AutoGen

About this AI Agent

AutoGen is an open-source programming framework for building AI agents and facilitating collaboration among multiple agents to solve complex tasks. It enables the development of next-generation AI applications by providing customizable and conversable agents that integrate with large language models (LLMs), tools, and human input. AutoGen supports diverse conversation patterns, autonomous and human-in-the-loop workflows, and enhanced LLM inference and optimization. This maximizes LLM performance and reduces costs, overcoming common weaknesses in LLMs. Developed collaboratively by Microsoft, Penn State University, and the University of Washington, AutoGen accelerates research and development in agentic AI, similar to how PyTorch serves deep learning.

Agent Features

• Multi-Agent Conversation Framework
• Customizable and Conversable Agents
• Supports Diverse Conversation Patterns
• Enhanced LLM Inference and Optimization
• Simplifies LLM Workflow Orchestration
• Autonomous and Human-in-the-Loop Workflows
• Collection of Working Systems Across Domains

Agent Use Cases

• Build AI Agents
• Develop Multi-Agent Systems
• Automate LLM Workflows
• Research Agentic AI
• Enhance LLM Performance