What is AgentSphere?

AgentSphere is an AI-native cloud infrastructure providing secure code sandboxes for executing AI-generated code and handling files securely. It is designed as an AI agent sandbox for reliable LLM code execution, serving as an alternative to platforms like E2B. It allows seamless connection of MCP clients to isolated cloud sandboxes, purpose-built for AI workflows from rapid prototyping to production-grade tasks, ensuring agents have a first-class runtime.

How to use AgentSphere?

AgentSphere provides an infrastructure for running AI agents reliably and securely. Users connect their MCP clients to AgentSphere's isolated cloud sandboxes to execute AI-generated code, process files, and enable various AI workflows such as>

AgentSphere's Core Features

First MCP-Integrated Cloud Sandboxes for Secure Code Execution

Purpose-Built for AI Workflows (e.g., AI-Driven Data Analysis, Generative Data Visualization, Secure Virtual Desktop Agents)

Instant Startup with cold-start latency as low as 100ms

Enterprise-Grade Security backed by lightweight VMs (e.g., Firecracker) with SOC2 and GDPR compliance

Stateful Execution supporting long-running tasks with snapshot recovery, storage persistence, and streaming output

Model & Language Agnostic, supporting any LLM or runtime from Python to TypeScript

Private Deployment options in AWS, GCP, or on-premise

AgentSphere's Use Cases

Secure Enterprise Code Execution in finance, healthcare, or government scenarios

Agent-Driven DevOps Automation for self-healing, self-executing agents in CI/CD flows

Large-Scale Model Evaluation with isolated, reproducible sandboxes and real-time monitoring

Agent Runtime Core for AI Products, serving as the execution backbone for AI-native apps, copilots, or autonomous systems

AI-Driven Data Analysis for securely processing internal>

Generative Data Visualization for rendering AI-generated dashboards in isolated environments

Secure Virtual Desktop Agents for browser or UI automation testing and simulation

LLM Evaluation & Fine-Tuning for assessing code generation quality and autonomous behavior

AgentSphere Support Email & Customer service contact & Refund contact etc.

More Contact, visit the contact us page(https://www.AgentSphere.com/contact)