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Reusable and swappable building blocks for constructing scalable artificial intelligence applications.
Distinguishing note: Focuses on the modularity and architectural design of AI components rather than the models themselves.
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Semantic Kernel is an artificial intelligence orchestration framework designed to integrate large language models with existing codebases. It functions as an agentic workflow engine, providing a standardized interface that connects generative models to traditional application logic, data sources, and external tools to automate complex, multi-step business tasks. The platform distinguishes itself through a modular plugin architecture and a planner-based reasoning engine that decomposes high-level goals into executable sequences of functions. By utilizing a connector-based abstraction layer, it
Creating flexible and reusable AI components that can be easily swapped, tested, and scaled within larger software applications.