E2B Review 2026

Secure cloud sandboxes that let AI agents run untrusted code, install packages, and execute long-running tasks in isolated micro-VMs.

E2B (Execute to Build) provides hosted, secure sandboxes designed specifically for AI agents and LLM-generated code. Each sandbox is a Firecracker micro-VM with its own filesystem, networking, and process tree, spun up in roughly 150 milliseconds. Agents can use the sandbox to run Python, JavaScript, or shell commands; install arbitrary packages; persist files; render plots; and stream stdout back to the calling model. The platform exposes both a Code Interpreter SDK (a drop-in equivalent to ChatGPT's tool with Jupyter kernel semantics) and a more general Desktop sandbox that ships with a virtual display for GUI tasks. Developers can build custom sandbox templates with their own dependencies, then ship them as reusable environments for agent fleets. Because each session is fully isolated and disposable, E2B is the default execution layer behind production agent products from Perplexity, Hugging Face, and various open-source agent frameworks. The company shipped a popular open-source release of Firebase-style logs/replays for agent runs, and the Python and TypeScript SDKs are heavily used in research codebases. Sandboxes can persist for up to 24 hours on paid plans and integrate cleanly with LangChain, LlamaIndex, and CrewAI tool definitions.