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Pricing sourced from E2B · Last verified March 2026
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View Full Features →E2B provides secure cloud sandboxes for executing AI-generated code. It is most commonly used by developers building AI agents, coding copilots, and data-analysis assistants who need a safe, isolated environment to run untrusted code produced by LLMs without risking their own infrastructure.
E2B uses Firecracker microVMs rather than containers, which provides hardware-level isolation with a dedicated kernel per sandbox. This is significantly more secure than container isolation (shared host kernel) when running untrusted LLM-generated code, while still booting in under a second.
E2B offers native SDK integrations and documented patterns for LangChain, LlamaIndex, OpenAI Assistants API, Anthropic Claude tool use, and the Vercel AI SDK. The Python and TypeScript SDKs make it straightforward to plug sandbox execution into any custom agent loop.
Yes. E2B Desktop is a sandbox variant that provides a full Linux desktop environment accessible via VNC, allowing computer-use agents to control a browser, IDE, or arbitrary GUI applications. This is the same primitive used by many production browser-automation and computer-use agents.
E2B has a free Hobby tier with $100 of compute credit to start. The Pro plan is $150/month and includes higher concurrency, longer sandbox lifetimes, and team features, plus per-second compute usage charges. Enterprise pricing covers self-hosted/on-prem deployments, SOC 2, and custom SLAs.