Microsoft.SemanticKernel
                             
                            
                                0.16.230615.1-preview
                            
                        
                            
                                
                                
                                    Prefix Reserved
                                
                            
                    See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 0.16.230615.1-preview
NuGet\Install-Package Microsoft.SemanticKernel -Version 0.16.230615.1-preview
<PackageReference Include="Microsoft.SemanticKernel" Version="0.16.230615.1-preview" />
<PackageVersion Include="Microsoft.SemanticKernel" Version="0.16.230615.1-preview" />
<PackageReference Include="Microsoft.SemanticKernel" />
paket add Microsoft.SemanticKernel --version 0.16.230615.1-preview
#r "nuget: Microsoft.SemanticKernel, 0.16.230615.1-preview"
#:package Microsoft.SemanticKernel@0.16.230615.1-preview
#addin nuget:?package=Microsoft.SemanticKernel&version=0.16.230615.1-preview&prerelease
#tool nuget:?package=Microsoft.SemanticKernel&version=0.16.230615.1-preview&prerelease
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 ⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
| Product | Versions 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 was computed. 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. | 
- 
                                                    .NETStandard 2.0- Microsoft.SemanticKernel.Connectors.AI.OpenAI (>= 0.16.230615.1-preview)
- Microsoft.SemanticKernel.Core (>= 0.16.230615.1-preview)
- Microsoft.SemanticKernel.Planning.ActionPlanner (>= 0.16.230615.1-preview)
- Microsoft.SemanticKernel.Planning.SequentialPlanner (>= 0.16.230615.1-preview)
 
