https://github.com/amdevit/aiagent

A modular framework for building intelligent and autonomous AI agents. AI Agent extends Semantic Kernel with tools for customization, scalability, and integration into diverse systems. Designed for interoperability, it adapts to various frameworks, ensuring flexibility and long-term versatility.
https://github.com/amdevit/aiagent

gpt ia semantic-kernel

Last synced: 11 months ago
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A modular framework for building intelligent and autonomous AI agents. AI Agent extends Semantic Kernel with tools for customization, scalability, and integration into diverse systems. Designed for interoperability, it adapts to various frameworks, ensuring flexibility and long-term versatility.

• Host: GitHub
• URL: https://github.com/amdevit/aiagent
• Owner: AMDevIT
• License: mit
• Created: 2024-12-13T12:01:41.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-28T09:30:52.000Z (12 months ago)
• Last Synced: 2025-05-05T20:05:39.574Z (11 months ago)
• Topics: gpt, ia, semantic-kernel
• Language: C#
• Homepage:
• Size: 1.41 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Project description

AI Agent is a flexible and modular framework designed to extend the capabilities of AI systems. 

It provides tools for building intelligent and autonomous agents with seamless integration into existing infrastructures. 

With interoperability in mind, AI Agent supports easy customization, scalability, and adaptability for diverse use cases. 

While natively extending Semantic Kernel, AI Agent is built to adapt to other frameworks, ensuring long-term versatility.

# Goals

The primary goal of this project is to deliver an easy-to-use library for implementing AI functionalities across existing frameworks. 

AI Agent promotes the ethical use of AI agents by fostering transparency, autonomy, and respect for near-human personalities. 

This includes addressing compromises and navigating the technological limitations inherent in such implementations.

The project also strives to bridge the gap between modularity and personalization, empowering developers to create adaptable AI agents while maintaining a responsible approach to innovation. 

Whether you need an AI to integrate into your systems or to simulate meaningful interactions, AI Agent provides a robust foundation.