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E2B is an [open-source](https://github.com/e2b-dev) infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud.
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To start and control sandboxes, use our [Python SDK](https://pypi.org/project/e2b/) or [JavaScript SDK](https://www.npmjs.com/package/e2b).
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Some of the typical use cases for E2B are AI data analysis or visualization, running AI-generated code of various languages, playground for coding agents, environment for codegen evals, or running full AI-generated apps like in [Fragments](https://github.com/e2b-dev/fragments).
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E2B provides isolated sandboxes that let agents safely execute code, process data, and run tools. Our SDKs make it easy to start and manage these environments.
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## E2B Building Blocks
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A quick overview of the core building blocks you'll interact with when using E2B.
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-[**Sandbox**](/docs/sandbox) — A fast, secure Linux VM created on demand for your agent
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-[**Template**](/docs/template/quickstart) — Defines what environment a sandbox starts with
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## How to use the docs
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The documentation is split into three main sections:
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-[**Quickstart**](#quickstart) — Step-by-step tutorials that walk you through spinning up your first E2B sandboxes.
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-[**Examples**](#examples) — In-depth tutorials focused on specific use cases. Pick the topics that match what you're building.
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### Under the hood
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The E2B Sandbox is a small isolated VM the can be started very quickly (~150ms). You can think of it as a small computer for the AI model. You can run many sandboxes at once. Typically, you run separate sandbox for each LLM, user, or AI agent session in your app.
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For example, if you were building an AI data analysis chatbot, you would start the sandbox for every user session.
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-[**API/SDK Reference**](https://e2b.dev/docs/sdk-reference) — A complete technical reference for every feature, component, and configuration option.
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