Microsoft.SemanticKernel 1.37.0

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. 
dotnet add package Microsoft.SemanticKernel --version 1.37.0                

                    
                

            
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.37.0
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="1.37.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.SemanticKernel --version 1.37.0                

                    
                

            
#r "nuget: Microsoft.SemanticKernel, 1.37.0"
#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. 
// Install Microsoft.SemanticKernel as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel&version=1.37.0

// Install Microsoft.SemanticKernel as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel&version=1.37.0

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 (69)

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

Package Downloads
FonsecaFramework.Ai

Package Description
Hexalith.Infrastructure.AzureDevOps

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

This package contains the semantic kernel integration for AutoGen
Senparc.AI.Kernel

Senparc.AI 核心模块，支持 Semantic Kernel，提供一系列 Senparc.AI 产品基础接口实现
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 (33)

Showing the top 5 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.
elsa-workflows/elsa-core
A .NET workflows library
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.
Version Downloads Last updated
1.37.0 25 2/12/2025
1.36.1 3,775 2/7/2025
1.36.0 2,782 2/4/2025
1.35.0 9,656 1/28/2025
1.34.0 7,435 1/22/2025
1.33.0 28,629 1/7/2025
1.32.0 46,755 12/9/2024
1.31.0 28,338 11/27/2024
1.30.0 33,281 11/19/2024
1.29.0 50,716 11/13/2024
1.28.0 21,212 11/7/2024
1.27.0 10,223 11/5/2024
1.26.0 20,686 10/31/2024
1.25.0 66,457 10/23/2024
1.24.1 13,998 10/18/2024
1.23.0 3,520 10/17/2024
1.22.0 40,302 10/8/2024
1.21.1 52,893 9/25/2024
1.21.0 1,216 9/25/2024
1.20.0 26,935 9/17/2024
1.19.0 18,187 9/10/2024
1.18.2 31,620 9/4/2024
1.18.1-rc 14,171 8/27/2024
1.18.0-rc 4,869 8/12/2024
1.17.2 104,707 8/21/2024
1.17.1 79,855 8/7/2024
1.17.0 6,217 8/7/2024
1.16.2 29,824 7/30/2024
1.16.1 30,934 7/23/2024
1.16.0 27,967 7/16/2024
1.15.1 74,075 7/3/2024
1.15.0 74,318 6/19/2024
1.14.1 63,831 6/5/2024
1.14.0 5,581 6/4/2024
1.13.0 79,507 5/20/2024
1.12.0 14,287 5/16/2024
1.11.1 22,859 5/10/2024
1.11.0 4,192 5/8/2024
1.10.0 46,685 4/29/2024
1.9.0 34,361 4/24/2024
1.8.0 11,025 4/22/2024
1.7.1 51,852 4/5/2024
1.7.0 14,103 4/3/2024
1.6.3 59,087 3/19/2024
1.6.2 22,312 3/14/2024
1.6.1 6,008 3/12/2024
1.5.0 44,234 2/27/2024
1.4.0 75,719 2/14/2024
1.3.1 14,343 2/12/2024
1.3.0 62,142 1/31/2024
1.2.0 25,306 1/24/2024
1.1.0 66,074 1/16/2024
1.0.1 78,977 12/18/2023
1.0.0-rc4 4,789 12/13/2023
1.0.0-rc3 10,901 12/6/2023
1.0.0-rc2 1,099 12/5/2023
1.0.0-rc1 2,983 12/5/2023
1.0.0-beta8 104,393 11/16/2023
1.0.0-beta7 8,292 11/16/2023
1.0.0-beta6 15,953 11/9/2023
1.0.0-beta5 9,587 11/6/2023
1.0.0-beta4 12,858 10/30/2023
1.0.0-beta3 15,534 10/23/2023
1.0.0-beta2 14,927 10/16/2023
1.0.0-beta1 17,558 10/9/2023
0.24.230918.1-preview 129,201 9/18/2023
0.24.230912.2-preview 11,206 9/12/2023
0.24.230911.2-preview 1,206 9/11/2023
0.23.230906.2-preview 52,308 9/7/2023
0.22.230905.3-preview 4,857 9/5/2023
0.21.230828.2-preview 21,987 8/28/2023
0.20.230821.4-preview 11,497 8/21/2023
0.19.230804.2-preview 105,844 8/5/2023
0.18.230725.3-preview 56,223 7/25/2023
0.17.230718.1-preview 40,353 7/18/2023
0.17.230711.7-preview 79,737 7/11/2023
0.17.230704.3-preview 42,009 7/4/2023
0.17.230629.1-preview 8,540 6/29/2023
0.17.230626.1-preview 3,136 6/26/2023
0.16.230615.1-preview 23,776 6/16/2023
0.15.231219.1-preview 482 12/19/2023
0.15.230609.2-preview 7,001 6/9/2023
0.15.230531.5-preview 22,108 6/1/2023
0.14.547.1-preview 20,638 5/16/2023
0.13.442.1-preview 19,790 5/9/2023
0.13.277.1-preview 14,875 4/25/2023
0.12.207.1-preview 3,041 4/19/2023
0.11.146.1-preview 3,682 4/12/2023
0.10.72.1-preview 3,812 4/4/2023
0.9.61.1-preview 2,698 3/28/2023
0.8.56.1-preview 1,252 3/27/2023
0.8.48.1-preview 14,082 3/18/2023
0.8.40.1-preview 678 3/14/2023
0.8.11.1-preview 821 3/1/2023