Run agents in programmable Linux virtual machines with live forks and pause controls
Freestyle supplies virtual-machine infrastructure for AI agents and related development workloads. Its emphasis is on real Linux environments with familiar system capabilities rather than a minimal command runner. Developers can create machines programmatically, execute commands and manage their lifecycle through an API or SDK. Live forking and pause controls are intended to support workflows where an agent explores several approaches or needs to resume an environment later. The product is infrastructure, not a particular language model: a team chooses the agent and model behavior that runs inside the machines. This separation is useful when an application needs control over its execution environment.
A developer can define a machine, install the required tools and connect the workload that will use it. Forking provides a way to branch from an existing state for an experiment, while pause and resume controls can help manage inactive work. Standard Linux tooling and container-related capabilities broaden the tasks that can be attempted, but they also increase the importance of permissions and network boundaries. The team should inspect execution results and ensure that an agent cannot access unrelated credentials or systems. Resource cleanup needs to be part of the application rather than an occasional manual afterthought.
Freestyle publishes free and paid tiers with different allowances for compute, storage, concurrency and saved states. A paused machine may stop consuming active compute without eliminating every storage-related cost. Confirm persistence behavior and limits for the selected plan before designing a long-running service. Isolation infrastructure does not make arbitrary generated commands trustworthy; application owners still need authorization checks, appropriate secrets management, usage controls and monitoring for the workloads they execute.
