E2B is an open-source infrastructure platform that runs AI-generated code in secure isolated sandboxes in the cloud.
The core problem E2B addresses is the need to safely execute code generated by large language models without exposing the host system to risk. It provides sandboxed cloud environments where AI agents can run arbitrary code, system commands, and interactive applications. The platform offers SDKs for both JavaScript and Python to start and control these sandboxes, along with specialized modules for code interpretation and desktop interaction including mouse, keyboard, and screenshot capabilities.
Teams building AI agents, copilots, or applications that need to execute untrusted code should consider E2B. It suits projects where an LLM generates code that must run reliably in isolation, such as code execution tools, data analysis agents, or autonomous software development systems. The platform supports self-hosting on AWS and Google Cloud using Terraform, making it viable for organizations with strict infrastructure requirements. The documentation and cookbook examples demonstrate integration patterns with various LLMs and AI frameworks.
The project maintains active development across multiple language SDKs and specialized packages. The codebase shows ongoing expansion of capabilities, with distinct modules for code interpretation and desktop automation indicating iterative feature development. The infrastructure components are published separately to support self-hosting scenarios, suggesting a commitment to operational flexibility. Documentation and example repositories are actively maintained alongside the core platform.
