E2B provides secure cloud sandboxes where AI agents and applications can safely execute code, process files, and run tools.

E2B is best for developers building coding agents, research agents, data-analysis products, and AI workflows that require code execution.

Is E2B secure for agent code execution?

E2B is designed around isolated sandbox environments, but teams still need to define permissions, resource limits, and application-level security controls.

Can E2B run Python code?

Yes. Sandboxes can provide environments where agents execute Python and other workloads with configurable resources.

Does E2B support long-running tasks?

Yes. E2B supports sandbox sessions and workloads designed for agent tasks that need more than a short request-response cycle.

What should teams watch for?

Monitor compute usage, sandbox lifetime, concurrency, package installation, data access, and isolation requirements as workloads scale.

E2B

Secure cloud sandboxes for AI agents, code execution, and data analysis.

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What is E2B?

TL;DR

E2B provides secure cloud sandboxes for AI agents and applications that need to execute code, analyze data, process files, and run tools inside isolated environments without exposing core systems or infrastructure.

Run AI agents in secure cloud sandboxes
Execute code and long-running agent tasks safely
Control CPU, RAM, storage, and concurrency

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About

E2B is a cloud sandbox platform for AI agents and applications that need to safely run code, execute tools, and work inside isolated environments. It gives developers secure virtual computers that agents can use for code execution, data analysis, file processing, and automation workflows without exposing the main application environment. The platform is especially useful for SaaS founders and AI builders creating coding agents, research agents, spreadsheet assistants, data analysis products, and tools that need to execute untrusted or dynamic code. Instead of building sandbox infrastructure from scratch, teams can use E2B to spin up isolated environments with configurable resources and concurrency. E2B supports longer-running sandbox sessions, concurrent sandboxes, usage-based compute, and paid upgrades for higher limits. This makes it practical for both prototypes and production agent workloads where security, reliability, and scalability matter. For FutureStack, E2B is a strong developer infrastructure listing because code execution is becoming a core capability for AI agents. It is best for developers, technical founders, and SaaS teams building agents that need safe execution environments instead of simple chat responses.

Use Cases

Agent Code Execution

Let AI agents safely run generated or user-provided code inside isolated cloud environments.

Data Analysis

Give agents sandboxed environments for Python, spreadsheets, files, and computation-heavy analysis tasks.

Coding Agents

Provide coding agents with temporary computers where they can install packages, run tests, and execute projects.

Secure Automation

Run dynamic tool workflows without exposing the host application or primary infrastructure to untrusted code.

Key Features

Run AI agents in secure cloud sandboxes
Execute code and long-running agent tasks safely
Control CPU, RAM, storage, and concurrency
Used for data analysis, coding agents, and workflows

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