E2B

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Overview

An open-source platform providing secure cloud sandboxes for executing AI-generated code, facilitating the development and deployment of AI agents and applications.

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Best For Professions:

software developers AI researchers data scientists automation engineers

E2B is an open-source infrastructure that enables developers to run AI-generated code within secure, isolated cloud sandboxes. Designed to support agentic and AI use cases, E2B offers a runtime environment where AI agents and applications can execute code safely. The platform provides SDKs in JavaScript and Python, allowing for seamless integration and control of sandboxes. E2B's sandboxes are lightweight virtual machines that start in under 200 milliseconds, offering a responsive environment for tasks such as AI data analysis, code generation evaluations, and running AI-generated applications. By facilitating secure and efficient code execution, E2B empowers developers to build and deploy AI solutions with confidence.

Autonomy level

72%

Reasoning: E2B provides a secure sandbox environment enabling AI agents to autonomously execute code, manage filesystems, and interact with external APIs while maintaining safety constraints. The platform supports dynamic task handling through event-driven architecture (e.g., file watchers) and offers SDKs for programmatic control. However, autonomy is bounde...

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Some of the use cases of E2B:

Executing AI-generated code securely in isolated cloud environments.
Developing and testing AI agents and applications with safe code execution.
Integrating AI code interpretation capabilities into existing applications.
Conducting AI data analysis and visualization within secure sandboxes.

Pricing model:

free

Code access:

open-source

Popularity level: 65%

E2B