E2B - AI Agent Code Sandbox

Basic Information

• Company/Brand: E2B
• Country/Region: USA
• Official Website: https://e2b.dev
• GitHub: https://github.com/e2b-dev/E2B
• Type: Open-source AI agent cloud infrastructure
• Technical Foundation: Firecracker microVM

Product Description

E2B is an open-source infrastructure platform that provides AI agents with a secure, isolated cloud sandbox environment for executing AI-generated code. Based on Firecracker microVM technology, E2B offers isolated Linux microVMs with a startup time of 150ms, and is used in production environments by approximately half of the Fortune 500 companies.

Core Features/Characteristics

• Secure Isolated Sandbox: Fully isolated execution environment based on Firecracker microVM
• Ultra-Fast Startup: 150ms sandbox startup time
• Code Interpreter SDK: Python and JS/TS SDKs for running AI-generated code in the sandbox
• E2B Desktop: Desktop graphical environment that can connect to any LLM for secure computer usage
• GitHub Actions Integration: Supports running tests and AI code reviews in CI/CD pipelines
• Custom Templates: Define sandbox environments through custom templates
• On-Demand Creation: Agents create sandboxes on-demand, which are destroyed after use

Business Model

• Hobby Plan: Free, $100 one-time usage credit, 20 concurrent sandboxes
• Pro Plan: $150/month
• Enterprise Plan: Custom pricing
• Per-Second Billing: Approximately $0.05/hour for 1 vCPU sandbox, RAM included in CPU price

Target Users

• AI agent application developers
• Platforms requiring secure execution of AI-generated code
• Developers of AI programming assistants and code interpreters
• Teams needing AI code validation in CI/CD processes

Competitive Advantages

• Code execution infrastructure specifically designed for AI agents
• High-security isolation provided by Firecracker microVM
• 150ms ultra-fast startup, suitable for real-time interaction scenarios
• Active open-source community, adopted by half of the Fortune 500
• AI-first design philosophy compared to competitors like Modal and Daytona

Market Performance

• Recognized as the default choice in the AI code sandbox field
• Handled a large volume of production-level workloads in 2025
• Excelled in AI code execution benchmarks
• Formed a tripartite market landscape with Modal and Daytona

Relationship with OpenClaw Ecosystem

E2B can provide a secure code execution environment for OpenClaw's AI agents. When personal agents need to run code (such as data analysis scripts, automation tasks, etc.), E2B's sandbox ensures that the code is executed in an isolated environment, preventing any risks to the user's system. Its Desktop feature can also support agent-controlled computer scenarios.