E2B — Secure Environment for AI-Generated Code Execution

Overview

E2B is an open-source infrastructure designed to run AI-generated code securely in isolated sandboxes within the cloud. It offers SDKs for both JavaScript and Python, enabling developers to start and control sandboxes with ease. E2B stands out for its focus on security and the ability to integrate with various AI frameworks and LLMs.

Key Features

Secure sandbox environment for AI-generated code execution
JavaScript and Python SDKs for easy integration
Supports various AI frameworks and LLMs
Self-hosting capabilities with Terraform deployment

Use Cases

Enterprises needing to execute untrusted code securely
Developers integrating AI-generated code into their applications
Researchers testing AI models in a controlled environment

Advantages

Enhanced security through isolated execution environments
Flexibility with support for multiple programming languages and AI frameworks
Scalability to handle various workloads in the cloud

Limitations / Considerations

Requires an E2B API key for operation
Currently supports GCP and AWS, with Azure and general Linux machine support pending
May have limitations depending on the specific cloud provider's features and restrictions

OpenAI Codex: A code-generating AI model, but without the sandbox execution feature.
Google Cloud Sandbox: Provides a sandbox environment, but not specifically tailored for AI-generated code.
AWS CodeGuru: Offers code reviews and performance optimization, lacking the sandbox execution aspect.

Basic Information

GitHub: https://github.com/e2b-dev/E2B
Stars: 9,597
License: Unknown
Last Commit: 2025-10-01

📊 Project Information

Project Name: E2B
GitHub URL: https://github.com/e2b-dev/E2B
Programming Language: MDX
⭐ Stars: 9,597
🍴 Forks: 669
📅 Created: 2023-03-04
🔄 Last Updated: 2025-10-01

🏷️ Project Topics

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📚 Documentation

E2B documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

E2B

Project Description