E2B

E2B

Unclaimed verified 16 oct 2026
[  score · 46  ]

Secure, open-source cloud environments for AI agents to run code and use real-world tools.

Pricing: Freemium - Free Hobby tier with usage charges; Pro starts at $150/month plus usage Company: FoundryLabs, Inc. Founded: 2023 Last verified: 2026-10-16
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TL;DR

E2B provides isolated, disposable cloud sandboxes where AI agents can execute code, use shells and files, install packages, access browsers, and run MCP tools. It is designed for developers building coding agents, data-analysis assistants, research agents, computer-use systems, and evaluation workloads; its key differentiator is Firecracker-based microVM isolation combined with SDKs, custom templates, managed cloud, and self-hosting options.

What Users Actually Pay

No user-reported pricing yet.

Our Take

E2B occupies a specialized position between general-purpose cloud infrastructure and agent frameworks. It does not provide the model or complete orchestration layer; instead, it supplies the execution environment beneath an agent. Its APIs and SDKs abstract sandbox provisioning, lifecycle management, files, processes, terminals, templates, networking, and computer-use capabilities.

Pros

  • + Fast sandbox provisioning and relatively straightforward SDK integration, according to Reddit discussions.
  • + Strong isolation model for executing untrusted or agent-generated code, with Firecracker-based microVMs rather than ordinary containers.
  • + Broad agent-facing functionality, including shell commands, file operations, package installation, browser or desktop workflows, templates, and MCP support.
  • + Flexible deployment options, including managed cloud, BYOC, private-cloud, and self-hosted runtime options.
  • + Good fit for coding agents, research agents, evaluation workloads, and other systems that require disposable Linux environments.

Cons

  • - Usage-based pricing can be difficult to predict, particularly when agents enter loops or spend extended periods debugging.
  • - Pro pricing begins at $150 per month before usage charges, which may be expensive for small teams or prototypes.
  • - Community reports mention challenges with long-running sessions, including anecdotal timeout complaints; this is not established as a universal limitation.
  • - Connecting isolated sandboxes to private databases and internal services can require substantial networking and credential-management work.
  • - Although the runtime is open source, operating Firecracker, networking, storage, orchestration, and control-plane components remains operationally complex.

Agent Readiness

56/100

E2B is highly suitable for autonomous agents that need to execute arbitrary or untrusted code in disposable environments. It offers public REST APIs, OpenAPI documentation, Python and JavaScript/TypeScript SDKs, custom templates, terminal and filesystem access, computer-use capabilities, MCP support, managed cloud, and self-hosting options. The developer experience is strong for code-centric agent applications, although traditional automation integrations such as Zapier, Make, and n8n were not found, and private-network connectivity and self-hosting can require significant platform engineering.

API Surface100
Public APIRESTSDKFree TieropenApi
Protocol Support0
SDK Availability70
npm: e2b (official)npm: @e2b/code-interpreter (official)npm: @e2b/cli (official)npm: @e2b/desktop (official)npm: @paperclipai/plugin-e2b (official)npm: @mastra/e2b (official)npm: @deepseek-ai/dsh-fs-e2b (official)npm: @deepseek-ai/dsh-subprocess-e2b (official)npm: @assemblyline-agents/e2b (official)npm: @unieai/uad-fs-e2b (official)pypi: e2b (official)
Integration Ecosystem0
Python SDKJavaScript/TypeScript SDKOpenAIAnthropic/ClaudeMistralLlamaLangChainLlamaIndexMCPDocker MCP catalogTerraformBYOCSelf-hosting
Developer Experience100
Docs: goodSandboxVersioningChangelogStatus Page

Last checked Sep 17, 2026

[ features ]

Accessibility & Interfaces

Features related to how users access and interact with the AI coding tools across devices and input methods.

Supports Web Interface

Availability of a web-based UI for accessing sessions from any browser.

[  yes  ]
CLI Interface

Terminal-based access for power users preferring command-line workflows.

[  yes  ]

AI Model & Language Support

Compatibility with AI models and programming languages.

Primary LLM

Main large language model(s) supported.

[  OpenAI GPT  ] [  Claude Sonnet  ] [  Local Models  ]
Multi-LLM Support

Ability to use multiple or any LLM providers.

[  yes  ]
Programming Languages Supported

Number and types of languages handled.

[  Python  ] [  JavaScript  ] [  Ruby  ] [  C++  ] [  100+ Languages  ]

Session & Workflow Management

Tools for managing coding sessions, parallelism, and integrations.

Parallel Sessions

Ability to run and control multiple AI coding sessions simultaneously.

[  yes  ]
Context Persistence

Maintains full session context across interruptions or device switches.

[  yes  ]
Git Integration

Deep integration with Git repos for editing, commits, and repo mapping.

[  yes  ]
Sandbox Environment

Runs agents in isolated sandboxes with tools and filesystem access.

[  yes  ]

Pricing & Licensing

Cost structure, open-source status, and usage limits.

Pricing Model

Primary billing structure.

Pay-per-Use
Self-Hostable

Can run entirely on user hardware without external services.

[  yes  ]

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