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IN THE FIELD GUIDE

e2b

e2b.dev

E2B is a cloud platform providing isolated microVMs for AI agents to run code, browse, and use tools with full machine capabilities. It supports running agents in E2B's cloud or on AWS/GCP accounts, offering an API and SDK for managing agent lifecycles and resources securely.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Sep 14, 2026

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A good fit for

  • AI labs, startups, and enterprises needing isolated, scalable environments for AI agents with compliance and security requirements.

Know the limitations

  • Template builds have a maximum duration of 1 hour and resource limits on vCPUs, memory, and disk size depending on the plan.

What you can do

  • Running agentic simulations and reinforcement learning with thousands of machines for grading and clearing tasks rapidly.

Features

  • Each agent session runs in an isolated Linux microVM with APIs for execution, network control, storage, observability, secrets management, and lifecycle operations like pause and fork.
  • Supports running code in Python or JavaScript with the code interpreter feature returning charts, tables, and images.
  • Provides a desktop environment with screen, mouse, keyboard, and live stream for agents that use desktop applications.

Integrations

  • Supports integration with OpenAI Agents SDK, Claude Code, Codex, and any custom agent harness.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
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What changed

1 recorded change · latest 9/14/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, export formats, features, integrations, limitations, sources, summary, use cases

    See recorded changes
    bestFor

    Before: ["AI labs, fastest AI startups, and enterprises needing isolated, scalable compute environments for AI agents.","Organizations requiring secure compute environments for sensitive data, with options to run in their own cloud accounts."]

    After: ["AI labs, startups, and enterprises needing isolated, scalable environments for AI agents with compliance and security requirements."]

    exportFormats

    Before: ["Provides metrics, logs, and signed webhooks for observability and monitoring."]

    After: []

    features

    Before: ["Each agent session runs in an isolated Linux microVM with APIs for execution, network control, storage, observability, secrets management, and lifecycle operations like pause and fork.","Supports running any AI agent with any harness, including OpenAI Agents SDK, Claude Code, Codex, or custom harnesses.","Includes a secrets vault where keys can be used by agents but never read directly.","Offers a desktop environment with screen, mouse, keyboard, and live streaming for agents that use desktop applications."]

    After: ["Each agent session runs in an isolated Linux microVM with APIs for execution, network control, storage, observability, secrets management, and lifecycle operations like pause and fork.","Supports running code in Python or JavaScript with the code interpreter feature returning charts, tables, and images.","Provides a desktop environment with screen, mouse, keyboard, and live stream for agents that use desktop applications."]

    integrations

    Before: []

    After: ["Supports integration with OpenAI Agents SDK, Claude Code, Codex, and any custom agent harness."]

    limitations

    Before: []

    After: ["Template builds have a maximum duration of 1 hour and resource limits on vCPUs, memory, and disk size depending on the plan."]

    sources

    Before: [{"url":"https://e2b.dev/","label":"E2B | The Enterprise AI Agent Cloud"}]

    After: [{"url":"https://e2b.dev/","label":"E2B | The Enterprise AI Agent Cloud"},{"url":"https://docs.e2b.dev/template/quickstart","label":"Quickstart - E2B Docs"}]

    summary

    Before: "E2B is a cloud platform providing isolated microVMs for AI agents to run code, browse, and use tools with full machine environments. It supports running agents in E2B's cloud or within a customer's AWS or GCP account, offering an API and SDK for management and deployment."

    After: "E2B is a cloud platform providing isolated microVMs for AI agents to run code, browse, and use tools with full machine capabilities. It supports running agents in E2B's cloud or on AWS/GCP accounts, offering an API and SDK for managing agent lifecycles and resources securely."

    useCases

    Before: ["Running agentic simulations and reinforcement learning with thousands of machines for grading and clearing tasks.","Running agent evaluations and benchmarks by grading outputs in parallel and scoring agents side by side."]

    After: ["Running agentic simulations and reinforcement learning with thousands of machines for grading and clearing tasks rapidly."]

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Sources & research

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