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What is boxd?

boxd provides developers, engineering teams, and applications for AI agents with access to persistent Linux virtual machines, each functioning with its own kernel and offering features like SSH access, a public HTTPS address, and persistent disk storage. This setup allows for the execution of software that demands a full computing environment, incorporating tools such as Docker, systemd, and long-running agents, all within a secure and isolated framework. Users can fork a live machine along with its memory and disk state, which facilitates experimentation with different approaches without needing to recreate the entire environment from scratch; additionally, idle machines can enter a hibernation mode that retains their disk state. Management of these virtual machines is made simple through SSH, a command-line interface, an API, and SDKs available in both Python and TypeScript. Organizations can seamlessly integrate with tools like GitHub, Linear, and Slack to enhance team collaboration. boxd can function as a managed cloud service with a base in Frankfurt or be self-hosted on Linux infrastructures that support KVM, with free deployment options for setups up to 16 vCPUs. Practical implementations of boxd include cloud development environments, AI-agent testing platforms, background coding assistants, and staging environments for previews. This adaptability not only makes it a valuable asset for teams aiming to improve their development workflows but also supports diverse use cases across various industries.

What is NanoVMs?

Unikernels present exceptional advantages, including faster performance, heightened security, increased server capacity, and the possibility of reducing reliance on conventional DevOps methodologies. They can boot up two hundred times quicker than Docker and enable applications to function up to twice as efficiently on Google Cloud Platform and three times faster on Amazon Web Services. Due to their design, unikernels significantly reduce the risk of various remote code execution threats, facilitating the deployment of numerous instances on standard hardware. This unique trait allows for the provisioning of hundreds or even thousands of virtual machines leveraging the same physical resources. Instead of simply scanning for compromised systems, we adopt a proactive strategy by eliminating the tools that attackers use to execute their operations. In addition to these advantages, the combination of efficiency and enhanced security renders unikernels a compelling choice for contemporary cloud environments, appealing to organizations that prioritize both speed and safety in their operations. As more enterprises recognize these benefits, the adoption of unikernels is likely to continue growing.

Media

No images available

Media

Integrations Supported

GitHub
Linear
Model Context Protocol (MCP)

Integrations Supported

.NET
Amazon Web Services (AWS)
C++
Elixir
Go
Java
JavaScript
Lua
Microsoft Azure
OCaml
PHP
Perl
Python
Ruby
Rust
VMware Cloud
Zig

API Availability

Has API

API Availability

Pricing Information

€0.03/hour
Cloud machines use metered, pay-as-you-go billing for vCPU, RAM in use and disk space; there is no monthly subscription or per-seat fee. New cloud accounts receive €30 in credits after adding a payment method. Self-hosted deployments are free up to 16 vCPUs; larger deployments require an annual license.
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

boxd

Date Founded

2026

Company Location

Netherlands

Company Website

boxd.sh/

Company Facts

Organization Name

NanoVMs

Date Founded

2015

Company Location

United States

Company Website

nanovms.com

Categories and Features

Virtual Machine

Not specified

Categories and Features

Virtual Machine

Not specified

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