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microsandbox

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Basic Information

microsandbox is a self-hosted platform and SDK for securely executing untrusted user or AI-generated code. It provides a server that runs isolated microVMs to host language-specific sandbox environments such as Python and Node, plus client SDKs and CLI tooling to manage and run sandboxes from many programming languages. The project targets developers who need fast, hardware-level isolation for code execution while retaining control of their infrastructure. The README documents quick start commands to install the server, pull environment images, and use language SDKs. It also describes a project workflow using a Sandboxfile to define sandboxes, and notes that the server acts as an MCP server for integration with MCP-enabled AI tools. Examples show how to create sandboxes, run code, and persist or discard sandbox state.

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3480
App URL
https://github.com/microsandbox/microsandbox
Github Repository
https://github.com/microsandbox/microsandbox/blob/main/README.md

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App Details

Features
Strong hardware-level isolation implemented with lightweight microVMs to reduce breakout risk while supporting OCI-compatible images. Extremely fast startup times with boot latency under 200ms for instant execution. Multi-language SDKs and client libraries across Python, JavaScript, Rust and many other languages, plus a CLI with commands such as msb server start, msb pull, msb init, msb run, msb exe and msb install. Project-based Sandboxfile workflow for reproducible sandboxes and persistent development environments. Support for temporary non-persistent sandboxes for one-off execution and installed sandboxes that behave like system executables. AI-ready MCP support to connect MCP-enabled agents and integrations.
Use Cases
microsandbox lets teams and developers run untrusted or experimental code safely on their own infrastructure while preserving performance and flexibility. It is useful for AI-assisted development and agent workflows where code must be executed, tested, or hosted quickly without risking the host system. Use cases highlighted include AI pair programming and instant dev environments, data analysis with libraries like NumPy and Pandas inside protected sandboxes, web browsing agents that can scrape or interact with websites securely, and zero-setup instant app hosting for demos. The platform preserves project state when desired, supports fast iteration, and enables integration with MCP-enabled AI tools for seamless AI-driven automation.

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