AgentSphere: Secure AI Agent Code Execution in Cloud Sandboxes

[baoshi.rao]

Introduction

AgentSphere is an AI-native cloud infrastructure designed for secure code execution in isolated sandboxes. It serves as a reliable platform for running AI-generated code and handling files securely. Visit AgentSphere.

What is AgentSphere?

AgentSphere offers secure cloud sandboxes for executing AI-generated code, making it ideal for AI workflows from prototyping to production. It ensures reliable LLM code execution with enterprise-grade security.

How to Use AgentSphere

Users connect their MCP clients to AgentSphere's isolated sandboxes to execute AI code, process files, and enable workflows like data analysis, visualization, and DevOps automation.

Core Features

• Secure Code Execution: First MCP-integrated cloud sandboxes.
• AI Workflow Support: Designed for AI-driven tasks like data analysis and visualization.
• Enterprise-Grade Security: Compliant with SOC2 and GDPR.
• Stateful Execution: Supports long-running tasks with snapshot recovery.
• Model & Language Agnostic: Works with any LLM or runtime.
• Private Deployment: Available on AWS, GCP, or on-premise.

Use Cases

1. Secure enterprise code execution in regulated industries.
2. Agent-driven DevOps automation.
3. Large-scale model evaluation.
4. AI-driven data analysis and visualization.
5. Secure virtual desktop agents.

FAQ

• What is AgentSphere? A secure cloud sandbox for AI code execution.
• Security? Compliant with SOC2 and GDPR.
• Supported Workflows? Data analysis, DevOps, and more.
• Private Deployment? Yes, on AWS, GCP, or on-premise.
• Language Limitations? No, it supports any LLM or runtime.

For more details, visit AgentSphere.