OpenSandbox
ActiveDescription
OpenSandbox is an open-source, secure, fast, and extensible sandbox runtime for AI agents, developed by Alibaba.
Key Features
- Multi-language SDKs: Python, Java/Kotlin, JavaScript/TypeScript, C#/.NET, and Go with unified sandbox APIs
- Docker and Kubernetes runtimes: built-in lifecycle management for both local development and large-scale distributed scheduling
- Strong isolation: supports gVisor, Kata Containers, and Firecracker microVM secure container runtimes
- Sandbox environments: built-in Command, Filesystem, and Code Interpreter with examples for coding agents, browser automation, and desktop environments
- Network policy: unified Ingress Gateway with routing strategies plus per-sandbox egress controls
- MCP server: exposes sandbox operations to MCP-capable clients like Claude Code and Cursor for direct agent integration
Use Cases
💡 Secure sandboxed execution for coding agents like Claude Code with full file and command isolation
💡 Agent evaluation benchmarks with reproducible sandbox environments at scale on Kubernetes
💡 AI code execution platforms requiring multi-tenant isolation and network policy controls
💡 Reinforcement learning training workloads with isolated compute environments
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (14.9k stars)
- • Permissive open-source license (Apache-2.0)
Quick Start
Install via `pip install opensandbox`, initialize config with `uvx opensandbox-server init-config ~/.sandbox.toml --example docker`, start the server with `uvx opensandbox-server`, then create a sandbox programmatically using the Python SDK: `await Sandbox.create('python:3.12', ...)`.