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E2B

Free · From $150/mo

This tool offers secure, isolated cloud environments, called 'sandboxes', for AI agents and large language models. Your AI can safely run code, analyze data, and perform complex tasks like deep research or using a virtual computer. It starts quickly, works with any AI model, and keeps your main systems protected.

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About E2B

Who It's For

This tool helps AI developers, startups, and large companies building AI agents or products. If your AI needs a secure, real-world environment to run code and perform tasks, this platform is designed for you.

What You Get

You receive secure, isolated cloud sandboxes that start in under 200 milliseconds. These environments support any programming language and work with all major AI models. You can easily manage files, customize your setup, and even provide virtual computers for your AI to use.

How It Works

Your AI code runs inside small, secure virtual machines called sandboxes. You control these using simple code kits in Python or JavaScript. This setup allows your AI to safely execute code, browse the internet, and analyze data in its own private, isolated space.

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Features & Capabilities

🚀 Agent Toolkit

Deep Research Agents

Enables AI agents to perform extensive research on large datasets efficiently.

AI Data Analysis & Visualization

Provides secure sandboxes for exploring data and generating charts.

Secure Code Execution

Allows agents to safely execute code, manage I/O, access the internet, and use terminal commands.

Reinforcement Learning Support

Facilitates running and evaluating reward functions across thousands of concurrent sandboxes.

🔒 Secure & Scalable Infrastructure

Isolated MicroVMs

Each sandbox is powered by Firecracker for robust security and full isolation of workloads.

Rapid Sandbox Startup

Ensures sandboxes launch in under 200 ms, eliminating cold start delays.

Extended Session Duration

Supports sandbox sessions lasting up to 24 hours for complex or long-running tasks.

Flexible Deployment Options

Offers BYOC (Bring Your Own Cloud), on-prem, or self-hosted deployment across major cloud providers.

🔗 Universal AI Compatibility

LLM Agnostic Integration

Works seamlessly with any Large Language Model, including OpenAI, Llama, Anthropic, and custom models.

Multi-Language & Framework Support

Executes code written in any language (Python, JS, Ruby, C++) or framework that runs on Linux.

Interactive Development Environment

Allows agents to install packages, use terminals, browse the web, inspect errors, and manage files within the sandbox.

Customizable Sandbox Templates

Enables users to create and deploy custom sandbox environments tailored to specific use cases.

Use Cases

Accelerating Secure AI Agent Development and Testing

AI developers and research teams require secure, real-world environments to build, test, and iterate on complex AI agents capable of using tools and interacting with external systems. E2B provides isolated, full virtual computer sandboxes, empowering agents to execute code, conduct deep research, and access diverse tools safely and efficiently, significantly accelerating development cycles.

AI/ML DevelopmentFor: AI Developers

AI-Powered Secure Data Exploration and Visualization

Data professionals often need to securely explore and visualize sensitive datasets with AI, but face challenges with data privacy, computational resources, and integrating AI models. E2B's isolated sandboxes enable AI agents to safely connect to data, perform advanced analysis, and generate dynamic visualizations across various programming languages, ensuring data integrity and scalable processing.

Data ScienceFor: Data Scientists

Streamlining AI-Generated Code Execution and App Development

Developers integrating LLMs into applications need a reliable, secure, and flexible runtime for AI-generated code, often across multiple languages and complex API integrations. E2B's universal code runtime in secure sandboxes allows AI agents to generate, execute, debug, and auto-correct code, streamlining the development, testing, and scaling of AI-driven applications and integrations.

Software DevelopmentFor: Software Engineers

Scaling Reinforcement Learning Model Training

Training sophisticated reinforcement learning models necessitates running and evaluating reward functions across a massive number of concurrent environments, which poses significant infrastructure and orchestration challenges. E2B addresses this by providing highly scalable, isolated sandboxes that can run tens of thousands of concurrent experiments, enabling research and development teams to rapidly train and optimize complex AI models.

