E2B is an open-source cloud platform that gives AI agents secure, isolated sandbox environments to execute code. Each sandbox is a lightweight Firecracker microVM that spins up in under 200 milliseconds. You get Python and JavaScript SDKs to integrate sandboxed code execution into your AI apps. E2B works with any LLM provider including OpenAI, Anthropic, and open-source models, and plugs into frameworks like LangChain and LlamaIndex. Used by 88% of Fortune 100 companies, it handles everything from data analysis to autonomous multi-step agent workflows.
E2B sandboxes support any programming language you can install in a Linux environment. The Code Interpreter SDK has built-in support for Python and JavaScript/TypeScript, but you can create custom templates with any language runtime, including Go, Rust, Java, Ruby, and more.
E2B uses usage‑based pricing — you pay by the second for compute while sandboxes run, and you get a one‑time $100 free credit on signup. The Hobby tier is free with limits (e.g., 1‑hour session max), the Pro plan is about $150/month with longer sessions and higher concurrency, and Enterprise plans have custom pricing.
Yes. E2B is LLM-agnostic and works with OpenAI, Anthropic Claude, Mistral, Llama, and any other language model. It also integrates natively with AI frameworks like LangChain and LlamaIndex.
Sandboxes boot in under 200 milliseconds. This near-instant startup makes E2B practical for real-time AI applications where users expect quick responses.
Yes. E2B's core infrastructure, SDKs, and CLI are all open source and available on GitHub. You can inspect the code, contribute, and even self-host, though self-hosting is experimentally supported.
E2B Desktop is a sandbox variant that provides a full graphical desktop environment. You can connect it to any LLM to build AI agents that interact with GUI applications, browse the web, and perform tasks that require visual interaction, similar to how a human uses a computer.
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