AutoGen: Multi-Agent AI Applications

Generative AI models have made significant progress on tasks such as summarizing passages, extracting entities and generating code etc. However, they currently struggle to address more complex tasks that require multi-step planning, reasoning, and action - for example, building a complete Android app for displaying stock prices. To create helpful AI assistants that can seamlessly handle these complex tasks, it is crucial to develop agents that can act, collaborate with other entities (including humans), and serve as interfaces to the digital world.
But how do we define such multi-agent workflows, empower developers to build them, and address the open challenges that arise? AutoGen is a pioneering attempt to answer these questions and offers a generic framework for building multi-agent AI applications.

In this talk I will briefly introduce the AutoGen framework and show a demo of AutoGen Studio - a low code interface that enables rapid prototyping of multi-agent applications.

AutoGen is an open-source project (MIT License) on GitHub - https://github.com/microsoft/autogen. With over 24k stars, more than 250 contributors, and a growing ecosystem of integrations, AutoGen is a vibrant community of enthusiasts prototyping applications across various industry use cases.