Microsoft.SemanticKernel 1.62.0

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 1.62.0
                    


                    

                
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.62.0
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="1.62.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.SemanticKernel" Version="1.62.0" />
                    


                            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 1.62.0
                    


                    

                
#r "nuget: Microsoft.SemanticKernel, 1.62.0"
#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. 
#:package Microsoft.SemanticKernel@1.62.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Microsoft.SemanticKernel&version=1.62.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.SemanticKernel&version=1.62.0
                    


                            Install 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.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-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 (106)

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

Package Downloads
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.
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

GitHub repositories (41)

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
AIDotNet/OpenDeepWiki
OpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.
microsoft/Generative-AI-for-beginners-dotnet
Five lessons, learn how to really apply AI to your .NET Applications
dotnet/ai-samples
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.
microsoft/node-api-dotnet
Advanced interoperability between .NET and JavaScript in the same process.
AIDotNet/koala-ai
基于.NET8+React实现的企业级智能客服知识库
Richasy/FantasyCopilot
A new-age AI desktop tool
microsoft/semantic-kernel-starters
Starter Projects for Semantic Kernel
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.
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！
syncfusion/wpf-demos
This repository contains the samples for Syncfusion WPF UI Controls and File Format libraries and the guide to use them.
microsoft/project-oagents
Experimental AI Agents Framework
239573049/ChatGpt.Desktop
ChatGpt Dekstop support Android，IOS，Mac，Linux，Win，Web
Version Downloads Last Updated
1.62.0 643 8/12/2025
1.61.0 6,427 7/24/2025
1.60.0 20,354 7/8/2025
1.59.0 22,064 7/1/2025
1.58.0 22,182 6/25/2025
1.57.0 28,784 6/16/2025
1.56.0 24,633 6/10/2025
1.55.0 53,025 6/3/2025
1.54.0 69,794 5/22/2025
1.53.1 9,644 5/21/2025
1.52.0 7,992 5/19/2025
1.51.0 25,479 5/16/2025
1.50.0 11,721 5/14/2025
1.49.0 27,050 5/8/2025
1.48.0 45,878 4/29/2025
1.47.0 96,680 4/17/2025
1.46.0 44,318 4/11/2025
1.45.0 104,934 4/3/2025
1.44.0 44,237 3/26/2025
1.43.0 12,924 3/25/2025
1.42.0 34,427 3/18/2025
1.41.0 32,174 3/11/2025
1.40.1 45,409 3/3/2025
1.40.0 20,549 2/28/2025
1.39.0 30,022 2/25/2025
1.38.0 40,741 2/20/2025
1.37.0 45,991 2/12/2025
1.36.1 20,445 2/7/2025
1.36.0 25,798 2/4/2025
1.35.0 79,046 1/28/2025
1.34.0 54,397 1/22/2025
1.33.0 125,955 1/7/2025
1.32.0 114,019 12/9/2024
1.31.0 69,251 11/27/2024
1.30.0 65,167 11/19/2024
1.29.0 83,288 11/13/2024
1.28.0 31,690 11/7/2024
1.27.0 14,682 11/5/2024
1.26.0 31,347 10/31/2024
1.25.0 88,843 10/23/2024
1.24.1 24,195 10/18/2024
1.23.0 5,820 10/17/2024
1.22.0 64,093 10/8/2024
1.21.1 80,936 9/25/2024
1.21.0 2,935 9/25/2024
1.20.0 78,067 9/17/2024
1.19.0 23,897 9/10/2024
1.18.2 41,565 9/4/2024
1.18.1-rc 26,639 8/27/2024
1.18.0-rc 6,281 8/12/2024
1.17.2 144,404 8/21/2024
1.17.1 93,005 8/7/2024
1.17.0 6,946 8/7/2024
1.16.2 39,970 7/30/2024
1.16.1 36,619 7/23/2024
1.16.0 38,570 7/16/2024
1.15.1 94,062 7/3/2024
1.15.0 88,957 6/19/2024
1.14.1 74,610 6/5/2024
1.14.0 7,178 6/4/2024
1.13.0 88,752 5/20/2024
1.12.0 16,719 5/16/2024
1.11.1 29,923 5/10/2024
1.11.0 5,145 5/8/2024
1.10.0 54,898 4/29/2024
1.9.0 49,070 4/24/2024
1.8.0 12,991 4/22/2024
1.7.1 58,314 4/5/2024
1.7.0 17,399 4/3/2024
1.6.3 70,618 3/19/2024
1.6.2 27,541 3/14/2024
1.6.1 6,642 3/12/2024
1.5.0 51,370 2/27/2024
1.4.0 89,391 2/14/2024
1.3.1 19,299 2/12/2024
1.3.0 77,800 1/31/2024
1.2.0 30,894 1/24/2024
1.1.0 67,199 1/16/2024
1.0.1 101,146 12/18/2023
1.0.0-rc4 5,026 12/13/2023
1.0.0-rc3 11,364 12/6/2023
1.0.0-rc2 1,192 12/5/2023
1.0.0-rc1 3,172 12/5/2023
1.0.0-beta8 113,468 11/16/2023
1.0.0-beta7 13,392 11/16/2023
1.0.0-beta6 17,121 11/9/2023
1.0.0-beta5 12,156 11/6/2023
1.0.0-beta4 13,364 10/30/2023
1.0.0-beta3 18,067 10/23/2023
1.0.0-beta2 15,873 10/16/2023
1.0.0-beta1 17,949 10/9/2023
0.24.230918.1-preview 185,551 9/18/2023
0.24.230912.2-preview 11,533 9/12/2023
0.24.230911.2-preview 1,342 9/11/2023
0.23.230906.2-preview 52,480 9/7/2023
0.22.230905.3-preview 5,483 9/5/2023
0.21.230828.2-preview 25,529 8/28/2023
0.20.230821.4-preview 11,572 8/21/2023
0.19.230804.2-preview 109,175 8/5/2023
0.18.230725.3-preview 58,855 7/25/2023
0.17.230718.1-preview 51,333 7/18/2023
0.17.230711.7-preview 80,409 7/11/2023
0.17.230704.3-preview 42,641 7/4/2023
0.17.230629.1-preview 8,773 6/29/2023
0.17.230626.1-preview 4,347 6/26/2023
0.16.230615.1-preview 24,991 6/16/2023
0.15.231219.1-preview 527 12/19/2023
0.15.230609.2-preview 7,076 6/9/2023
0.15.230531.5-preview 23,380 6/1/2023
0.14.547.1-preview 21,765 5/16/2023
0.13.442.1-preview 20,015 5/9/2023
0.13.277.1-preview 17,383 4/25/2023
0.12.207.1-preview 3,117 4/19/2023
0.11.146.1-preview 3,950 4/12/2023
0.10.72.1-preview 4,249 4/4/2023
0.9.61.1-preview 2,793 3/28/2023
0.8.56.1-preview 1,315 3/27/2023
0.8.48.1-preview 14,170 3/18/2023
0.8.40.1-preview 745 3/14/2023
0.8.11.1-preview 886 3/1/2023