AI AGENTS

boxlite

by BoxLite

agentlead-sourcegithub-ai-agent-repositoriessource:github.comsandboxmicro-vmvmoci-containerspythonnodejsrustcgithub

Overview

Embeddable, stateful micro-VM sandboxing for AI agents with snapshots and hardware isolation.

Details

BoxLite is described by its official site as “Sandboxes for every agent” and as embeddable, stateful micro-VM sandboxing for AI agents. The documentation says it spins up lightweight Linux VMs, runs OCI containers inside them, and supports Python, Node.js, Rust, and C SDKs. The GitHub source describes it as a compute substrate for AI agents that is lightweight enough to run on a laptop and elastic enough to scale into the cloud.

When to Use

Run AI-agent workloads that need sandboxed execution in lightweight Linux VMs. Embed stateful micro-VM sandboxes into agent systems using supported SDKs. Use OCI containers inside VM-based sandboxes for agent compute tasks.

Getting Started

Visit the official website at https://boxlite.ai/ to review the product overview.
Read the documentation at https://docs.boxlite.ai/ for the introduction and supported SDKs.
Install using the documented command: pip install boxlite.
Review the GitHub repository at https://github.com/boxlite-ai/boxlite before relying on it in production.

Key Features

•Embeddable micro-VM sandboxing for AI agents
•Stateful sandboxes with snapshots
•Hardware isolation
•Spins up lightweight Linux VMs
•Runs OCI containers inside the VMs
•SDK support for Python
•Node.js
•Rust
•and C

Capabilities

•agent sandboxing
•micro-VM execution
•OCI container execution
•snapshots
•SDK integration

Last updated Jun 6, 2026