AI ResearchFor: Research Scientists

Frequently asked questions

E2B AI is an open-source, secure cloud platform that provides isolated sandboxed virtual machines (VMs) for running AI-generated code. It is designed for AI agents, LLMs, and developers who need a safe environment to execute code, analyze data, and build advanced AI applications.

E2B AI is for AI developers, companies and enterprises, research groups, startups, and anyone building AI agents, integrating AI into business workflows, or creating AI-powered products.

E2B AI offers secure, isolated cloud sandboxes for running AI-generated code, fast sandbox startup (typically ~150ms), support for multiple programming languages (Python, JavaScript, Java, C++, etc.), real-time interactions and seamless integration with various large language models (LLMs), file upload/download capabilities for data portability, customizable environments with support for installing third-party packages, and virtual desktop environments for more complex agent workflows.

E2B runs AI-generated code inside isolated virtual machines called sandboxes. Each sandbox is a small, secure VM that can be started quickly and managed via simple SDKs (Python or JavaScript). Developers can run multiple sandboxes simultaneously, each for a different user, agent, or session. The platform supports real-time code execution, data analysis, and visualization.

E2B AI supports deep research agents (for analyzing large datasets), AI data analysis & visualization agents (for exploring data and generating charts), coding agents (for executing code, using I/O, accessing the internet, or running terminal commands), reinforcement learning agents (for running and evaluating reward functions), and computer use agents (for providing secure virtual computers in the cloud for LLMs).

Yes, E2B AI is LLM-agnostic and compatible with any model, including OpenAI, Llama, Anthropic, Mistral, and custom models.

The key features include secure cloud sandboxes for safe code execution, multi-language SDKs (Python, JavaScript, Java, C++), real-time interactions and immediate feedback, integration with various LLMs and AI frameworks, support for file upload/download and data portability, customizable environments with package installation, and virtual desktop environments for advanced agent workflows.

To get started with E2B AI, first install the E2B SDK (Python or JavaScript), then set up your API keys (E2B API key and any LLM API keys you plan to use). After that, start and manage sandboxes using the SDK, and finally, upload files, run code, and download results as needed.

The use cases for E2B AI include AI data analysis and visualization, code interpretation and execution, deep research on large datasets, reinforcement learning, computer use agents, and app generation and evaluation.

Yes, E2B is open-source and available on GitHub. Developers can contribute to the project and customize it for their needs.

Documentation and support can be found in the official documentation, the GitHub repository, and through community forums and tutorials available on the official website and GitHub.

Potential limitations include issues with very large datasets or complex AI models that require extensive computational resources. Users should check the documentation for specific compatibility guidelines.

The E2B AI playground is an interactive and secure sandbox environment where developers can experiment with and run their AI agents. It allows for quick iteration and testing of AI-generated code and agent behaviors.

Yes, E2B AI supports BYOC (Bring Your Own Cloud), on-premises, and self-hosted deployments. It works with AWS, GCP, Azure, or your own VPC.

E2B AI ensures security because all code execution happens in isolated sandboxes, preventing any unintended changes to the main system. Additionally, sandboxes are secure and ephemeral, ensuring that no data or code persists between sessions.

Available support channels include community forums, the GitHub repository, official documentation and tutorials, and direct support from the E2B development team.

Tags

data analysisdata visualizationsecure code executionreinforcement learning

Specifications

Deployment
API
Self-hosted
Cloud
Target Audience
Business
Enterprise
Complexity
Expert

Pricing

Hobby

Per one-time

Free
  • One-time $100 of usage in credits
  • Community support
  • Up to 1-hour sandbox session length
  • Up to 20 concurrently running sandboxes

Pro

Per monthly

$150
  • Includes all features from the Hobby tier
  • Customize your Sandbox CPU & RAM
  • Up to 24-hour sandbox session length
  • Up to 100 concurrently running sandboxes

Ultimate

Per one-time

Contact sales
  • Custom solution with special pricing and features

✓ Free plan • ✓ Plans from $150 / monthly

Integrations

Jupyter Notebook
OpenAI
AI-SDK
Anthropic
Mistral
Llama

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