O

OpenSandbox

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

15.6k
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Commits (90d)
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Releases (6m)

Star Growth

+3.9k (33.3%)estimated from velocity
11.5k13.7k15.9kJul 2Sep 30

Overview

OpenSandbox provides isolated environments for AI applications to execute code, run commands, manage files, and operate browsers or desktops. It supports local Docker deployment and Kubernetes scaling through a unified sandbox API with features like network access control and credential vault integration.

Deep Analysis

Key Differentiator

Provides high-performance Firecracker-based sandboxes with pause/resume capabilities and unified API for both local Docker and Kubernetes deployments.

⚡ Capabilities

  • • Execute commands in sandboxes
  • • Manage files within isolated environments
  • • Run code execution for AI agents
  • • Operate browsers/desktops in sandboxes
  • • Control network access with ingress/egress policies
  • • Secure credential management via vault

🔗 Integrations

DockerKubernetesPython SDKJava/Kotlin SDKTypeScript/JavaScript SDKC#/.NET SDKGo SDKMCP (Model Context Protocol)CLI interface

✓ Best For

  • ✓ Running coding agents in isolated environments
  • ✓ Deploying browser-based AI agents securely
  • ✓ Scaling agent execution on Kubernetes infrastructure
  • ✓ Evaluating AI agents in controlled sandboxes
  • ✓ Managing credentials for agent external service calls

✗ Not Ideal For

  • ✗ End-user AI applications like chatbots or image generators
  • ✗ Non-AI software development
  • ✗ Content creation tools
  • ✗ General-purpose cloud computing

⚠ Known Limitations

  • ⚠ Requires Docker for local execution
  • ⚠ Needs Python 3.10+ for examples and local runtime
  • ⚠ Infrastructure management required for deployment

Alternatives

See all 8 OpenSandbox alternatives →

Works with OpenSandbox

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