Open Source Virtual Machine Projects
A virtual machine (VM) is a software-based environment that emulates a computer or provides a defined execution model for programs. VMs can run separate operating systems, isolate workloads, or execute code under controlled conditions. They help make computing environments more portable and repeatable, while limiting the effects of failures or untrusted software. Some specialized VMs also support verifiable computation or lightweight sandboxes for short-lived tasks.
Open source tools in this area include hypervisors, VM monitors, emulators, language runtimes, and sandboxing systems. When choosing one, consider its security model, supported guest systems and hardware, performance overhead, licensing, documentation, maintenance activity, and integration with existing workflows. Some tools require virtualization support or administrative access, while others run as ordinary applications. VMs are useful to developers, system administrators, researchers, and anyone who needs isolated, reproducible, or cross-platform execution.
3 repositories · updated October 3, 2026
zeroboot: Create Fast VM Sandboxes for AI Agents
Zeroboot uses copy-on-write forks of Firecracker VM snapshots to create isolated sandboxes quickly for code execution. It is aimed at teams running agent-generated code that need VM-level isolation and can accept a working-prototype maturity level.
Podroid: Run Linux Containers and Desktop Apps on Android
Podroid runs Alpine Linux in a rootless virtual machine on Android, enabling container workloads and Linux desktop apps without replacing Android or requiring root. It is aimed at developers and Linux enthusiasts who want a portable ARM64 environment on their phone.
nexus-zkvm: A Modular and Extensible Zero-Knowledge Virtual Machine
The Nexus zkVM is a zero-knowledge virtual machine developed by nexus-xyz, written in Rust. It emphasizes a modular, extensible, and prover-optimized design, focusing on performance, security, and open science principles. This project aims to provide a transparent and efficient proving mechanism for zero-knowledge applications.