E2B is an open-source infrastructure designed to run AI-generated code in secure, isolated cloud sandboxes. It provides JavaScript and Python SDKs for starting and controlling these environments, as well as a specialized Code Interpreter SDK for advanced code execution tasks. The project supports self-hosting on AWS and Google Cloud via Terraform and is built to support enterprise-grade agents.
Exploring secure environments for testing and running AI agent code, including options like Docker, online IDEs, and dedicated platforms.
A curated guide to code sandboxing solutions, covering technologies like MicroVMs, application kernels, language runtimes, and containerization. It provides a feature matrix, in-depth platform profiles (e2b, Daytona, microsandbox, WebContainers, Replit, Cloudflare Workers, Fly.io, Kata Containers), and a decision framework for choosing the right sandboxing solution based on security, performance, workload type, and hosting preferences.
This JavaScript guide demonstrates the basics of E2B: connecting to an LLM, generating Python code, and executing it securely in an E2B sandbox.
