superserve-ai/superserve

Sandbox infrastructure for AI Agents

What it solves

Superserve provides persistent and secure sandboxes for AI agents, allowing them to execute code or perform tasks in an isolated environment without compromising the host system's security.

How it works

The project uses Firecracker microVMs to power its sandboxes, ensuring high-level isolation. It provides a suite of tools for management, including a TypeScript and Python SDK for integration, a CLI, and a dashboard console for monitoring and managing sandboxes.

Who it’s for

Developers building AI agents that require a secure, persistent environment to run code or interact with a system.

Highlights

  • Firecracker-powered: Uses microVMs for strong security and isolation.
  • Persistent Sandboxes: Environments that maintain state across sessions.
  • Multi-language Support: Dedicated SDKs for both Python and TypeScript.
  • Management Tools: Includes a CLI and a web-based console dashboard.

Related

  • Project
    opensandbox-group/OpenSandbox

    OpenSandbox provides isolated, secure environments on your own infrastructure for AI agents to execute code, run commands, and operate browsers or desktops.

  • Project
    tensorlakeai/tensorlake

    Tensorlake is a cloud platform that offers fast, scalable MicroVM sandboxes for running AI agents safely. It provides a Python SDK and CLI to create, manage, snapshot, and pool sandboxes, a versioned object‑store filesystem, and a serverless orchestration layer where functions (decorated with `@function`) run in isolated sandboxes and can be invoked via HTTP.

  • Project
    superradcompany/microsandbox

    A tool for running untrusted workloads in fast, local microVMs with hardware-level isolation, specifically designed for AI agents and automated code execution.

  • Project
    kvcache-ai/AgentENV

    A scalable platform for running AI agent environments using Firecracker microVMs, featuring rapid snapshot-based booting and high-density resource management.