Features#

AIO Sandbox provides a comprehensive set of features designed for AI agents, developers, and automation workflows.

Core Features#

🌐 Unified Environment#

All components run in a single Docker container, ensuring seamless file sharing and workflow integration:

• Browser with VNC access
• Shell terminal with WebSocket support
• File system operations API
• VSCode Server for cloud development

⚡ Instant Development Setup#

Get started immediately with pre-configured tools:

• No complex installation processes
• Pre-integrated development stack
• Ready-to-use MCP servers
• Built-in preview capabilities

🔐 Secure Code Execution#

Execute code safely with integrated Sandbox Fusion:

• Isolated Python execution environment
• Secure Node.js runtime
• Memory and resource limits
• Safe file system access

🤖 Agent Integration Ready#

Perfect for AI agent workflows:

• MCP Hub with common servers
• WebSocket-based interactions
• RESTful API endpoints
• Standardized response formats

Technical Features#

File System Sharing#

Because all components run in the same container:

• Files downloaded in browser are immediately available in shell
• Code written in VSCode can be executed in terminal
• File operations reflect across all interfaces
• No complex volume mounting required

Multi-Interface Access#

Access your environment through multiple interfaces:

• VNC Browser: Visual GUI interaction
• Code Server: Full VSCode experience
• WebSocket Terminal: Real-time shell access
• REST APIs: Programmatic file and shell operations

Development Preview#

Built-in proxy endpoints for application testing:

• Frontend applications via /absproxy/{port}/
• Backend services via /proxy/{port}/
• Real-time development server access
• No additional reverse proxy setup

MCP Server Integration#

Pre-configured Model Context Protocol servers:

• Browser: Web automation and interaction
• File: File system operations
• Terminal: Shell command execution
• Markitdown: Document processing
• Arxiv: Research paper access

Use Case Examples#

AI Agent Development#

Perfect for building agents that need to:

# Example: Agent browsing and file operations
await browser.goto("https://example.com")
data = await browser.extract_text()
await file_system.write("/tmp/data.txt", data)
await terminal.execute("python process_data.py")

Remote Development#

Ideal for distributed teams:

• Consistent development environment
• Version-controlled container configuration
• Shared tooling and dependencies
• Real-time collaboration capabilities

Automation Workflows#

Great for complex automation:

• Browser-based data collection
• File processing and transformation
• Code generation and execution
• Multi-step pipeline orchestration

Performance & Scalability#

Lightweight Architecture#

Built on ByteFaaS technology:

• Minimal resource overhead
• Fast startup times
• Efficient memory usage
• Optimized for container environments

Horizontal Scaling#

Deploy multiple instances easily:

• Stateless design where possible
• Session management for terminals
• Load balancing ready
• Cloud-native architecture

Enterprise Ready#

Production deployment features:

• Health check endpoints
• Logging and monitoring
• Security best practices
• Resource limit enforcement

Security Features#

Isolation#

Multiple layers of security:

• Container-level isolation
• Sandboxed code execution
• Limited file system access
• Network access controls

Safe Execution#

Sandbox Fusion provides:

• Memory limits per execution
• CPU time restrictions
• File system boundaries
• Import/require limitations

Access Control#

Configurable security options:

• Optional sudo access
• File permission controls
• Network restrictions
• Resource quotas

Ready to explore these features? Check out our Quick Start guide to begin using AIO Sandbox.