E2B Review 2026

Open-source secure code-execution sandbox for AI agents — spin up a fresh Linux VM in under 200ms, hand your agent a Python/Node/Bash environment, and get back files, plots, and results without ever exposing your infrastructure.

E2B is the code-interpreter backbone for a large fraction of modern AI agents. Each sandbox is a small Firecracker microVM with its own filesystem, network, and process table, spun up in roughly 150-200 milliseconds; you install packages, run code, upload files, and stream stdout/stderr through simple Python and JavaScript SDKs. It's the same primitive that powers ChatGPT-style code interpreter but under your control: agent runs untrusted code inside E2B, you get isolation and reproducibility. E2B ships a Desktop sandbox that includes a full Xfce desktop for computer-use agents (Anthropic's Computer Use, OpenAI operator-style demos), Custom Templates (Dockerfile-based sandbox images), long-running background processes, and persistent storage between runs. Pricing has a free Hobby tier (100 hours/mo compute, small vCPU/memory quotas), Pro ($150/mo credits pool), and Enterprise plans with dedicated capacity, SOC 2, and on-prem options. E2B is open source under Apache 2.0 and can be self-hosted, but the hosted product is what most teams use. If your agent needs to run code the model wrote — data analysis, chart generation, script execution, computer use — E2B is the safest and fastest way to give it that capability.