E2B

E2B is a cloud sandbox service for AI apps. When your model writes code, E2B runs it in an isolated VM and returns the output, so users never execute untrusted code on your servers.

What is E2B?

E2B stands for “environment to browser” and it is aimed at teams building AI features that need to execute code. Think data-analysis chatbots, code assistants or agent frameworks. You launch a sandbox with an SDK, stream output, and it shuts down when idle. It is a hosted service rather than something you run yourself.

Product Features

• Fast boot: sandboxes start in roughly 150ms, warm pool included.
• Language SDKs: Python and JavaScript clients, plus a REST API.
• Filesystem and pip: install packages and persist files inside a session.
• Long sessions: sandboxes can run for hours and stay alive between calls.
• Custom templates: bake your own runtime image with Docker.

Product Highlights

The developer experience is the strong part. The SDK is small and the docs assume you already build agents, which cuts setup to a few lines. For teams shipping an AI data-analysis feature, that is most of the work.

The trade-off is control and cost. E2B is hosted, so some security-conscious teams cannot use it. Long-running or many-sandbox workloads bill by usage, and a bug that leaks sandboxes will show up on the invoice.

Use Cases

• Powering a “chat with your CSV” analysis feature.
• Running agent-generated scripts without exposing your host.
• Giving an AI coding tutor a safe place to execute answers.
• Automated evaluations that run model output as code.
• Building a notebook-style tool where users run snippets.

Is E2B free?

There is a free tier with a monthly sandbox-hour allowance for development. Beyond that, billing is usage-based on compute time and memory, with enterprise options for volume and compliance needs.

Quick Summary

• E2B runs AI-generated code in isolated cloud sandboxes.
• Sandboxes boot in about 150ms.
• Python and JavaScript SDKs, Docker templates.
• Hosted only; usage-based pricing.