AI TOOL PROFILE

E2B | Secure Cloud Sandboxes for AI Agents

E2B helps developers and enterprises build AI agents that can execute code in isolated environments. It is designed for teams needing secure, scalable infrastructure for AI-generated data analysis and coding tasks.

Pricing

E2B offers a free Hobby tier with $100 in usage credits. The Pro plan starts at $150 per month plus usage costs. Enterprise plans have custom pricing.

At a glance

Best for
AI developers, Enterprise software teams, Research organizations, AI agent startups
Key use cases
AI Data Analysis and Visualization, Coding Agents, Deep Research Agents, Reinforcement Learning, Computer Use
Integrations
OpenAI, Anthropic, Mistral, Llama, LangChain
Visit E2BE2B software interface screenshot

How AI is used

E2B is an open-source runtime that provides AI agents with secure cloud-based computers. Using Firecracker microVM technology, it creates isolated Linux virtual machines that allow agents to execute code in languages such as Python and JavaScript.

The platform is intended for developers and organizations building agentic workflows. It supports the execution of AI-generated code and provides agents with access to a terminal, filesystem, and the ability to install system libraries.

Buyers may use E2B to support AI behaviors such as deep research or data visualization. The platform is LLM-agnostic and compatible with various models and frameworks, including OpenAI, Anthropic, and LangChain.

Users can choose between a managed cloud environment or self-hosted and on-premises options. Long-running sessions are available in paid tiers.

Key Features

  • Secure Cloud Sandboxes

    Isolated environments powered by Firecracker microVMs to run AI-generated code.

  • Multi-Language Execution

    Supports the execution of AI-generated code in Python, JavaScript, Ruby, and C++.

  • Custom Sandbox Templates

    Supports defining the environment a sandbox starts with, including specific packages and system libraries.

  • LLM Agnostic

    Compatible with various large language models including OpenAI, Llama, Anthropic, and Mistral.

  • Flexible Deployment

    Offers a managed cloud service as well as options for self-hosting, on-premises deployment, or Bring Your Own Cloud (BYOC).

Use Cases

  • AI Data Analysis and Visualization

    Running AI-generated code to explore datasets and create charts within an isolated environment.

  • Coding Agents

    Executing code, managing I/O, and running terminal commands.

  • Deep Research Agents

    Supporting agents that conduct research on large datasets using isolated sandboxes.

  • Reinforcement Learning

    Launching concurrent sandboxes to run and evaluate reward functions.

  • Computer Use

    Providing virtual Linux desktops to LLMs to interact with a computer interface.

Integrations

  • OpenAI
  • Anthropic
  • Mistral
  • Llama
  • LangChain
  • LangGraph
  • GitHub Actions

FAQ

What is E2B?

E2B provides isolated cloud sandboxes (Linux VMs) that let AI agents safely run code, process data, and use system tools.

Which LLMs are compatible with E2B?

E2B is LLM-agnostic and works with various models, including OpenAI, Llama, Anthropic, and Mistral, as well as frameworks like LangChain.

What are the differences between the Hobby and Pro plans?

The Hobby plan is free with $100 in credits and 1-hour session limits. The Pro plan costs $150/month and supports session lengths up to 24 hours and concurrency up to 100 sandboxes.

Source category: Software Development

Source subcategory: Cloud Infrastructure

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