E2B — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by e2b-dev · Agent Tool · ★ 13.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About E2B

-- What is E2B? E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK. [!NOTE] This repository contains the core E2B SDK that's used in our main [E2B Code Interpreter SDK](https://github.com/e2b-dev/code-i

agentaiai-agentai-agentscode-interpretercopilotdevelopmentdevtoolsgptgpt-4

Quick Facts

Stars13,920
Forks1,043
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score66.1636540841016/100
Open Issues73
Last Updated2026-09-22
Created2023-03-04
Platformspython
Est. Tokens~14k

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Frequently Asked Questions

What is E2B?

E2B is Open-source, secure environment with real-world tools for enterprise-grade agents.. It is categorized as a Agent Tool with 13.9k GitHub stars.

What programming language is E2B written in?

E2B is primarily written in Python. It covers topics such as agent, ai, ai-agent.

How do I install or use E2B?

You can find installation instructions and usage details in the E2B GitHub repository at github.com/e2b-dev/E2B. The project has 13.9k stars and 1043 forks, indicating an active community.

What license does E2B use?

E2B is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to E2B?

The top alternatives to E2B on Agent Skills Hub include composio, zcf, cascadeflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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