Sponsored by BrandGhost BrandGhost is a social media automation tool that helps content creators efficiently manage and schedule their social media... Visit now

On this page

AgentSphere

Are you frustrated with insecure and unreliable environments for executing AI code? AgentSphere offers a secure, scalable cloud sandbox for running AI agents, eliminating worries about data breaches or unstable infrastructure.

Unlock Secure AI Workflow Execution

Experience instant, protected code execution tailored for AI workflows, from data analysis to automation. With AgentSphere, you get enterprise-grade security, long-running support, and model-agnostic flexibility, making your AI projects more efficient and trustworthy. Say goodbye to insecure environments — now your AI workflows are safe, fast, and scalable.

Visit AI Tool

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

How AgentSphere Works In 3 Steps?

  1. 1. Connect to Cloud Sandboxes

    Link your MCP clients to AgentSphere's secure sandboxes for reliable AI code execution.
  2. 2. Run AI Workflows

    Execute AI-driven tasks like data analysis and visualization within isolated environments.
  3. 3. Automate & Deploy

    Integrate with Git, automate pipelines, and deploy AI applications securely at scale.

Customer Reviews for AgentSphere

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend — Monthly growth
6-month timeline
Most helpful
Mohammed Khan
Mohammed Khan

As a senior data scientist at a finance firm, I needed a way to run sensitive AI models without risking data leaks. AgentSphere’s MCP-integrated sandbox provided the security I craved, allowing us to execute complex algorithms confidently. The instant startup and low latency meant faster iterations, directly impacting our project timelines. The only hiccup was the limited private deployment options for our off-premise needs, which occasionally slowed integration with existing infrastructure. Overall, the security and speed make it a standout tool for enterprise AI workflows.

Read full →
fast

Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

No reviews yet

No reviews yet in this period

Be the first to share your experience!

Filter by rating:

Showing 1 - 2 of 2 reviews .

User avatar for Mohammed Khan

Mohammed Khan

Verified purchase
5.0
Recommends

Secure, Reliable AI Code Execution A Game Changer for My Team

Used for over year

What I liked

  • First MCP-Integrated Cloud Sandboxes for secure code execution
  • Fast startup times with low latency
  • Model & language agnostic for diverse AI tasks
  • Enterprise-grade security and recovery features

What could be better

  • Limited private deployment options for hybrid setups
  • Initial setup can be complex for non-technical teams

As a senior data scientist at a finance firm, I needed a way to run sensitive AI models without risking data leaks. AgentSphere’s MCP-integrated sandbox provided the security I craved, allowing us to execute complex algorithms confidently. The instant startup and low latency meant faster iterations, directly impacting our project timelines. The only hiccup was the limited private deployment options for our off-premise needs, which occasionally slowed integration with existing infrastructure. Overall, the security and speed make it a standout tool for enterprise AI workflows.

Was this helpful?
Link copied! 🎉
User avatar for Chloe Lee

Chloe Lee

5.0
Recommends

Great for AI Workflow Automation, but Training Speed Is Lacking

Used for 6-12 months

What I liked

  • Supports long, stateful executions with recovery
  • Flexible deployment and runtime-agnostic support
  • Ideal for large-scale model evaluation and automation
  • Offers virtual desktop agents for seamless workflows

What could be better

  • Occasional delays during lengthy training sessions
  • Recovery process can introduce minor latency

I’m a DevOps engineer working on AI model evaluation at a healthcare startup. AgentSphere’s purpose-built environment simplified automating large-scale model testing across multiple environments. The support for any runtime made it flexible to our diverse tools, and the model-agnostic approach meant fewer headaches. However, I noticed that running very long training jobs or batch evaluations sometimes experienced delays, likely due to recovery overhead. Still, the ability to run secure, isolated experiments swiftly outweighs this minor slowdown, especially given our demand for compliance.

Was this helpful?
Link copied! 🎉

Direct Comparison

See how AgentSphere compares to its alternative:

AgentSphere VS AgentForge

AgentSphere: Features, Advantages & FAQs

Explore everything you need to know about AgentSphere

Core Features
  • First MCP-Integrated Cloud Sandboxes for Secure Code Execution: Ensures safe code runs
  • Purpose-Built for AI Workflows: Supports diverse AI tasks
  • Instant Startup with low latency: Saves time
  • Enterprise-Grade Security: Protects data
  • Stateful Execution with recovery: Supports long tasks
  • Model & Language Agnostic: Supports any runtime
  • Private Deployment options: Flexible security options
Advantages
  • Ensures secure code execution
  • Supports multiple AI models and languages
  • Low latency startup
  • Enterprise security compliance
  • Long-term task support
  • Private deployment options
Use Cases
  • Secure enterprise code execution
  • Agent-driven DevOps automation
  • Large-scale model evaluation
  • AI-native application backend
  • AI-driven data analysis
  • Generative data visualization
  • Virtual desktop agents

Frequently Asked Questions

What is AgentSphere?

AgentSphere is an AI-native cloud infrastructure providing secure, isolated sandboxes for executing AI-generated code and handling files.

What kind of security does AgentSphere offer?

It provides enterprise-grade security with SOC2 and GDPR compliance, lightweight VMs, and isolated environments.

Can AgentSphere be deployed privately?

Yes, it offers private deployment options on AWS, GCP, or on-premise.

Top Alternatives to AgentSphere

Curated options ranked by similarity, features, and value.

Sort by
Fetching better matches…
  • No alternatives found yet.

    Try adjusting filters or check back soon.

Best Primary Tasks for AgentSphere — Top Use Cases & Workflows

Discover the most common tasks where AgentSphere excels: curated, high-relevance suggestions to help you get started faster.

View All Best Primary Tasks

Rate this tool

Help others by sharing your experience with AgentSphere

Rate AgentSphere