This repository is an "awesome list" curating tools, projects, and resources for Microsoft's Semantic Kernel framework. It serves developers, researchers, and power users looking to build AI-powered applications efficiently by leveraging LLMs, plugins, and orchestration capabilities. The list aims to track the rapidly growing Semantic Kernel ecosystem, providing a central hub for learning and development.

How It Works

Semantic Kernel is a framework designed to integrate LLMs into traditional applications. It achieves this through a plugin architecture, allowing developers to connect LLMs to external data sources and native functions. This enables LLMs to interact with APIs and services, acting as intelligent agents. The framework supports concepts like planners for action sequencing and personas for defining AI behavior, facilitating complex AI orchestration.

Quick Start & Requirements

• Installation: Primarily through package managers like pip for Python or NuGet for .NET. Specific projects within the list will have their own installation instructions.
• Prerequisites: Generally requires Python or .NET environments. Many projects leverage LLM APIs (e.g., OpenAI, Azure OpenAI), requiring API keys. Some projects may benefit from specific hardware or CUDA versions for local model inference.
• Resources: Links to official documentation, starter projects, and tutorials are provided throughout the list for detailed setup.

Highlighted Details

• Extensive collection of plugins for various services (e.g., AssemblyAI, Elasticsearch, SQL Server, Microsoft Graph).
• Numerous examples and starter projects demonstrating Semantic Kernel's capabilities in C#, Python, and Java.
• Resources covering core concepts like memory, planners, and personas, with links to official blogs and learning materials.
• Comparisons and integrations with other AI frameworks like LangChain and AutoGen.

Maintenance & Community

The list is community-driven, with contributions welcomed via pull requests or issues. Links to Discord channels and official blogs are provided for community engagement and updates.

Licensing & Compatibility

The Semantic Kernel framework itself is typically licensed under permissive licenses (e.g., MIT), allowing for commercial use and integration into closed-source projects. However, individual projects listed may have different licenses.

Limitations & Caveats

This is an "awesome list," meaning it's a curated collection of external projects. The quality, maintenance status, and compatibility of individual projects vary. Users should evaluate each linked resource independently.