Freestyle gives AI agents full Linux VMs with 65ms startup, live cloning, and usage-based pricing. See features, pricing, and alternatives for 2026.
Freestyle is a Linux VM platform built specifically for AI agents — full machines designed for complex tasks that run for hours, days, or weeks. Instead of sandboxed code execution, Freestyle gives each agent a real Linux VM that boots in 65 milliseconds, can be cloned live with its memory intact, paused and resumed with state preserved, and locked down with per-VM network rules. For AI agent developers and builders who need production-grade infrastructure for long-horizon workloads, that combination of instant startup and persistent state is the difference between a demo and a deployable agent.
Quick Summary
Overall Rating 4.2/5 Best For AI agent developers and builders who need real Linux VM infrastructure for long-running, complex agent tasks
Freestyle positions itself as infrastructure for AI agents that need long-running, full Linux VMs, emphasizing instant startup in 65 ms, live cloning with memory, pause/resume with state intact, and network controls with default deny and per-VM rules. The product supports nested virtualization for Docker and VMs, custom domains with managed HTTPS, and WireGuard tunnels to private clouds. Its pricing is usage-based, from $0 to $500/month, with monthly included allowances that reset. Freestyle's own blog explicitly compares itself to sandbox/runtime platforms like E2B, framing the distinction as "E2B is a sandbox abstraction with excellent execution ergonomics, Freestyle is a Linux VM abstraction with production focus." Y Combinator founders get $50,000 in credits via freestyle.sh/yc.
Professional reality: Freestyle is a developer infrastructure product for running Linux VMs, not a sandboxed code-execution toy, so teams that only need short-lived function calls may find a lighter abstraction like E2B or Modal a better fit.
Freestyle provisions a complete Linux VM in 65 milliseconds, so agents can spin up a real machine on demand instead of waiting on slow container or server boot cycles.
Agents start work immediately with no cold-start delay.
Clone a live VM with its memory state intact, letting you fork a running agent environment for parallel work, testing, or branching without rebuilding from scratch.
Duplicate a working agent state in one step and run it in parallel.
Pause a VM and resume it later with its state preserved, which supports long-running tasks that span hours, days, or weeks without losing progress.
Long-horizon agent tasks survive interruptions without losing state.
Set the rules for network access with a default-deny posture and per-VM rules, so each agent VM only reaches what you explicitly allow.
Tight, per-VM network control by default.
Expose what your agent builds at app.yourdomain.com with custom domains and managed HTTPS, turning a running VM into a reachable, shareable app.
Ship agent-built apps to a real URL with managed TLS.
Freestyle VMs support nested virtualization and a full Linux kernel with FUSE and eBPF, so you can run Docker, Compose, and even VMs inside the VM with your own toolchain installed.
Run your hardest workloads with the tools they require.
Freestyle uses usage-based pricing that ranges from $0 to $500/month, with monthly included allowances that reset. The platform supports up to 32 vCPUs and 64GB RAM per VM, and Y Combinator founders get $50,000 in credits through the freestyle.sh/yc program. Because pricing scales with actual vCPU, memory, storage, and data-transfer consumption, cost tracks workload rather than seat count — which suits agent workloads that burst and idle unpredictably.
| Plan | Price | What You Get |
|---|---|---|
| Free | $0 | Entry point for hobby projects and getting started with Freestyle VMs |
| Usage-based Best Value | Up to $500 /month | Scales with vCPU, memory, storage, and data transfer; up to 32 vCPUs and 64GB RAM per VM |
| YC Founders | $50,000 in credits | Y Combinator founders get $50,000 in credits via freestyle.sh/yc |
| Enterprise | Custom | Critical security, performance, and platform SLAs. Custom usage limits, SAML SSO & SCIM, Audit logs, 99.99% SLA, Dedicated support |
Visit the official Freestyle website to check the latest pricing and plans.
Give a coding agent a full Linux VM that stays alive for hours, days, or weeks. Freestyle's Claude Code guide shows how to onboard an agent onto freestyle.sh, build an integration on a branch, and let it work in a persistent workspace with a complete toolchain and full kernel support for FUSE, eBPF, and more.
Run Chromium inside a Freestyle VM for tests and computer-use workloads. VMs start in 65 ms, support nested virtualization, and can be paused and resumed with state intact, so long-running browser automation sessions don't have to restart from scratch.
Freestyle VMs support nested virtualization, so you can run Docker and Docker Compose inside your VM. Install the toolchain your workload needs on a full Linux kernel, then use live cloning to copy a running VM — memory included — to scale out containers.
Connect VMs to your private cloud through WireGuard tunnels and remote networks, with default-deny network controls and per-VM rules. Publish apps on custom domains with managed HTTPS and live previews at app.yourdomain.com, while Enterprise plans add SAML SSO, SCIM, audit logs, and a 99.99% SLA.
Head to freestyle.sh and hit "Start building" — sign in and confirm your workload actually needs a full Linux VM rather than a lightweight sandbox.
Check the official pricing page directly, since usage-based rates from $0 to $500/month depend on vCPU, memory, storage, and data transfer — and YC founders should claim the $50,000 in credits at freestyle.sh/yc.
Spin up your first VM and confirm the 65 ms instant startup, then install your toolchain and test nested virtualization with Docker or Compose inside the VM.
