E2B

3.2 (1 reviews)

E2B provides secure, isolated cloud environments for AI agents to execute code, offering rapid sandbox startup and multi-language support.

Best for AI developers needing secure code execution environments, weaker for those requiring persistent state across sessions.

Ai Agents Developer Tools Cloud Platform Open-Source Api Llm Coding Automation

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use E2B?

Typical users

Developers and AI engineers building AI agents, coding assistants, or data analysis tools that require secure, on-demand code execution.

Maturity fit

beginner to advanced

Choose this if…

You need to run AI-generated code safely without risking your infrastructure.
You require fast sandbox startup times for real-time AI interactions.
You need support for Python and JavaScript/TypeScript.
You want to integrate code execution into your AI applications via SDKs.

Skip this if…

You need persistent state and file systems that remain between sandbox sessions.
Your primary need is a full-fledged development environment with long-term persistence.
You require GPU acceleration for your workloads.
You need to run code in languages other than Python or JavaScript/TypeScript.

About E2B

E2B is an open-source cloud infrastructure platform designed to provide secure, isolated environments for AI agents to execute code. It aims to simplify the integration of code interpretation and execution capabilities into AI applications, enabling developers to build tools like AI coding assistants and data analysis platforms.

Official profiles

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What it actually does

E2B allows AI agents and applications to run code within secure, isolated Linux microVM sandboxes. It provides SDKs for developers to programmatically create, manage, and interact with these sandboxes, capturing execution results and returning them to the application.

What makes it different

E2B differentiates itself with its rapid sandbox startup time (around 150ms) using Firecracker microVMs, offering hardware-level isolation. Its focus is on session-scoped execution for AI agents, providing a clean environment for each task.

Secure cloud sandboxes Code Interpreter SDK Multi-language support (Python, JavaScript/TypeScript) Long-running cloud processes (up to 24 hours) Customizable execution environments File system operations (upload/download) Developer-friendly SDKs Self-hosting and on-premises deployment options

Ratings across the web

3.2 (1 reviews)

Trustpilot 1 reviews

3.2/5

Ratings aggregated from independent review platforms.

Key Features

Lightning-Fast Sandbox Startup

Sandboxes spin up in approximately 150 milliseconds, enabling real-time AI interactions.

Enterprise-Grade Security

Utilizes Firecracker microVMs for hardware-level isolation, ensuring code execution is contained.

Multi-Language Support

Supports Python, JavaScript, TypeScript, and others, allowing flexibility for developers.

Code Interpreter SDK

Enables seamless integration of code interpreting functionalities into AI applications.

Long-Running Sessions

Sandboxes can run for up to 24 hours, suitable for complex tasks.

Customizable Environments

Allows for custom templates to define sandbox configurations.

Developer-Friendly SDKs

Provides Python and JavaScript/TypeScript SDKs for easy integration.

Self-Hosting Option

Offers deployment within your own cloud or on-premises infrastructure for data sovereignty.

Pricing

Hobby

Free

$100 one-time free credits
Up to 1-hour sandbox session length
Up to 20 concurrently running sandboxes
Community support

Popular

Pro

$150 month

$100 one-time free credits
Up to 24-hour sandbox session length
Up to 100 concurrent sandboxes (up to 1,100+ with add-ons)
Higher API rate limits
Priority support

Enterprise

Custom

Custom session length
Custom concurrency
BYOC (Bring Your Own Cloud)
On-premises deployment
Dedicated support and SLA

Pricing checked 6 months ago

Pricing guidance

Best plan for most users: The Pro plan is likely the best fit for most growing teams and applications, offering a significant increase in session length and concurrency compared to the Hobby tier, with more robust support.

Free plan enough? No, the Hobby tier's limitations on session length (1 hour) and concurrency (20 sandboxes) make it unsuitable for production applications or significant development work. The $100 in free credits are a good way to experiment.

Upgrade when:

When you need sandboxes to run for longer than 1 hour.
When you exceed 20 concurrent sandboxes.
When you require higher API rate limits or priority support.
When you need to deploy E2B within your own cloud infrastructure (BYOC).

Watch out for:

Session length limits (1 hour on Hobby, 24 hours on Pro).
Concurrency limits (20 on Hobby, 100 on Pro).
API rate limits vary by plan.
Free credits are one-time and usage-based.

Usage-based pricing on top of tiered plans, with a free tier for experimentation and enterprise options for custom needs.

Pros & Cons

Strengths

Rapid Sandbox Initialization
Sandboxes start in approximately 150 milliseconds, significantly reducing wait times for AI-driven code execution and enabling real-time interactions.
Robust Security Model
Hardware-level isolation via Firecracker microVMs ensures that code execution is contained and does not pose a risk to the host system or other users.
Developer-Focused SDKs
Offers well-documented Python and JavaScript/TypeScript SDKs that simplify the integration of secure code execution into AI applications.
LLM Agnostic
Compatible with various large language models (LLMs) like OpenAI, Claude, Llama, and Mistral, providing flexibility in AI development.

Weaknesses

Limited Persistence
Sandboxes are session-scoped and typically torn down after use, making it less suitable for applications requiring persistent state across multiple sessions.
Language Limitations
Primarily supports Python and JavaScript/TypeScript, which may be a limitation for projects requiring other programming languages.
No GPU Support
Currently does not offer GPU acceleration, which can be a bottleneck for computationally intensive AI workloads.
Steep Learning Curve for Self-Hosting
While self-hosting is an option, it requires significant infrastructure management and orchestration expertise (e.g., Terraform, Nomad).

