AgentSphere

AgentSphere is a cloud infrastructure designed for AI agents, providing secure code execution and file processing, supporting a variety of AI workflows. Its built-in features include AI data analysis, data generation visualization, secure virtual desktop proxy, etc., aim to support complex workflows, DevOps integration, and LLM evaluation and fine-tuning.

Demand population:

AgentSphere is suitable for enterprise users who need to securely perform AI-generated code, data analysis and visualization, DevOps automation, and complex workflow support.

Example of usage scenarios:

Businesses in the financial, medical and government sectors can use AgentSphere for secure code execution.

Enterprises can deploy self-healing and self-executing agents to automate DevOps in the CI/CD process.

Research institutions can use AgentSphere for large-scale model evaluation and real-time monitoring.

Product Features:

Supports AI data processing and generated data visualization, enabling agents to safely process internal data sets for insights.

Provides a secure virtual desktop proxy that allows the proxy to access the browser or UI automation in tests and simulations.

Supports complex workflows with persistent memory and event-triggered reactivation across multiple proxy steps.

Supports DevOps, GitOps and CI integration, allowing agents to interact with Git, perform pipelines, and automate deployment.

Provides LLM evaluation and fine-tuning functions, evaluates code generation quality, test prompts, and evaluates autonomous behavior.

Tutorials for use:

Visit the AgentSphere website.

Register an account and log in.

Select the corresponding functional module and follow the instructions.

Use functional modules for secure code execution, data processing and DevOps automation.