Enterprise-grade secure sandboxes for AI agents & automation workflows.
Visit web version of this listWeb version of this list (E2B) provides secure, isolated, cloud-based sandboxes uniquely designed for running and developing AI agents and automation workflows. It enables AI researchers, developers, and enterprise teams to execute code, connect to LLMs or MCPs, analyze datasets, manage agent lifecycles, and build advanced agentic applications in a Firecracker-based virtualized environment. Features include fast startup, compatibility with any LLM (OpenAI, Anthropic, Mistral, Llama, custom), code execution across major languages, browser/terminal access for agents, long-running sessions, reinforcement learning at scale, and seamless integration into Python, JS, and major AI frameworks.
Visit web version of this list's official website for product details and getting started.
Comprehensive guides and API references for using E2B sandboxes and AI agent development.
Insights, tutorials, and updates on leveraging E2B for AI and automation workflows.
Detailed pricing plans and options for E2B services.