e2b.dev

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E2B is an open-source runtime designed for executing AI-generated code in secure cloud sandboxes. Tailored for AI-powered and agentic use cases, E2B enables developers to run code across various languages and frameworks with minimal setup. Whether you’re handling short snippets or fully autonomous AI agents, E2B provides the flexibility and performance needed to bring your AI-driven projects to life. It supports popular models like OpenAI, Llama, and Anthropic, allowing you to run code in Python, JavaScript, Ruby, or C++ without the need for infrastructure management.

Key Features:

Secure sandbox environment powered by Firecracker microVM for executing untrusted code.
No cold starts, with sandboxes spinning up in under 200 ms.
Full compatibility with major AI models, including OpenAI, Anthropic, and Llama.
Supports any AI-generated code, from small scripts to complex applications.
Up to 24-hour runtime sessions for long-running processes.
Customizable sandboxes, enabling easy installation of packages and libraries.
Interactive charts and visual outputs for data analysis and visualization.

Disclaimer: Please refer to the website for the most accurate and current pricing details and service offerings.

Best for:

AI developers working with autonomous agents.
Data scientists needing secure environments for code execution and analysis.
Enterprises looking to scale AI solutions with secure runtime environments.
Developers needing to run AI-generated code across different languages and frameworks.
Teams building AI-powered applications that require extensive computation and data processing.
Innovators exploring generative UI or complex system integrations in a safe space.

E2B is ideal for those looking to leverage the power of AI in a controlled, flexible, and secure cloud environment.

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