# E2B

Secure cloud sandboxes for running AI-generated code safely.

- Category: Developer Tools
- Pricing: Contact for pricing
- Tags: API, Coding Assistants
- Website: https://e2b.dev/?via=aigregator
- Aigregator page: https://aigregator.com/tools/e2b
- API: https://x402.aigregator.com/v1/tools/e2b

## Overview
E2B is an open-source infrastructure platform that provides secure, isolated cloud environments for AI agents and applications to execute code. The platform runs on Firecracker microVMs and allows developers to securely execute AI-generated code in Python, JavaScript, Ruby, and C++ without exposing their infrastructure to risk. E2B is designed specifically for enterprise-grade agentic workflows and is used by 94% of Fortune 100 companies. The platform supports various use cases including deep research agents, data analysis, coding agents, and computer use applications. One limitation is that custom advanced features and self-hosted deployments require enterprise agreements, which may not be suitable for smaller organizations or individual developers with limited budgets.
## Key Features
- LLM-agnostic compatibility with OpenAI, Anthropic, Mistral, Llama, and custom models
- Support for multiple programming languages: Python, JavaScript, Ruby, C++
- 80ms startup time with no cold starts
- Up to 24-hour long-running sessions
- Package installation and system library customization
- Terminal access for executing commands
- Browser support for web-based workflows
- Error inspection and debugging tools
- File save and upload capabilities
- BYOC (Bring Your Own Cloud) deployment options for AWS, GCP, Azure

## Use Cases
- Deep research agents that conduct time-consuming research on large datasets
- AI data analysis and visualization with secure data exploration
- Coding agents that execute code, use I/O, access the internet, and run terminal commands
- Computer use applications providing secure virtual computers for LLMs
- Reinforcement learning with thousands of concurrent sandboxes for reward function evaluation

## Who It Is For
- Enterprise companies building AI agents and agentic applications
- AI startups developing code-executing AI systems
- Development teams needing secure code execution environments
- Researchers using reinforcement learning and model training
- Organizations requiring compliance and security-focused AI infrastructure

## Pros
- Used by 94% of Fortune 100 companies, demonstrating enterprise-grade reliability and trust
- Industry-leading 80ms startup time with no cold starts enables real-time agentic workflows
- Complete LLM agnosticism allows seamless integration with any AI model without vendor lock-in
- Firecracker-based microVM isolation provides superior security for running untrusted AI-generated code

## Cons
- Self-hosted and on-premises deployments require enterprise agreements, limiting accessibility for smaller teams
- Advanced customization features like BYOC are restricted to Pro tier or higher plans
- Limited public information about pricing for different tiers may require contacting sales

## Alternatives
- [Beam Cloud](https://aigregator.com/tools/beam-cloud)
- [AirOps](https://aigregator.com/tools/airops)
- AWS Lambda
- Docker containers with custom sandboxing

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Source: Aigregator — AI tools directory. https://aigregator.com/tools/e2b