E2B安全的云沙箱，运行 AI 生成代码与自主代理

4.5 (4)

审阅者 Daniel Nikulshyn·更新 2026年5月

Developer Tools Cloud Sandbox AI Agents Code Execution Open Source Python SDK JavaScript SDK Infrastructure

概览

E2B 提供专为执行大型语言模型（LLM）和 AI 代理生成的代码而设计的隔离云环境。每个沙箱启动迅速，为开发者提供安全、短暂的运行时，使不受信任或实验性的代码能够运行而不危及宿主系统。平台面向构建代理式应用、代码解释器、数据分析助手以及需要大规模执行任意代码的开发者工具的团队。Python 与 JavaScript 的 SDK 让将沙箱集成到现有 AI 工作流变得简单，同时可定制的模板帮助团队预先配置依赖和工具。 E2B 核心为开源，提供面向生产的托管云基础设施，既适合原型设计，也适用于大规模部署。

主要功能

隔离的云沙箱环境
支持 Python 与 JavaScript 的 SDK
可自定义的环境模板
文件系统和进程访问
支持长时间会话
面向 AI 代理和代码解释器设计

价格

模型: Free
分类: 模型服务
评分: 4.5 / 5 (4)

使用场景

安全运行 LLM 生成的代码

在隔离的云沙箱中执行大型语言模型生成的代码，保护宿主系统免受不受信任或实验性输出的影响。

为自主 AI 代理提供动力

为代理式应用提供安全的运行时，具备文件系统和进程访问权限，使其能够在长时间会话中执行多步骤任务。

构建代码解释器功能

通过 Python 或 JavaScript SDK 集成 E2B，为产品添加类似 ChatGPT 的代码解释器，实现数据分析和计算功能。

预配置开发环境

使用自定义模板快速创建带有特定依赖和工具的沙箱，实现 AI 驱动开发工具的运行时标准化。

优点 & 缺点

优点

强隔离，安全运行不受信任的 AI 代码
沙箱启动速度快
提供 Python 与 JavaScript SDK
开源并提供托管云选项
可自定义的环境模板

缺点

需要开发者具备集成知识
基于使用量的定价在高负载下可能成本上升
在 AI/代理以外的场景价值有限

对决战绩

在万神殿中参与了 4 对决。

第1

第2

第3

Last 4 battles

评测

4.5

4 个评分的平均值。

登录以留下评测。

Fatima Zahra

Apr 8, 2026

Solid for our team

We rolled this out across the team last quarter and strong isolation for running untrusted AI code. Custom environment templates fits neatly into how we already work, and designed for AI agents and code interpreters removed a step we used to do by hand. but it has held up under daily use.

Elena Rossi

Nov 9, 2025

Use it every day

Honestly didn't expect to like it this much. Isolated cloud sandbox environments is exactly what I needed, and strong isolation for running untrusted AI code. I do wish limited value outside AI/agent use cases, but I reach for it almost every day now and it just clicks.

Jamal Carter

Jul 30, 2025

Solid for our team

We rolled this out across the team last quarter and open source with managed cloud option. Designed for AI agents and code interpreters fits neatly into how we already work, and designed for AI agents and code interpreters removed a step we used to do by hand. Limited value outside AI/agent use cases, which is the main caveat, but it has held up under daily use.

Diego Fernández

Jun 15, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: file system and process access and fast sandbox startup times. Where it lags: limited value outside AI/agent use cases. On balance the feature set — especially custom environment templates — justifies the 4 stars for our use case.

问答

What are the pros and cons of E2B?

Pros include strong isolation for running untrusted AI code, fast sandbox startup times, and customizable environment templates. Cons include requiring developer knowledge to integrate and usage-based pricing that can scale with heavy workloads.

Asked by Wanjiru Kamau · Jan 26, 2026

Is E2B open source?

Yes, E2B is open source at its core, with managed cloud infrastructure available for production use.

Asked by Sofia Lindqvist · Jan 24, 2026

How do I integrate E2B?

E2B provides SDKs in Python and JavaScript, making it straightforward to integrate sandboxes into existing AI workflows. Customizable templates also let teams preconfigure dependencies and tooling.

Asked by Ulrik Madsen · Dec 29, 2025

What is E2B used for?

E2B is used for running AI-generated code and autonomous agents in secure cloud sandboxes. It is aimed at teams building agentic applications, code interpreters, and data analysis assistants.

Asked by Dmitri Volkov · Dec 22, 2025