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Freestyle

Sandboxes for coding agents — Linux VMs, Git, and deploys in one box

freemiumupdated Jun 24, 2026

Freestyle is YC-backed sandbox infrastructure built for AI coding agents, shipping secure Linux VMs with nested virtualization, Git servers, and one-click web deploys. It lets agents run real workloads, branch repos, and deploy apps under short-lived identities while billing only for active compute. Used in production by vly.ai, Rork, and Vibeflow.

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A detailed review by the aicoolies team — click to read

Freestyle is a YC-backed infrastructure platform built for AI coding agents that need to execute, test, and deploy code they did not write themselves. Unlike generic cloud compute, Freestyle ships short-lived Linux VMs with nested virtualization, integrated Git servers, instant web deploys, and idle-pause billing so agent sessions feel disposable instead of expensive. The product is trusted by vly.ai, Rork, and Vibeflow in production, where users hand natural-language prompts to an agent that branches a repo, boots a VM, runs code, and serves a preview URL without anyone touching AWS or Kubernetes.

The technical profile is unusually serious for a young product. Each sandbox is a full Linux VM rather than a shared container, so agents can install arbitrary system packages, run nested Docker, and trigger browser automation without fighting the host. Git runs as a first-class service so agents fork, commit, and push under ephemeral identities, and the deploy layer exposes a public URL within seconds. Billing is tied to active CPU time rather than wall-clock leases, which matches how agents actually behave and removes pressure to kill sessions aggressively. SDKs ship for TypeScript and Python and the primitives are plain REST endpoints.

Freestyle is best understood as the plumbing underneath vibe-coding products rather than a tool a human operator uses directly. Founders building bolt.new-style or v0-style apps plug Freestyle into the request path where user prompts translate into real code execution, and they stop worrying about escape, noisy neighbors, and cold starts. The product still has rough edges — documentation is lean compared to E2B and the community is small — but pricing is now more explicit: Free, Hobby, and Pro tiers publish VM/repository limits and usage-overage rules, while Enterprise adds custom limits, SAML/SCIM, audit logs, support, and SLA coverage. For any team shipping an AI coding product that needs Git, VMs, deploys, and execution under one roof, Freestyle is one of the few 2026 options treating all four as a single trust boundary.

Pricing

Free plan; Hobby $50/month plus usage over $50; Pro $500/month plus usage over $500; Enterprise custom with SAML/SCIM, audit logs, support, and 99.99% SLA.

Platforms

Cloud-hosted sandbox platform accessed via REST API and TypeScript/Python SDKs. No local install required.

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Comparisons

Freestyle vs E2B — Agent-Native VM Stack or Mature Code Execution

Freestyle and E2B both promise secure sandboxes for AI coding agents, but they make different bets about what that sandbox should contain. E2B is the mature, container-based runtime trusted across the agent ecosystem — LangChain, LlamaIndex, OpenAI cookbooks — while Freestyle is the newer, heavier stack that bundles Linux VMs, Git, deploys, and execution as one trust boundary.

FreestyleE2B