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Top Code-Execution Sandboxes for AI Agents (2026)

An agent that writes code has to run it somewhere. Running model-written code on your own machine is a trust problem. A sandbox gives the agent a walled-off place to run, often a microVM. That way a bad command can't reach your host or your secrets. This list covers the platforms built for that job.

  1. Open-source secure sandboxes built on Firecracker microVMs. AI agents run code and use real tools inside them. Self-described as "The Enterprise AI Agent Cloud."

    Isolation:
    Firecracker microVMs
    Source:
    Open source
  2. Secure infrastructure that runs AI-written code in walled-off sandboxes. Its tagline is "Sub 90ms sandbox creation from code to execution."

    Purpose:
    Isolated code execution
  3. Cloud infrastructure that runs AI workloads: inference, training, and batch jobs. It autoscales, starts fast from cold, and is driven by a Python SDK.

    Interface:
    Python SDK
  4. A Kubernetes-based runtime for apps, databases, and AI workloads across clouds. It is pitched at running generated code in a secure way.

    Runtime:
    Kubernetes-based
  5. A platform for agents that act on their own. Each runs in its own walled-off microVM and keeps its memory between runs.

    Isolation:
    microVMs
    State:
    Persistent memory

Reviewed quarterly. Cold-start times and pricing shift fast as vendors compete. So this list quotes how each vendor describes itself and leaves the numbers out. They would go stale within weeks. Each row carries the date it was last checked against the vendor source.

Common questions

Why does an AI agent need a sandbox?
Because the code an agent writes has to run somewhere. Run it on your own machine and a wrong or hostile command can reach your files, your network, and your secrets. A sandbox walls the code off. Any damage stays inside a throwaway box.
What is a microVM sandbox?
A small, light virtual machine. Firecracker is the common tech behind it. It boots in a fraction of a second. It also walls code off better than a container does. That is why several agent platforms use them.