E2B provides cloud-based sandboxed environments specifically designed for AI agents and LLM applications. Each sandbox is a lightweight micro-VM with its own isolated OS that starts in approximately 150 milliseconds, giving AI agents a secure space to execute code and interact with filesystems.
The platform solves a critical challenge in agentic AI: allowing AI agents to execute arbitrary code safely. Agents can run Python scripts, install packages, execute terminal commands, read and write files, and even run web servers — all within an isolated environment that cannot affect the host system.
Custom sandbox templates built from Dockerfiles enable pre-configuring environments with specific tools, libraries, and configurations. The SDK provides programmatic control over sandboxes through Python and JavaScript/TypeScript, with simple APIs for code execution, file operations, and process management.
E2B is used as the code execution backend for AI coding assistants, data analysis agents, code interpreters like those in ChatGPT, and automated testing pipelines. The platform offers a free tier with paid plans scaling based on sandbox hours consumed.