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Freestyle

freestyle.sh

Full Linux VMs for AI agents that start in milliseconds and run for weeks.

Overview

Freestyle provides full Linux virtual machines purpose-built for AI agents and long-running tasks. VMs start in milliseconds (65ms typical), support persistent workloads running for hours, days, or weeks, and can be paused and resumed with state intact. The platform includes powerful features like live cloning, nested virtualization, FUSE, eBPF support, and network controls with WireGuard tunnels for secure private cloud connectivity.

Designed for complex coding tasks, experimental exploration, and multi-tenant agent platforms, Freestyle VMs scale from hobby projects to enterprise deployments. The service offers transparent usage-based pricing alongside tiered plans, with a free tier for getting started and paid options for growing workloads.

Key features

  • Instant startup (65ms)
  • Persistent VMs running for weeks
  • Live cloning with memory included
  • Pause and resume with state intact
  • Nested virtualization support
  • Full Linux kernel with FUSE and eBPF
  • Network controls and firewall rules
  • WireGuard tunnel connectivity
  • Custom domains and managed HTTPS
  • Usage-based pricing
Pros
  • Millisecond startup times
  • Full Linux capabilities including nested virtualization
  • Cheap snapshots for branching and recovery
  • Persistent state across pause/resume cycles
  • Flexible network controls with default-deny security
  • Transparent, predictable pricing
  • Free tier available for experimentation
Cons
  • Free tier limited to 10 concurrent VMs and 10 saved VMs
  • Free tier has hard stops on allowances rather than paid overage
  • Requires API key setup for programmatic access
  • Learning curve for advanced networking features
Use this if
You need persistent Linux VMs for AI agents, long-running tasks, or complex workloads that require full kernel capabilities and flexible networking.
Skip this if
You need simple, short-lived containers or serverless functions; you require Windows VMs; or you need a managed Kubernetes platform.

Best for

AI agents with long-running tasksComplex coding problems and researchExperimental exploration with branching and cloningMulti-tenant agent platformsBrowser automation and testingDocker and container workloads

Alternatives

AWS EC2Google Cloud Compute EngineDigitalOcean DropletsLinodeHetzner Cloud

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