Microsoft.SemanticKernel 1.44.0

Prefix Reserved
.NET 8.0 This package targets .NET 8.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Microsoft.SemanticKernel --version 1.44.0
                    


                    

                
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.44.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Microsoft.SemanticKernel" Version="1.44.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.SemanticKernel" Version="1.44.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Microsoft.SemanticKernel" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Microsoft.SemanticKernel --version 1.44.0
                    


                    

                
#r "nuget: Microsoft.SemanticKernel, 1.44.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#addin nuget:?package=Microsoft.SemanticKernel&version=1.44.0
                    


                            Install Microsoft.SemanticKernel as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.SemanticKernel&version=1.44.0
                    


                            Install Microsoft.SemanticKernel as a Cake Tool

About Semantic Kernel

Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.

Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.

Getting Started ⚡

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (86)

Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:

Package Downloads
FonsecaFramework.Ai

Package Description
Soenneker.SemanticKernel.Cache

Providing async thread-safe singleton Semantic Kernel instances
AutoGen.SemanticKernel

This package contains the semantic kernel integration for AutoGen
Hexalith.Infrastructure.AzureDevOps

Hexalith is a set of libraries to build a micro-service architecture.
SemanticKernelPooling

SemanticKernelPooling is a .NET library designed to facilitate seamless integration with multiple AI Semantic Kernel service providers, such as OpenAI, Azure OpenAI, HuggingFace, Google, Mistral AI, and others. It utilizes a kernel pooling approach to manage resources efficiently and provide robust AI capabilities in your .NET applications.

GitHub repositories (35)

Showing the top 20 popular GitHub repositories that depend on Microsoft.SemanticKernel:

