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.
At a glance
- Category
- Software Development
- Best for
- AI developers, Enterprise software teams, Research organizations, AI agent startups
- 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.
- Key use cases
- AI Data Analysis and Visualization, Coding Agents, Deep Research Agents, Reinforcement Learning, Computer Use
- Integrations
- OpenAI, Anthropic, Mistral, Llama, LangChain
- Official website
- e2b.app
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
Isolated environments powered by Firecracker microVMs to run AI-generated code.
Supports the execution of AI-generated code in Python, JavaScript, Ruby, and C++.
Supports defining the environment a sandbox starts with, including specific packages and system libraries.
Compatible with various large language models including OpenAI, Llama, Anthropic, and Mistral.
Offers a managed cloud service as well as options for self-hosting, on-premises deployment, or Bring Your Own Cloud (BYOC).
Use Cases
Running AI-generated code to explore datasets and create charts within an isolated environment.
Executing code, managing I/O, and running terminal commands.
Supporting agents that conduct research on large datasets using isolated sandboxes.
Launching concurrent sandboxes to run and evaluate reward functions.
Providing virtual Linux desktops to LLMs to interact with a computer interface.
Best For
Integrations
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.
FAQ
E2B provides isolated cloud sandboxes (Linux VMs) that let AI agents safely run code, process data, and use system tools.
E2B is LLM-agnostic and works with various models, including OpenAI, Llama, Anthropic, and Mistral, as well as frameworks like LangChain.
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
