Semantic Kernel SDK

Lightweight, open-source SDK for building AI agents and integrating AI models.

by Microsoft (Semantic Kernel) ยท Scientific Computing

Executive Summary

Semantic Kernel is a lightweight, open-source development kit from Microsoft designed to empower developers to build intelligent AI agents and seamlessly integrate large language models (LLMs) into their applications. It supports multiple programming languages, including C#, Python, and Java, providing a flexible framework for enhancing existing software with advanced AI capabilities. The SDK acts as an orchestration layer, bridging traditional programming logic with the power of AI models and external services. Its core features include a robust plugin architecture, which allows developers to encapsulate existing APIs and native functions, making them accessible to AI agents. Additionally, it offers an agent framework for creating autonomous AI agents capable of reasoning, planning, and executing complex tasks. Semantic Kernel provides extensive integrations with leading AI services such as Azure OpenAI, Amazon Bedrock, and various chat completion models like GPT-4, Mistral, and Google's models. By facilitating contextual function selection, Semantic Kernel enables AI agents to intelligently choose and invoke the most relevant tools and functions based on user prompts and dynamic contexts. This modular and extensible design makes it an ideal tool for developers looking to create sophisticated, custom AI solutions that can interact with diverse data sources and services, driving innovation in AI-powered application development.

Use Cases

  • Building intelligent AI agents that orchestrate LLMs and external tools to perform complex tasks.
  • Integrating advanced AI capabilities (e.g., chat completion, embeddings) into existing C#, Python, or Java applications.
  • Creating custom plugins to enable AI models to interact with proprietary APIs and native functions.
  • Developing applications that leverage contextual function selection for dynamic and intelligent AI behavior.
  • Enhancing digital workplaces and enterprise applications with AI-powered productivity tools.

Features

Intelligence

  • AI Agent Framework: Build autonomous AI agents that can reason, plan, and execute complex tasks by orchestrating LLMs and tools.
  • Plugin Architecture: Encapsulate existing APIs and native functions into reusable plugins, extending AI capabilities to interact with external services.
  • Contextual Function Selection: Enable AI models to intelligently choose and invoke the most relevant functions based on user prompts and context.
  • Multi-Language Support: Develop AI-powered applications using C#, Python, or Java.

Technical Specifications

Architecture
Open-source SDK designed to connect native code (C#, Python, Java) with large language models (LLMs) and external services. It features a plugin architecture for extending capabilities and an agent framework for building autonomous AI agents.
Deployment
Self-Hosted
API Available
Yes

Infrastructure

  • Azure
  • AWS

AI/ML Stack

  • Large Language Models (LLMs)
  • Embeddings
  • AI Agents

Integrations

  • Azure OpenAI
  • Amazon Bedrock
  • OpenAPI Specifications
  • GPT-4
  • Mistral
  • Google AI Models

Pricing

Model
Open-source
Starting Price
Free
Target Customer
Developers,SMB,Mid-Market,Enterprise
Free Trial
No (no credit card required)