Provide AI agents with secure, isolated sandboxes featuring real-world tools, code execution, and enterprise-grade security. Trusted by 88% of Fortune 100 companies.

Overview:

E2B is an open-source infrastructure designed for running AI-generated code within secure, isolated sandboxes in the cloud. It addresses the need for a safe execution environment where untrusted or AI-generated code can run without risk to the host system. The project targets developers and teams building AI agents, tools, or applications that require dynamic code execution. It provides JavaScript and Python SDKs to programmatically start, control, and execute code within these temporary cloud environments, offering an API-driven approach for integrating code execution into AI workflows.

Core Features:

  • Secure Sandboxed Execution: Runs user or AI-generated code in isolated cloud environments to prevent interference with the host system.

  • JavaScript / Python SDKs: Provides official client libraries for creating and managing sandboxes programmatically.

  • Code Interpreter SDK: A dedicated SDK for executing code snippets via a runCode() or run_code() method.

  • Self-Hosting Support: Allows deployment of the E2B infrastructure on own cloud resources using Terraform, with support for AWS and Google Cloud (GCP).

Use Cases:

  • AI Agent Code Execution: Providing a secure runtime for an AI agent to write, test, and execute code as part of a task.

  • Dynamic Code Playgrounds: Creating temporary, safe environments for users to run untrusted code snippets from a web application.

  • Automated Code Testing: Running generated or user-submitted code in a clean, isolated environment for validation or evaluation purposes.

Why It Matters:

E2B offers a specialized, open-source solution for one of the core challenges in building AI agents: safe code execution. Its value lies in providing clear, documented infrastructure for this task rather than requiring developers to build their own secure sandboxing. The option to self-host using Terraform on major cloud providers like AWS and GCP provides transparency and potential data control for teams who need to manage the execution environment themselves, making it a practical building block for AI-powered tools.

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