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microsoft semantic kernel

About Semantic Kernel

Open-source SDK from Microsoft for integrating LLMs into applications using C#, Python, and Java. Semantic Kernel provides an agent framework, plugin architecture, prompt template engine, planner, and memory connectors, designed for enterprise AI orchestration with Azure OpenAI and other providers.

Key Capabilities

Official Microsoft SDK, first-class Azure OpenAI integration with enterprise-grade support

Multi-language support, C#, Python, and Java with consistent API design across all three

Plugin architecture for composable AI capabilities, connect LLMs to APIs, databases, and services

Built-in planner for multi-step task decomposition and autonomous agent workflows

Memory and vector store connectors for RAG with Azure AI Search, Qdrant, Pinecone, and more

Standout Features

Plugin Architecture

Composable plugins that wrap APIs, databases, and services into LLM-callable functions with automatic parameter marshalling.

AI Agent Framework

Built-in planner and agent loop for multi-step reasoning, task decomposition, and autonomous workflows.

Memory Connectors

Vector store integrations with Azure AI Search, Qdrant, Pinecone, Chroma, and more for RAG pipelines.

Perfect for

Enterprise AI
.NET + Python SDK

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Free, open-source SDK (MIT license), no cost to use
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