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AgentSphere Product Information

What is AgentSphere?

AgentSphere is an AI-native cloud infrastructure that offers secure code sandboxes for running AI-generated code and managing files safely. It functions as an AI agent sandbox for dependable LLM code execution, providing an alternative to solutions like E2B. You can seamlessly connect MCP clients to isolated cloud sandboxes, specifically designed for AI workflows—from quick prototyping to production-level tasks—ensuring agents operate in a first-class runtime environment.

How to use AgentSphere?

AgentSphere delivers infrastructure for running AI agents with reliability and security. Connect your MCP clients to AgentSphere's isolated cloud sandboxes to run AI-generated code, handle files, and power diverse AI workflows such as data analysis, visualization, virtual desktop agents, and DevOps automation. It serves as an execution backbone for AI-native applications, enabling agents to interact with Git, run pipelines, and automate deployments in controlled, reviewable sessions.

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 datasets

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

FAQ from AgentSphere

What is AgentSphere?

What kind of security does AgentSphere offer?

What types of AI workflows does AgentSphere support?

Can AgentSphere be deployed privately?

Is AgentSphere limited to specific models or languages?

AgentSphere Screenshot

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