Build AI Agents

Build and optimize AI agents with collaborative multi-agent frameworks.

AutoGen

Build AI agents effortlessly with Semantic Kernel's modular SDK.

Semantic Kernel

AutoGen is an innovative open-source programming framework designed to build AI agents and facilitate collaboration among multiple agents to tackle complex tasks. It empowers developers to create next-generation AI applications by offering customizable and conversable agents that seamlessly integrate with large language models (LLMs), tools, and human input. AutoGen supports a variety of conversation patterns, autonomous and human-in-the-loop workflows, and enhances LLM inference and optimization, thereby maximizing performance and reducing costs.

Developed through a collaboration between Microsoft, Penn State University, and the University of Washington, AutoGen stands out by accelerating research and development in agentic AI, much like PyTorch does for deep learning. Its unique features include a multi-agent conversation framework, customizable agents, and support for diverse conversation patterns. AutoGen simplifies LLM workflow orchestration and offers enhanced LLM inference and optimization, making it a powerful tool for building AI agents, developing multi-agent systems, automating LLM workflows, and enhancing LLM performance across various domains.

Semantic Kernel is a powerful SDK developed by Microsoft that empowers developers to seamlessly integrate large language models, such as OpenAI and Azure OpenAI, into their C#, Python, or Java codebases. This tool is designed to facilitate the creation of AI agents and enterprise-grade solutions by providing a modular and extensible platform. With Semantic Kernel, developers can effortlessly connect to the latest AI models without the need to rewrite existing codebases, ensuring a smooth and efficient development process.

What makes Semantic Kernel stand out is its ability to automatically orchestrate plugins and manage prompts, offering a future-proof AI integration solution. The platform is equipped with security enhancements, including telemetry support, and provides abstractions for AI services, making it a robust choice for developers. Additionally, the Visual Studio Code extension enhances the development experience, allowing for seamless integration and management of AI models. Semantic Kernel's support for multiple programming languages, including C#, Python, and Java, further distinguishes it as a versatile and comprehensive tool for building AI-driven applications.

Build AI Agents Tools

2 Tools for Build AI Agents

AutoGen

Semantic Kernel