Overview
AgentSphere is a cloud infrastructure designed specifically for AI agents, providing secure code execution and file processing, and supporting various AI workflows. Its built-in functions include AI data analysis, generating data visualizations, secure virtual desktop agents, etc., aiming to support complex workflows, DevOps integration, and LLM evaluation and fine-tuning.
Target Users
AgentSphere is suitable for enterprise users who need to securely execute AI-generated code, perform data analysis and visualization, automate DevOps, and support complex workflows.

Use Cases

Enterprises in the finance, healthcare, and government sectors can use AgentSphere for secure code execution.
Enterprises can deploy self-healing and self-executing agents in the CI/CD process for DevOps automation.
Research institutions can utilize AgentSphere for large-scale model evaluation and real-time monitoring.

Features

Support AI data processing and generate data visualizations, enabling agents to securely process internal data sets for insights.
Provide a secure virtual desktop agent, allowing agents to access browsers or UI automation in testing and simulations.
Support complex workflows with persistent memory and event-triggered reactivation across multiple agent steps.
Support DevOps, GitOps, and CI integration, enabling agents to interact with Git, execute pipelines, and automate deployments.
Provide LLM evaluation and fine-tuning functions to evaluate code generation quality, test prompts, and assess autonomous behavior.

How to Use

Visit the AgentSphere website.
Register an account and log in.
Select the corresponding functional module and follow the instructions.
Use the functional module for secure code execution, data processing, and DevOps automation.
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