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Modular AI Components · Awesome GitHub Repositories

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Awesome GitHub RepositoriesModular AI Components

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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  • microsoft/semantic-kernel

    microsoft/semantic-kernel

    27,262View on GitHub↗

    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.

    C#aiartificial-intelligencellm
    27,262View on GitHub↗