Repository Stars
microsoft/PowerToys
Windows system utilities to maximize productivity
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
ServiceStack/ServiceStack
Thoughtfully architected, obscenely fast, thoroughly enjoyable web services for all
SciSharp/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
SciSharp/BotSharp
AI Multi-Agent Framework in .NET
microsoft/kernel-memory
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
microsoft/WhatTheHack
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
microsoft/Generative-AI-for-beginners-dotnet
Five lessons, learn how to really apply AI to your .NET Applications
Azure-Samples/azure-search-openai-demo-csharp
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
dotnet/ai-samples
microsoft/node-api-dotnet
Advanced interoperability between .NET and JavaScript in the same process.
Richasy/FantasyCopilot
A new-age AI desktop tool
microsoft/semantic-kernel-starters
Starter Projects for Semantic Kernel
axzxs2001/Asp.NetCoreExperiment
原来所有项目都移动到**OleVersion**目录下进行保留。新的案例装以.net 5.0为主，一部分对以前案例进行升级，一部分将以前的工作经验总结出来，以供大家参考！
CervantesSec/cervantes
Cervantes is an open-source, collaborative platform designed specifically for pentesters and red teams. It serves as a comprehensive management tool, streamlining the organization of projects, clients, vulnerabilities, and reports in a single, centralized location.
syncfusion/wpf-demos
This repository contains the samples for Syncfusion WPF UI Controls and File Format libraries and the guide to use them.
239573049/ChatGpt.Desktop
ChatGpt Dekstop support Android，IOS，Mac，Linux，Win，Web
microsoft/project-oagents
Experimental AI Agents Framework
Azure-Samples/cosmosdb-chatgpt
Sample application that combines Azure Cosmos DB with Azure OpenAI ChatGPT service
AIDotNet/GraphRag.Net
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中
Version Downloads Last updated
1.45.0 6,007 4/3/2025
1.44.0 12,532 3/26/2025
1.43.0 4,837 3/25/2025
1.42.0 12,687 3/18/2025
1.41.0 15,059 3/11/2025
1.40.1 27,163 3/3/2025
1.40.0 9,573 2/28/2025
1.39.0 14,551 2/25/2025
1.38.0 23,373 2/20/2025
1.37.0 26,782 2/12/2025
1.36.1 13,773 2/7/2025
1.36.0 12,800 2/4/2025
1.35.0 41,537 1/28/2025
1.34.0 29,936 1/22/2025
1.33.0 83,110 1/7/2025
1.32.0 88,076 12/9/2024
1.31.0 45,787 11/27/2024
1.30.0 50,432 11/19/2024
1.29.0 76,916 11/13/2024
1.28.0 26,627 11/7/2024
1.27.0 12,646 11/5/2024
1.26.0 26,834 10/31/2024
1.25.0 79,319 10/23/2024
1.24.1 17,336 10/18/2024
1.23.0 4,720 10/17/2024
1.22.0 54,755 10/8/2024
1.21.1 68,797 9/25/2024
1.21.0 1,755 9/25/2024
1.20.0 40,717 9/17/2024
1.19.0 20,874 9/10/2024
1.18.2 34,015 9/4/2024
1.18.1-rc 19,145 8/27/2024
1.18.0-rc 5,370 8/12/2024
1.17.2 125,690 8/21/2024
1.17.1 87,397 8/7/2024
1.17.0 6,655 8/7/2024
1.16.2 33,936 7/30/2024
1.16.1 33,133 7/23/2024
1.16.0 32,909 7/16/2024
1.15.1 80,163 7/3/2024
1.15.0 80,461 6/19/2024
1.14.1 68,707 6/5/2024
1.14.0 6,118 6/4/2024
1.13.0 84,330 5/20/2024
1.12.0 14,980 5/16/2024
1.11.1 25,881 5/10/2024
1.11.0 4,550 5/8/2024
1.10.0 51,682 4/29/2024
1.9.0 40,387 4/24/2024
1.8.0 12,164 4/22/2024
1.7.1 55,147 4/5/2024
1.7.0 16,005 4/3/2024
1.6.3 64,401 3/19/2024
1.6.2 24,669 3/14/2024
1.6.1 6,191 3/12/2024
1.5.0 46,967 2/27/2024
1.4.0 81,536 2/14/2024
1.3.1 16,060 2/12/2024
1.3.0 68,691 1/31/2024
1.2.0 27,163 1/24/2024
1.1.0 66,484 1/16/2024
1.0.1 85,617 12/18/2023
1.0.0-rc4 4,840 12/13/2023
1.0.0-rc3 11,053 12/6/2023
1.0.0-rc2 1,111 12/5/2023
1.0.0-rc1 3,010 12/5/2023
1.0.0-beta8 108,079 11/16/2023
1.0.0-beta7 10,340 11/16/2023
1.0.0-beta6 16,265 11/9/2023
1.0.0-beta5 10,323 11/6/2023
1.0.0-beta4 13,060 10/30/2023
1.0.0-beta3 15,974 10/23/2023
1.0.0-beta2 15,614 10/16/2023
1.0.0-beta1 17,680 10/9/2023
0.24.230918.1-preview 141,495 9/18/2023
0.24.230912.2-preview 11,359 9/12/2023
0.24.230911.2-preview 1,284 9/11/2023
0.23.230906.2-preview 52,390 9/7/2023
0.22.230905.3-preview 4,944 9/5/2023
0.21.230828.2-preview 23,333 8/28/2023
0.20.230821.4-preview 11,524 8/21/2023
0.19.230804.2-preview 106,497 8/5/2023
0.18.230725.3-preview 57,402 7/25/2023
0.17.230718.1-preview 43,778 7/18/2023
0.17.230711.7-preview 79,831 7/11/2023
0.17.230704.3-preview 42,106 7/4/2023
0.17.230629.1-preview 8,629 6/29/2023
0.17.230626.1-preview 3,163 6/26/2023
0.16.230615.1-preview 24,141 6/16/2023
0.15.231219.1-preview 490 12/19/2023
0.15.230609.2-preview 7,025 6/9/2023
0.15.230531.5-preview 22,570 6/1/2023
0.14.547.1-preview 20,929 5/16/2023
0.13.442.1-preview 19,877 5/9/2023
0.13.277.1-preview 15,973 4/25/2023
0.12.207.1-preview 3,059 4/19/2023
0.11.146.1-preview 3,778 4/12/2023
0.10.72.1-preview 3,996 4/4/2023
0.9.61.1-preview 2,721 3/28/2023
0.8.56.1-preview 1,263 3/27/2023
0.8.48.1-preview 14,108 3/18/2023
0.8.40.1-preview 690 3/14/2023
0.8.11.1-preview 830 3/1/2023