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E2B Sandbox

Secure cloud sandbox for running AI-generated code in production

★ 2,349 GitHub Apache-2.0 code-interpretersandboxai-agentscode-executionpythonjavascript AI Agents

Overview

E2B Sandbox is a secure, cloud-based execution environment designed for AI agents and applications that need to safely run code generated by Large Language Models. It provides fully isolated, ephemeral sandboxes where AI agents can write, run, and debug code without risking system compromise. With native SDKs for Python and JavaScript/TypeScript, E2B integrates seamlessly into existing AI pipelines for code interpretation, data analysis, file generation, and more. Trusted by developers building production AI agents, it boasts 2,300+ GitHub stars and an active open-source community.

Requirements

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  e2b-sandbox:
    image: e2bdev/code-interpreter:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/e2b-sandbox:/data

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Guides & articles

E2B Sandbox Review: The Best Code Execution Sandbox for AI Agents?

An honest review of E2B Sandbox covering strengths, weaknesses, alternatives comparison, and verdict for AI agent developers.

Jun 27, 2026

Getting Started with E2B Sandbox: Secure Code Execution for AI Agents

Learn how to use E2B Sandbox for secure AI-generated code execution. Step-by-step guide with Python SDK examples and Docker setup.

Jun 27, 2026