explaingit

e2b-dev/e2b

12,171PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

E2B provides cloud sandboxes that let AI agents safely run code in isolated temporary environments, a few lines of Python or JavaScript SDK code spin up a sandbox, execute a script, and return the output.

Mindmap

mindmap
  root((E2B))
    What it does
      Safe code execution
      Isolated sandboxes
      Cloud runtime
    SDK
      Python
      JavaScript
      Code Interpreter
    Self-hosting
      Terraform
      AWS or GCP
    Audience
      AI developers
      Agent builders
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Things people build with this

USE CASE 1

Give your AI coding assistant a safe cloud environment to run and test generated code without any risk to your local machine.

USE CASE 2

Build an AI agent that executes Python scripts in isolated E2B sandboxes and reads back structured results using the Code Interpreter extension.

USE CASE 3

Self-host E2B sandbox infrastructure on AWS or GCP using Terraform for workloads that require data to stay in your own cloud account.

Tech stack

PythonJavaScriptTerraform

Getting it running

Difficulty · moderate Time to first run · 30min

Requires a free E2B API key from their website, self-hosting requires AWS or GCP plus Terraform, Azure is not yet supported.

No license information is provided in the explanation.

In plain English

E2B is an open-source infrastructure project that lets AI systems run code safely in the cloud. The core problem it solves is that AI models, like coding assistants or autonomous agents, often need to actually execute code to do useful work, but letting an AI run code directly on a computer is risky. E2B provides isolated sandbox environments, which are temporary, contained virtual computers that spin up in the cloud, run whatever the AI asks, and then shut down cleanly without touching anything else. Developers use E2B through a software library available in Python or JavaScript. The basic workflow is: create a sandbox, run a command inside it, read back the output, and close it. The whole sequence takes a few lines of code. There is also a separate Code Interpreter extension for use cases where you want to run Python or other code and get structured results back, not just raw text output. To get started, you install the library, sign up on the E2B website to get an API key, and set that key as an environment variable. The API key authenticates your account so the service knows which sandboxes to bill to you. The sandboxes run on E2B's own cloud infrastructure, so you do not need to set up any servers yourself. Pricing and account management are handled through the E2B dashboard. For teams that want to host the sandbox infrastructure on their own servers, E2B also publishes a self-hosting guide. It uses Terraform, a tool for setting up cloud resources automatically, and supports both Amazon Web Services and Google Cloud. Azure and general Linux machines are listed as not yet supported. The project includes a cookbook repository with example code showing how to connect E2B sandboxes to various AI models and agent frameworks.

Copy-paste prompts

Prompt 1
I want my Claude-based coding assistant to safely execute Python code. Show me the E2B Python SDK setup and minimal code to create a sandbox, run a script, and read the output.
Prompt 2
I'm building an AI agent that runs user-submitted code. Walk me through using E2B's Code Interpreter extension to get structured results back from a Python execution, not just raw text.
Prompt 3
Help me deploy a self-hosted E2B sandbox environment on AWS using Terraform, what are the prerequisites, the key steps, and what Azure limitations should I know about?
Prompt 4
Show me how to connect E2B sandboxes to a LangChain agent so the agent can call code execution as a tool and use the result in its next reasoning step.
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