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9 Best Open-Source Sandboxes & Execution Environments in 2026 (Ranked by GitHub Activity)

Secure, isolated runtime environments where AI agents can safely execute code and interact with OS

Top picks right now: Cua, herdr, OpenSandbox. Every tool below is open source and ranked by live GitHub activity (stars, 30-day star growth, commits and releases), refreshed daily.

9 tools

Cua

open-source

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

⭐ 27.6k↑ 2820/mosandboxes-execution

herdr

open-source

the runtime your coding agents live on

⭐ 41.8k↑ 3330/mosandboxes-execution

OpenSandbox

open-source

Secure, Fast, and Extensible Sandbox runtime for AI agents.

⭐ 15.6k↑ 420/mosandboxes-execution

NemoClaw

open-source

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

⭐ 22.6k↑ 480/mosandboxes-execution

E2B

open-source

Open-source, secure environment with real-world tools for enterprise-grade agents.

⭐ 14.1k↑ 414/mosandboxes-execution

docker-android

open-source

Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

⭐ 15.9k↑ 150/mosandboxes-execution

Steel

open-source

🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.

⭐ 7.7k↑ 155/mosandboxes-execution

Fragments by E2B

open-source

Open-source Next.js template for building apps that are fully generated by AI. By E2B.

⭐ 6.4k↑ 25/mosandboxes-execution

Daytona

open-source

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

⭐ 71.7k↑ 60/mosandboxes-execution