Secure and fast microVMs for serverless computing.
Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/
Run AI agents on real and isolated machines β own kernel, filesystem, and network β with <100ms boot. Local first, OCI compatible, pure Rust.
NixOS MicroVMs
firecracker-containerd enables containerd to manage containers as Firecracker microVMs
Sub-millisecond VM sandboxes for AI agents via copy-on-write forking
The runtime behind every E2B stack: Cloud, Enterprise, and your own machine.
Lock, Stock, and Two Smoking MicroVMs. Create and manage the lifecycle of MicroVMs backed by containerd.
Your own self-hosted infra for lightweight VM sandboxes to safely execute untrusted code. CLI, API, Python SDK. β Star it if you like it! β
Isolated VM environment for running Claude Code and Codex
A personal VM cloud in one Go binary: persistent Linux VMs on macOS, Linux and Windows, AI coding agents working inside them, any port published to HTTPS through Cloudflare Tunnel. Driven from a Mac OS 9 desktop in the browser, over SSH, or by an agent.
Upload a binary. Get a server.
MicroVM orchestrator for your VPS with built-in sleep/wake policies, backups, snapshots, HTTPS, custom image, logs and metrics
Herramientas MCP serverless sobre microVMs de Firecracker
Instant MicroVMs/Unikernels for macOS and Linux
FluxVM is a Rust-native virtualization platform for running and managing virtual machines across Firecracker, Cloud Hypervisor, QEMU/KVM, Apple Virtualization.framework, and FluxVMβs own in-tree hypervisor. One API. One CLI. Multiple hypervisors. FluxVM removes the traditional libvirt/XML stack and replaces it with a modern, programmable architec
A sandbox service for running untrusted, agent-authored code that reports the isolation boundary each run executed behind. Lessons, no clone needed: https://plimsollmark.github.io/plimsoll/trainers/