# E2B

> Secure cloud sandboxes that give AI agents isolated Linux machines to run code

- Category: [Developer Tools](https://finderatlas.com/categories/developer-tools)
- Pricing: Freemium
- Website: https://e2b.dev
- Platforms: Web, API, CLI
- API: available
- Made by: FoundryLabs, Inc. (E2B), founded 2023, San Francisco, CA
- Last updated: 2026-10-19
- FinderAtlas page: https://finderatlas.com/tools/e2b

## Overview

E2B is an AI agent cloud that gives each agent session its own isolated Linux machine. Developers create a sandbox through a Python or JavaScript SDK, then run shell commands, execute code, read and write files, and expose ports over HTTPS from inside that environment. Each sandbox runs in a hardware-isolated Firecracker microVM rather than a shared-kernel container, so code written by a model can run without touching the host application.

## Key features

- Firecracker microVM Isolation
- Code and Command Execution
- Pause, Resume and Fork
- Network and Secret Controls
- Persistent Storage
- Custom Templates
- Observability
- Self-Hosting and BYOC

## Pricing

- **Hobby** ($0): Free start with one-time usage credit, no credit card
- **Pro** ($150/month): Production usage with longer sessions and custom sizing
- **Enterprise** (Custom): Large deployments with negotiated terms

## Best for

- Running untrusted LLM-generated code, building code interpreters, and giving coding or computer-use agents a disposable Linux environment

## Who uses it

- AI Engineers
- Agent Developers
- Backend Developers
- AI Startups
- Enterprise Platform Teams

## Strengths

- Hardware-level isolation through Firecracker microVMs rather than shared-kernel containers.
- Model- and framework-agnostic, with Python and JavaScript SDKs.
- Pause, resume and fork of sandboxes (up to 100 forks) suits parallel agent runs and evaluations.
- Free Hobby tier with $100 in credits and no credit card.
- Self-hosting and BYOC options for enterprises, plus SOC 2 Type II compliance.

## Limitations

- Pro costs $150/month before usage, a large step up from the one-time Hobby credit.
- No GPU support; sandboxes are limited to 8 vCPUs and 8 GiB RAM.
- Hobby sessions are capped at 1 hour of continuous runtime.
- Enterprise carries a stated $3,000/month minimum.

## Not recommended for

- Workloads needing GPUs (sandboxes are CPU-only), non-developers, or teams wanting a no-code agent builder

## Integrations

- Anthropic
- OpenAI
- LangChain
- OpenAI Agents SDK
- AWS
- GCP
- Azure

## FinderAtlas editorial scores (out of 10)

- Ease of Use: 8.3/10
- Feature Depth: 8.6/10
- Value for Money: 7.6/10
- Performance & Speed: 8.4/10
- Documentation & Support: 8.2/10

## Alternatives

- [CodeRabbit](https://finderatlas.com/tools/coderabbit): AI code review that checks, explains and prioritizes every pull request before merge ([compare](https://finderatlas.com/compare/coderabbit-vs-e2b))
- [Greptile](https://finderatlas.com/tools/greptile): AI code review that checks every pull request against your full codebase context ([compare](https://finderatlas.com/compare/e2b-vs-greptile))
- [fal](https://finderatlas.com/tools/fal): Run image, video, audio and 3D generative models through one fast developer API ([compare](https://finderatlas.com/compare/e2b-vs-fal))
- [OpenRouter](https://finderatlas.com/tools/openrouter): One API and one bill for hundreds of AI models across many providers ([compare](https://finderatlas.com/compare/e2b-vs-openrouter))
- [Warp](https://finderatlas.com/tools/warp): Open-source terminal with built-in AI agents and cloud infrastructure for coding workflows ([compare](https://finderatlas.com/compare/e2b-vs-warp))
- [Langfuse](https://finderatlas.com/tools/langfuse): Open-source platform to trace, evaluate and improve LLM applications and agents ([compare](https://finderatlas.com/compare/e2b-vs-langfuse))
- [Browserbase](https://finderatlas.com/tools/browserbase): Cloud browser infrastructure and APIs that let AI agents browse and act on the web ([compare](https://finderatlas.com/compare/browserbase-vs-e2b))
- [Browser Use](https://finderatlas.com/tools/browser-use): Open-source library and cloud platform for AI agents that control real web browsers ([compare](https://finderatlas.com/compare/browser-use-vs-e2b))

## Recent updates

- 2025-07-01: Reported $21 million Series A led by Insight Partners (per Preqin)

## FAQ

**What is an E2B sandbox?**

A sandbox is an isolated Linux machine, run as a Firecracker microVM, that an AI agent session can use to execute commands and code, manage files and expose ports.

**Which languages and SDKs are supported?**

E2B provides a Python SDK (Python 3.10+) and a JavaScript SDK (Node.js 20.18.1+ or 22+). Inside a sandbox you can run Python, JavaScript and any command available on the Linux machine.

**Does E2B offer a free plan?**

Yes. Hobby is free to start with no credit card and includes a one-time $100 usage credit, 20 concurrent sandboxes and sessions of up to 1 hour.

**Are GPUs available?**

No. The pricing page lists CPU and RAM only; sandboxes can have 1 to 8 vCPUs and 1 to 8 GiB of RAM.

**Can I self-host E2B?**

Enterprises can run the data plane in their own AWS, GCP or Azure account. E2B also publishes E2B Embed, an Apache-2.0 single-node package for Linux x86-64 machines with KVM.

**Is E2B tied to a specific AI model?**

No. E2B provides the machine and the user brings their own model, prompts and orchestration, including Anthropic, OpenAI and open-weight models.