This feature increases system reliability and resilience.
Automatic checkpointing in Fly.io happens thanks to the Sprites. Each Sprite automatically checkpoints itself periodically, ensuring a recent checkpoint is always available. This guarantees that operations can always resume from where they last stopped.
To manage the scaling of computing resources, Fly.io leverages its Sprites, which are equivalent to real Linux machines. Each agent can be assigned its own Sprite, ultimately scaling resources as the demand rises or falls.
Privacy between users in Fly.io is ensured through hardware isolation. Each machine process is isolated, which restricts shared state access. Additionally, for untrusted code, it runs in a hardware-isolated VM, ensuring no two users ever share state.
The core components of Fly.io includes Sprites which are actual Linux machines providing a persistent and secure environment for running apps; Object-storage back system, an infinitely scalable backup solution for rolling back to any checkpoint; Sprites Connector, a tool connecting a service for the whole organization; and the HTTPs URL delivery system which helps to deliver applications built by agents.
Pricing
Pricing model
Free Trial
Paid options from
$29/month
Billing frequency
Monthly