Exercise live cloning and pause/resume on a running VM to confirm state survives, then wire up WireGuard tunnels and per-VM network rules before moving anything to production.
For AI agent developers whose workloads run for hours, days, or weeks and need a real Linux machine rather than a sandboxed function call, Freestyle addresses a real and specific problem. Instant startup in 65 ms, live cloning with memory, pause/resume with state intact, and per-VM network controls are the features that separate it from lighter sandbox abstractions like E2B. The constraints are equally clear: usage-based pricing from $0 to $500/month means cost scales with consumption, and teams that only need short-lived code execution may find a simpler abstraction cheaper. The honest recommendation is to verify your workload actually needs a full VM, check the pricing page directly, and — if you're a YC founder — claim the $50,000 in credits before evaluating anything else. If a persistent Linux machine is what your agent needs, Freestyle earns its place.
| Decision Area | Freestyle | When Another Option Wins |
|---|---|---|
| What it is | Full Linux VMs for AI agents, built for complex tasks that run for hours, days, or weeks. | If you only need short-lived sandboxed code execution, a lighter abstraction like E2B is simpler than provisioning a VM. |
| Startup time | A full Linux machine, ready in 65 ms. | If your workflow is short function calls rather than long-running workloads, startup speed of a full VM is less relevant. |
| State handling | Live cloning copies a running VM, memory included; pause and resume with your state intact. | If you need ephemeral, stateless execution rather than persistent machine state, a sandbox platform fits better. |
| Networking | Network controls with default deny and per-VM rules; live previews with custom domains and managed HTTPS; WireGuard tunnels to remote networks. | If you need simple outbound-only networking, a lighter runtime may cover that without the VM overhead. |
| Workload capability | Nested virtualization to run Docker and VMs inside your VM; full Linux kernel with support for FUSE, eBPF, and more; install your own toolchain. | If you want a managed runtime without kernel-level control, a sandbox abstraction is easier to operate. |
E2B is a sandbox abstraction with excellent execution ergonomics, while Freestyle is a Linux VM abstraction with production focus. Freestyle's own blog makes the distinction explicit: E2B optimizes for fast, ergonomic code execution, whereas Freestyle gives agents a full Linux VM with nested virtualization, live cloning, pause/resume, and per-VM network rules for long-running workloads.
Choose Freestyle if: You need a full Linux machine with instant startup (65 ms), live cloning with memory, pause/resume with state intact, and per-VM network rules. Choose E2B if: You mainly want a sandbox abstraction with excellent execution ergonomics for short-lived code execution.
Modal is a serverless compute platform oriented around functions and containers, whereas Freestyle is infrastructure: full Linux VMs with nested virtualization, custom domains, managed HTTPS, and WireGuard tunnels to your private cloud. If your agent needs to run code as short-lived functions, Modal is the natural layer; if it needs a persistent machine that survives for days or weeks, Freestyle is the layer.
Choose Freestyle if: Your agent needs to run Docker and VMs inside its VM, install its own toolchain, and connect to remote networks. Choose Modal if: Your primary need is serverless function execution rather than a persistent VM for agent tasks.
A Freestyle VM is a full Linux virtual machine built for AI agents, designed for complex tasks that run for hours, days, or weeks. It starts in 65 ms and includes a full kernel with support for FUSE, eBPF, and more.
Yes. Freestyle VMs let you install the toolchain your workload needs, and nested virtualization lets you run Docker and VMs inside your VM. The platform also supports live cloning, pausing and resuming with state intact, and per-VM network rules with a default-deny policy.
Freestyle VMs are built for complex tasks that run for hours, days, or weeks. Pause and resume preserves state, and live cloning lets you fork a running VM — memory included — so long-horizon workloads don't have to restart from scratch.
You can pause and resume with your state intact. Freestyle also supports live cloning, which copies a running VM including its memory.
Yes. Freestyle supports WireGuard tunnels and remote networks so you can connect to your private cloud. Network controls let you set the rules for network access with a default-deny policy and per-VM rules.
Bottom Line: If your AI agents run complex tasks for hours, days, or weeks and need a real Linux machine rather than a sandboxed function call, Freestyle is worth evaluating — but confirm your workload actually needs a full VM, check the usage-based pricing from $0 to $500/month directly, and claim the $50,000 in YC credits if you qualify before anything else.
Reviewed by theaitoolsbox.com editorial team
Freestyle uses usage-based pricing from $0 to $500/month depending on usage. Y Combinator founders can get $50,000 in credits.
Freestyle is best for AI agent developers who need real Linux VM infrastructure for complex, long-running agent tasks — not simple sandboxed code execution.
No. Freestyle provides full Linux VMs for AI agents (instant startup, live cloning, network controls) — it has no connection to email or inbox management.
Developer Tools
Basic features included
Perfect for hobby projects and getting started. Up to 10 Concurrent VMs, Up to 10 Saved VMs
For growing projects that need more power. Up to 40 Concurrent VMs, Up to 200 Saved VMs
For teams and production applications. Up to 400 Concurrent VMs, Up to 4,000 Saved VMs
Critical security, performance, and platform SLAs. All Pro features, plus: Custom usage limits, SAML SSO & SCIM, Audit logs, 99.99% SLA, Dedicated support
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