AI Agent Sandbox & Runtime Infrastructure

Isolated container environments for safely running AI-generated code, RL rollouts, and agent workloads at scale, with sub-second scheduling, support for 100k+ concurrent sandboxes, integrated storage, and full observability.

Docker Sandboxes are disposable, isolated microVM environments designed to run AI coding agents (such as Claude Code, Copilot CLI, Codex, and Kiro) safely and unattended, providing each agent with its own Docker daemon, filesystem, and network without touching the host system.

E2B Sandbox provides secure, isolated Linux microVM environments that AI agents can use to safely execute LLM-generated code, run shell commands, install packages, and interact with tools — exposed via Python and JavaScript SDKs and a REST API, with billing tied to active compute time.

On-demand KVM-isolated virtual machines accessible via SSH or API, designed for developers and AI agents to safely run code, execute commands, and manage persistent workloads in isolated, ephemeral or durable environments with copy-on-write cloning, pooled resource pricing, and built-in HTTPS proxying.

Fly.io's microVM compute platform that enables fast, on-demand deployment of containerized applications across a globally distributed network of data centers.

An open-source AI agent runtime that provides isolated per-agent containers (nsjail sandboxes), cron scheduling, webhook ingress, encrypted state, and multi-channel communication so AI assistants can build and run persistent autonomous agents 24/7 with 70–98% fewer tokens than standard MCP tool calls.