Open-source desktop app to run, serve and fine-tune text, image, video and audio models entirely on your own machine.
Summary
Secure cloud sandboxes where AI agents can run untrusted code safely, starting in milliseconds.
Description
E2B gives AI agents a computer. Each sandbox is an isolated cloud VM with a filesystem, a shell, internet access, and a runtime, started in about 150 milliseconds and destroyed when the task ends.
Why it exists
Any agent that writes code eventually needs to run it, and running model-generated code on your own infrastructure is a bad idea. E2B provides the isolation boundary, so a mistake — or a prompt injection — is contained to a disposable VM.
Capabilities
- Fast start-up, fast enough to create a sandbox per request rather than pooling them
- Filesystem access for uploading data and retrieving generated artefacts
- Process control for running commands and streaming output back
- Code interpreter SDK with a Jupyter-style kernel, stateful across calls, returning charts and tables as structured results
- Custom templates so a sandbox boots with your dependencies preinstalled
- Long-running sandboxes with pause and resume for multi-hour tasks
Who uses it
Teams building data analysis agents, coding agents, AI app builders, and evaluation harnesses. SDKs for Python and JavaScript; open source with a free tier, usage-based pricing by sandbox seconds, and self-hosting for enterprises.
Reviews
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