Affects: Teams opting for self-hosted deployments

Real User Sentiment

Users generally praise E2B for its speed, security, and ease of integration for AI-driven code execution. However, some find its session-based nature limiting for persistent workflows.

Users tend to like

Fast sandbox startup times
Secure, isolated environments
Ease of integration via SDKs
LLM agnosticism
Open-source nature

Users commonly complain about

Limited persistence for stateful applications
Session length limitations
Primarily Python/JavaScript support
Self-hosting complexity

Recurring tradeoffs

Session-scoped execution vs. persistent environments
Ease of use for basic tasks vs. complexity for advanced self-hosting

Happiest users

Developers building AI agents, coding assistants, and data analysis tools that require ephemeral, secure code execution environments.

Often frustrated

Users who need long-running, stateful environments or require support for a wider range of programming languages.

Use Cases

AI Coding Assistants

Enabling AI models to write, test, and execute code safely.

Data Analysis & Visualization

Running Python scripts (e.g., pandas, matplotlib) to process and visualize datasets.

Autonomous AI Agents

Providing virtual computers for agents to perform complex, multi-step tasks.

CI/CD Workflows

Executing tests and validation steps in isolated environments.

Interactive AI Playgrounds

Creating environments for users to experiment with AI-generated code.

Web Scraping & Browser Automation

Running tools like Playwright within sandboxes.

Model Evaluation

Facilitating reinforcement learning with multiple sandboxes.

Frequently Asked Questions

What is E2B and what does it do?

E2B (Execute to Build) is an open-source cloud infrastructure platform that provides secure, isolated environments (sandboxes) for AI agents and applications to execute code. It allows developers to integrate code interpretation and execution capabilities into their AI tools, such as coding assistants, data analyzers, and autonomous agents. E2B uses Firecracker microVMs for hardware-level isolation and offers SDKs for Python and JavaScript/TypeScript to manage these sandboxes.

How does E2B pricing work?

E2B uses a combination of tiered plans (Hobby, Pro, Enterprise) and usage-based pricing. The Hobby plan is free with $100 in one-time credits and has limitations on session length and concurrency. The Pro plan costs $150/month and offers longer sessions, more concurrent sandboxes, and priority support, with additional usage costs. Enterprise plans are custom-priced. You pay per second for compute resources while a sandbox is actively running. Auto-pausing can help optimize costs.

What are the main limitations of E2B?

The primary limitations of E2B include its session-scoped nature, meaning sandboxes are typically ephemeral and do not retain state between runs, making it less ideal for persistent development environments. It also primarily supports Python and JavaScript/TypeScript, with limited support for other languages. Currently, E2B does not offer GPU acceleration, which can be a constraint for heavy AI workloads. Self-hosting, while possible, requires significant technical expertise.

How does E2B compare to competitors like Modal or Northflank?

E2B focuses on rapid, session-scoped Linux microVM sandboxes for AI agent code execution, emphasizing speed and isolation. Modal offers a Python-first API with snapshotting for branching agent runs and uses gVisor for isolation. Northflank is a broader developer platform supporting microVM sandboxing with more flexibility for long-running workloads and persistence, and can run in your own cloud (BYOC). E2B's strength is its speed and simplicity for ephemeral AI tasks, while Northflank offers more production-ready, persistent options, and Modal excels with Python-centric workflows and snapshotting.

Can I run E2B on my own infrastructure (self-host)?

Yes, E2B offers self-hosting capabilities using Terraform. However, this approach requires significant expertise in infrastructure management, including orchestration tools like Nomad, and managing cloud providers (AWS, GCP, Azure). For teams seeking managed orchestration within their own cloud, E2B also offers a Bring Your Own Cloud (BYOC) option for enterprise customers.

What programming languages does E2B support?

E2B primarily supports Python and JavaScript/TypeScript for its SDKs and code execution within sandboxes. While the underlying sandbox is a Linux environment, the direct integration and SDK support are focused on these two languages. For other languages, you would need to ensure they are installed within a custom sandbox template.

How long can a sandbox session run in E2B?

Sandbox session lengths vary by plan. The Hobby plan limits sessions to 1 hour, while the Pro plan allows sessions up to 24 hours. Enterprise plans offer custom session lengths. Sandboxes can be paused to preserve state and resume later, stopping billing while idle.

Does E2B offer GPU support?

No, E2B does not currently offer GPU acceleration for its sandboxes. This can be a limitation for computationally intensive AI workloads that require GPU resources for training or inference.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2023

Stage

Series a

Total Raised

$35M

Latest Round

Series A (Jul 2025)

Notable Investors

Insight Partners Decibel Partners Kaya VC Sunflower Capital

E2B has raised a total of $35 million across three rounds since its founding in 2023. Its most recent funding was a $21 million Series A led by Insight Partners in July 2025, providing significant capital to scale its secure cloud infrastructure for AI agents. This financial backing from top-tier investors signals strong market confidence and ensures the company has ample resources for product development and enterprise support.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 0
Global rank: —
Snapshot: May 2026
Traffic trend: Rising