CreateOS Sandbox Review (2026): Pricing, Features & Honest Verdict

TLDR

CreateOS Sandbox is a cloud sandbox service that gives every AI agent its own hardware-isolated Firecracker micro-VM to run untrusted code in. The verdict: the isolation and pause-to-zero billing are genuinely well built, but it is still alpha and priced at the same rate as E2B and Daytona. Best for teams building AI agents that execute model-generated code. Price: Free to start, then usage-based from about $0.05 per vCPU-hour. Rating: 7.4/10.

What is CreateOS Sandbox?

We found CreateOS Sandbox on Product Hunt in July 2026, and it is worth being precise about what it is. This is not the CreateOS deployment platform that NodeOps shipped earlier in the year. CreateOS Sandbox is a separate product that lives at createos.sh, and it solves a narrower problem: giving an AI agent a fast, secure, throwaway computer to run code in without that code being able to touch anything it should not.

The company behind it is NodeOps, a venture-backed infrastructure team that also builds the CreateOS deployment product. The pitch here is simple. When your agent writes code and needs to run it, you do not want that running on your own servers or in a shared container that a compromised process can escape. CreateOS Sandbox hands each workload its own Firecracker micro-VM with its own Linux kernel, spun up in about 30 milliseconds at the 90th percentile. When the agent is done, the box self-destructs. It launched into a crowded market that already includes E2B, Daytona, and Modal, so the interesting question is whether the execution justifies picking it over the incumbents.

What Are CreateOS Sandbox’s Key Features?

Hardware-isolated Firecracker micro-VMs

Every sandbox runs as a Firecracker micro-VM with its own guest kernel. This matters because container-based sandboxes share the host kernel, and a kernel exploit inside a container can, in theory, reach the host. A micro-VM gives you a real virtualization boundary. For anyone running code that a language model just wrote, that is the difference between a bad output and a security incident.

Pause-to-zero snapshots

This is the feature that stood out to us. CreateOS Sandbox can snapshot a running sandbox, including its memory, vCPU registers, and device state, and pause it. While paused, compute billing stops. When you resume, the exact state comes back with no cold boot. For agent workflows that sit idle between steps, you stop paying for the wait without losing the environment. That is a real money saver compared to keeping a box warm.

In-kernel egress control with eBPF

Network egress is enforced with eBPF rules from outside the sandbox. Code running inside cannot route around the policy, even if it fully takes over the guest. You set an allowlist of what the sandbox can reach, and that rule lives below the layer any in-sandbox process can touch. For running untrusted code, this is the correct place to enforce network policy.

Agent-native SDK, CLI, and MCP support

You provision sandboxes through a TypeScript SDK, a CLI, or the Model Context Protocol. The MCP support means an agent can request and manage its own sandboxes as a tool call, which is exactly how you want this wired up in 2026. CreateOS also shipped a Claude plugin so Claude can run untrusted code in a box that cleans itself up when idle. You can also mount your own S3, MinIO, or Cloudflare R2 storage, and there are no egress fees on data leaving the platform.

How Much Does CreateOS Sandbox Cost?

CreateOS Sandbox is usage-based. Compute runs at about $0.0504 per vCPU-hour plus $0.0162 per GiB of RAM per hour, billed per second, with no minimums. New accounts get 500 free credits with no card required, which is enough to test it properly before you commit. There are no egress fees, which is a genuine cost advantage since data transfer is where sandbox and cloud bills quietly balloon.

Here is the honest part. NodeOps sets that compute rate at the E2B and Daytona reference price and publishes the comparison itself. So on raw compute, this is not cheaper than the tools it competes with. The savings show up in two places: no egress fees, and pause-to-zero cutting the idle time you pay for. Whether that nets out cheaper depends entirely on how chatty and how idle your agents are.

Who Is CreateOS Sandbox Best For?

Use CreateOS Sandbox if you are building AI agents that run code the model generated, and you care about real isolation rather than a shared container. It fits teams doing code interpreters, autonomous coding agents, data analysis agents, or anything where the security boundary actually matters. The pause-to-zero model is a strong fit for agents that stall between steps.

Skip CreateOS Sandbox if you need a mature platform with a long public track record and a signed uptime SLA today. It is in alpha. It carries SOC 2 Type II and ISO 27001 certifications, which is more than most alpha products can say, but it does not yet have the years of production history that E2B and Modal have accumulated. If you are shipping something mission critical this quarter, that history has value.

Best CreateOS Sandbox Alternatives

E2B is the best known name in agent sandboxes and the reference CreateOS prices against. It has a large user base, a mature SDK, and a generous free tier, and it is the safe default if you want the most-tested option. Daytona focuses on fast, disposable development environments for agents and is another direct comparison point on both features and price. Modal is broader, a serverless compute platform for AI workloads that handles far more than sandboxing, so it is the pick if you want one platform for training, inference, and code execution rather than a dedicated sandbox layer.

Final Verdict: Is CreateOS Sandbox Worth It?

CreateOS Sandbox is a well-engineered product. The Firecracker isolation, the pause-to-zero billing, the eBPF egress control, and the MCP-native provisioning are all the right decisions, and the security certifications are unusual for something this early. If you are building agents that run untrusted code, the technical foundation here is sound, and the 500 free credits make it easy to try without risk.

The reservation is maturity, not engineering. It is alpha, and it prices compute at the same rate as the incumbents, so its cost story rests on egress and idle savings rather than a lower base rate. For side projects, prototypes, and teams that want the isolation model, it is an easy recommendation. For production workloads that need a proven track record and a hard SLA right now, we would test it in parallel with E2B before betting on it. This is a strong entry that needs a few more months in the market to prove itself.