E2B Enterprise AI Agent Cloud

Description

E2B, the Enterprise AI Agent Cloud, offers a secure and robust platform for deploying and running advanced AI agents. It provides AI agents with secure virtual computers equipped with real-world tools, enabling them to perform complex tasks that require interaction with software and data.

At its core, E2B offers AI Sandboxes, which are open-source, secure environments that come pre-loaded with real-world tools. These sandboxes are designed for enterprise-grade agents, allowing them to execute code, browse the web, interact with files, and perform other actions that mimic human computer usage. This capability is crucial for agents involved in deep research, data analysis, coding, and automation.

The platform is built with enterprise needs in mind, emphasizing security and isolation. Each sandbox is powered by Firecracker microVMs, ensuring full isolation for untrusted workflows. Sessions can run for extended periods, up to 24 hours, with options for customization through custom sandbox templates or on-the-fly package installation.

E2B is designed to be LLM-agnostic, working seamlessly with popular models from OpenAI, Anthropic, Mistral, Llama, and custom models. The quick start times, often under 200 ms, mean no cold starts, allowing agents to begin their tasks immediately. This makes E2B suitable for a wide range of applications, from AI data analysis and visualization to coding agents and reinforcement learning experiments.

Companies like Perplexity, Manus, Groq, and Lindy leverage E2B for their agentic workflows. The platform's ability to provide agents with virtual computers and real-world tools has been instrumental in shipping advanced features and scaling operations. E2B is trusted by a significant portion of Fortune 100 companies, highlighting its reliability and enterprise-grade capabilities.

E2B Enterprise AI Agent Cloud's Core Features

• Secure AI Sandboxes with real-world tools

• Virtual computers for AI agents

• LLM-agnostic compatibility (OpenAI, Anthropic, Mistral, Llama, etc.)

• Fast sandbox startup times (<200ms)

• Full isolation powered by Firecracker microVMs

• Up to 24-hour sandbox sessions

• Support for custom package installation

• Enables deep research and data analysis

• Facilitates secure code execution

• Supports reinforcement learning workflows

• Enterprise-grade security and isolation

• BYOC, on-prem, or self-hosted deployment options

How to use E2B Enterprise AI Agent Cloud?

1. 1

   Configure: Set up your AI agent and integrate E2B sandboxes.

2. 2

   Deploy: Launch secure virtual computers for your agents.

3. 3

   Equip: Provide agents with necessary real-world tools and access.

4. 4

   Execute: Enable agents to perform complex tasks like research and coding.

5. 5

   Scale: Leverage E2B's infrastructure for enterprise-grade agentic workflows.

E2B Enterprise AI Agent Cloud's Use Cases

• Deep Research Agents
• AI Data Analysis
• Coding Agents
• Vibe Coding
• Reinforcement Learning
• Virtual Computers for LLMs
• Agentic Workflows
• Code Testing

FAQ from E2B Enterprise AI Agent Cloud

• What is E2B and what does it do?

  E2B is an Enterprise AI Agent Cloud that provides secure virtual computers with real-world tools for AI agents, enabling them to perform advanced tasks like research, data analysis, and coding.

• Who uses E2B?

  E2B is used by 94% of Fortune 100 companies and hypergrowth AI startups for their agentic workflows.

• What kind of tools can AI agents access with E2B?

  AI agents can access real-world tools within secure sandboxes, including code interpreters, browsers, file systems, and terminals, allowing them to execute code, analyze data, and interact with software.

• Is E2B secure?

  Yes, E2B sandboxes are powered by Firecracker microVMs, ensuring full isolation and enterprise-grade security for untrusted workflows.

• Can E2B be used with any LLM?

  Yes, E2B is LLM-agnostic and works with various models including OpenAI, Anthropic, Mistral, Llama, and custom models.

• How fast are E2B sandboxes?

  E2B sandboxes start in under 200 ms, offering near-instantaneous access without cold starts.

• What are the main use cases for E2B?

  Key use cases include deep research agents, AI data analysis and visualization, coding agents, reinforcement learning, and providing virtual computers for LLMs.

• Can I install custom packages in E2B sandboxes?

  Yes, you can install any package or system library within the E2B sandbox to completely customize it for your specific use case.

• Does E2B support on-premise or self-hosted deployments?

  Yes, E2B supports BYOC, on-prem, or self-hosted deployments within your AWS, GCP, or Azure account, or your VPC.

• What is the maximum session duration for an E2B sandbox?

  Each E2B sandbox can run for up to 24 hours.