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E2B

4.5
•

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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OverviewFeaturesUse CasesFAQIntegrationsPricing

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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Give your AI a memory

Build one knowledge base all your AI tools draw from, kept current with your review.

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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

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

Free
  • 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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