// the find
e2b-dev/E2B
Open-source, secure environment with real-world tools for enterprise-grade agents.
E2B gives you programmatically controlled, short-lived Linux sandboxes in the cloud — you spin one up, run code or shell commands inside it, and tear it down. The main use case is letting AI agents execute code safely without touching the host system. Python and TypeScript SDKs, active development, 13k stars.
The sandbox abstraction is genuinely clean: `Sandbox.create()`, run commands, done — no Docker daemon management, no cleanup code. The infrastructure repo is open-source and self-hostable on AWS/GCP via Terraform, which matters if you can't send customer code to a third-party cloud. The code interpreter layer adds structured output (stdout, stderr, rich outputs like plots) on top of raw exec, which saves you from writing that plumbing yourself. Pause/resume support means you can checkpoint a long-running agent without paying for idle time.
It's a managed service with a free tier ceiling — self-hosting looks complete on paper but Terraform-on-GCP/AWS is real ops work that most teams will skip, meaning you're vendor-dependent in practice. Azure is listed as not yet supported, which is a blocker for teams already in that ecosystem. The sandbox default timeout is short and easy to hit in longer agent workflows; the docs on configuring it are scattered. No offline or local-only mode — if their API is down, your agent is down.