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AI AGENTS

boxlite

by BoxLite

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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

  1. Visit the official website at https://boxlite.ai/ to review the product overview.
  2. Read the documentation at https://docs.boxlite.ai/ for the introduction and supported SDKs.
  3. Install using the documented command: pip install boxlite.
  4. 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