E2B
Open-source, secure cloud sandboxes for AI agents: an isolated machine per agent to run code, browse and use tools.
Tags
Agent access
Related
- Daytona: Secure and elastic infrastructure (sandboxes) for running AI-generated code.
- Modal: Cloud platform for production AI: inference, training, sandboxes and serverless functions on one platform.
Guides & comparisons
- Run agent-generated code safely in a sandbox (Guide): A defense-in-depth recipe for executing LLM-written or user-supplied code: pick an isolation boundary, lock down egress, keep secrets out, cap time and resources, and treat the output as untrusted.
- Code sandboxes for AI agents (Comparison): E2B, Daytona, Modal, Vercel Sandbox, Cloudflare Sandboxes, Fly.io Sprites and microsandbox compared on isolation, pricing, free tier, lifetime, persistence, egress controls, SDKs, GPUs and self-hosting.
- Coding agent starter stack (Stack): A terminal coding agent plus current library docs, GitHub access, a real browser and a sandbox, connected over MCP, with the configuration choices that keep it safe.
- Research agent stack (Stack): An agent that searches the web and the scholarly record, reads full sources, runs analysis code in a sandbox and cites what it found, with tracing so you can audit how it got there.
Sources
Machine-readable
- JSON
- Markdown
- Source file on GitHub (edit via pull request)