AgentSphere

AgentSphere: The AI-Native Cloud Infrastructure for Secure LLM Code Execution

AgentSphere is a cutting-edge AI-native cloud infrastructure designed to serve as a secure sandbox for executing LLM-generated code. It offers a robust platform for running AI agents reliably and at scale, making it an ideal alternative to E2B. AgentSphere provides isolated cloud sandboxes that are purpose-built for executing AI-generated code and handling files securely. These sandboxes seamlessly connect with MCP clients, ensuring a secure and efficient runtime environment for AI agents.

Benefits

Integrated Cloud Sandboxes for Secure Code Execution

AgentSphere provides isolated cloud sandboxes that are purpose-built for executing AI-generated code and handling files securely. These sandboxes seamlessly connect with MCP clients, ensuring a secure and efficient runtime environment for AI agents.

Purpose-Built for AI Workflows

From rapid prototyping to production-grade tasks, AgentSphere supports a wide range of AI workflows. It enables agents to perform various functions, including AI-driven data analysis, generative data visualization, and secure virtual desktop agents.

Stateful Agents & Multi-Stage Tasks

AgentSphere supports complex workflows across multiple agent steps, with persistent memory and event-triggered reactivation. This ensures that agents can handle multi-stage tasks efficiently and effectively.

DevOps, GitOps & CI Integration

Agents can interact with Git, execute pipelines, and automate deployment in controlled, reviewable sessions. This integration streamlines the DevOps process and enhances automation capabilities.

LLM Evaluation & Fine-Tuning

AgentSphere allows for the evaluation of code generation quality, testing of prompts, and assessment of autonomous behavior at scale and in isolation. This feature is crucial for improving the performance and reliability of AI models.

Use Cases

Secure Enterprise Code Execution

AgentSphere enables LLMs to write and run code safely in finance, healthcare, or government scenarios. This ensures that sensitive data and operations are protected.

Agent-Driven DevOps Automation

Deploy self-healing, self-executing agents that operate in secure environments across your CI/CD flow. This automation enhances efficiency and reduces the risk of human error.

Large-Scale Model Evaluation

Scale your eval benchmarks with isolated, reproducible sandboxes and real-time monitoring. This feature ensures that AI models are thoroughly tested and evaluated.

Agent Runtime Core for AI Products

Use the sandbox as the execution backbone for your AI-native apps, copilots, or autonomous systems. This integration ensures that AI products are reliable and efficient.

Security, Speed, and Scale – All in One Platform

Instant Startup

With cold-start latency as low as 100ms, AgentSphere ensures maximum speed by deploying sandboxes in-region.

Enterprise-Grade Security

Backed by lightweight VMs (e.g., Firecracker) with SOC2 and GDPR compliance, AgentSphere is battle-tested for running untrusted AI code. It offers enterprise-grade security, ensuring that all executions are isolated, logged, and reviewable.

Stateful Execution

AgentSphere supports long-running tasks with snapshot recovery, storage persistence, and streaming output. This feature ensures that agents can handle complex and lengthy tasks without interruption.

MCP-Powered Cloud Sandboxes

Connect with your MCP clients to run code and process files in a secure cloud sandbox. This integration ensures that agents can operate in a secure and controlled environment.

Private Deployment

AgentSphere can be deployed in your own cloud (AWS, GCP, on-prem) with full compliance and network isolation. This flexibility ensures that enterprises can meet their specific security and compliance requirements.

Model & Language Agnostic

AgentSphere supports any LLM or runtime, from Python to TypeScript, from codegen to control agents. This versatility makes it a suitable platform for a wide range of AI applications.

Why Choose AgentSphere?

Built for AI-First Infrastructure

AgentSphere is designed from the ground up for agentic use cases, with secure isolation, real-time output, and persistent workflows. This ensures that AI agents can operate efficiently and effectively.

Secure, Auditable, Transparent

Every execution is isolated, logged, and reviewable. This transparency ensures that enterprises have full control over their AI operations.

Scales to Fit

From pilot teams to global rollouts, AgentSphere offers flexible plans, bursting compute, and usage-based pricing. This scalability ensures that enterprises can meet their specific needs and requirements.

Enterprise-Grade SLAs

AgentSphere provides multi-region deployments, VPC peering, identity controls, and compliance-ready options. This ensures that enterprises can meet their specific security and compliance requirements.

AgentSphere is the ultimate AI-native cloud infrastructure for secure LLM code execution, offering a robust platform for running AI agents reliably and at scale. With its advanced features and enterprise-grade security, AgentSphere is the ideal choice for enterprises looking to leverage AI technology.