NuGet packages (119)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:
| Package | Downloads | 
|---|---|
| Kentico.Xperience.Admin Contains the administration interface used to manage Xperience by Kentico applications. | |
| 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 (47)
Showing the top 20 popular GitHub repositories that depend on Microsoft.SemanticKernel:
| Repository | Stars | 
|---|---|
| microsoft/PowerToys 
                                                            Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks
                                                         | |
| 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
                                                         | |
| 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/kernel-memory 
                                                            RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
                                                         | |
| microsoft/Generative-AI-for-beginners-dotnet 
                                                            Five lessons, learn how to really apply AI to your .NET Applications
                                                         | |
| 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
                                                         | |
| DearVa/Everywhere 
                                                            A context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating multiple LLMs and MCP tools.
                                                         | |
| drasi-project/drasi-platform 
                                                            The Data Change Processing platform
                                                         | |
| 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.
                                                         | |
| microsoft/sqltoolsservice 
                                                            SQL Tools API service that provides SQL Server data management capabilities.
                                                         | |
| AIDotNet/koala-ai 
                                                            基于.NET8+React实现的企业级智能客服知识库
                                                         | |
| 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.
                                                         | |
| 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!
                                                         | 
| Version | Downloads | Last Updated | 
|---|---|---|
| 1.66.0 | 85,812 | 10/8/2025 | 
| 1.65.0 | 207,252 | 9/10/2025 | 
| 1.64.0 | 153,895 | 8/27/2025 | 
| 1.63.0 | 69,690 | 8/20/2025 | 
| 1.62.0 | 72,360 | 8/12/2025 | 
| 1.61.0 | 137,493 | 7/24/2025 | 
| 1.60.0 | 133,824 | 7/8/2025 | 
| 1.59.0 | 63,456 | 7/1/2025 | 
| 1.58.0 | 47,446 | 6/25/2025 | 
| 1.57.0 | 63,424 | 6/16/2025 | 
| 1.56.0 | 43,597 | 6/10/2025 | 
| 1.55.0 | 167,519 | 6/3/2025 | 
| 1.54.0 | 130,644 | 5/22/2025 | 
| 1.53.1 | 16,665 | 5/21/2025 | 
| 1.52.0 | 14,578 | 5/19/2025 | 
| 1.51.0 | 43,925 | 5/16/2025 | 
| 1.50.0 | 18,797 | 5/14/2025 | 
| 1.49.0 | 41,760 | 5/8/2025 | 
| 1.48.0 | 67,326 | 4/29/2025 | 
| 1.47.0 | 121,339 | 4/17/2025 | 
| 1.46.0 | 66,245 | 4/11/2025 | 
| 1.45.0 | 189,578 | 4/3/2025 | 
| 1.44.0 | 70,530 | 3/26/2025 | 
| 1.43.0 | 15,483 | 3/25/2025 | 
| 1.42.0 | 48,684 | 3/18/2025 | 
| 1.41.0 | 40,610 | 3/11/2025 | 
| 1.40.1 | 55,970 | 3/3/2025 | 
| 1.40.0 | 39,695 | 2/28/2025 | 
| 1.39.0 | 38,919 | 2/25/2025 | 
| 1.38.0 | 69,419 | 2/20/2025 | 
| 1.37.0 | 62,722 | 2/12/2025 | 
| 1.36.1 | 24,469 | 2/7/2025 | 
| 1.36.0 | 35,363 | 2/4/2025 | 
| 1.35.0 | 104,930 | 1/28/2025 | 
| 1.34.0 | 72,775 | 1/22/2025 | 
| 1.33.0 | 146,101 | 1/7/2025 | 
| 1.32.0 | 131,188 | 12/9/2024 | 
| 1.31.0 | 90,119 | 11/27/2024 | 
| 1.30.0 | 72,992 | 11/19/2024 | 
| 1.29.0 | 89,162 | 11/13/2024 | 
| 1.28.0 | 37,609 | 11/7/2024 | 
| 1.27.0 | 17,370 | 11/5/2024 | 
| 1.26.0 | 36,311 | 10/31/2024 | 
| 1.25.0 | 96,280 | 10/23/2024 | 
| 1.24.1 | 30,651 | 10/18/2024 | 
| 1.23.0 | 7,588 | 10/17/2024 | 
| 1.22.0 | 72,337 | 10/8/2024 | 
| 1.21.1 | 85,119 | 9/25/2024 | 
| 1.21.0 | 3,670 | 9/25/2024 | 
| 1.20.0 | 100,257 | 9/17/2024 | 
| 1.19.0 | 26,204 | 9/10/2024 | 
| 1.18.2 | 50,336 | 9/4/2024 | 
| 1.18.1-rc | 32,531 | 8/27/2024 | 
| 1.18.0-rc | 7,191 | 8/12/2024 | 
| 1.17.2 | 155,448 | 8/21/2024 | 
| 1.17.1 | 99,135 | 8/7/2024 | 
| 1.17.0 | 7,312 | 8/7/2024 | 
| 1.16.2 | 43,892 | 7/30/2024 | 
| 1.16.1 | 39,024 | 7/23/2024 | 
| 1.16.0 | 43,726 | 7/16/2024 | 
| 1.15.1 | 103,434 | 7/3/2024 | 
| 1.15.0 | 94,706 | 6/19/2024 | 
| 1.14.1 | 78,759 | 6/5/2024 | 
| 1.14.0 | 7,895 | 6/4/2024 | 
| 1.13.0 | 91,954 | 5/20/2024 | 
| 1.12.0 | 18,266 | 5/16/2024 | 
| 1.11.1 | 32,244 | 5/10/2024 | 
| 1.11.0 | 5,593 | 5/8/2024 | 
| 1.10.0 | 58,516 | 4/29/2024 | 
| 1.9.0 | 58,316 | 4/24/2024 | 
| 1.8.0 | 13,606 | 4/22/2024 | 
| 1.7.1 | 60,341 | 4/5/2024 | 
| 1.7.0 | 17,822 | 4/3/2024 | 
| 1.6.3 | 73,083 | 3/19/2024 | 
| 1.6.2 | 29,165 | 3/14/2024 | 
| 1.6.1 | 7,111 | 3/12/2024 | 
| 1.5.0 | 54,706 | 2/27/2024 | 
| 1.4.0 | 97,004 | 2/14/2024 | 
| 1.3.1 | 23,207 | 2/12/2024 | 
| 1.3.0 | 84,696 | 1/31/2024 | 
| 1.2.0 | 33,860 | 1/24/2024 | 
| 1.1.0 | 68,158 | 1/16/2024 | 
| 1.0.1 | 121,984 | 12/18/2023 | 
| 1.0.0-rc4 | 5,225 | 12/13/2023 | 
| 1.0.0-rc3 | 11,866 | 12/6/2023 | 
| 1.0.0-rc2 | 1,318 | 12/5/2023 | 
| 1.0.0-rc1 | 3,357 | 12/5/2023 | 
| 1.0.0-beta8 | 117,445 | 11/16/2023 | 
| 1.0.0-beta7 | 15,565 | 11/16/2023 | 
| 1.0.0-beta6 | 17,882 | 11/9/2023 | 
| 1.0.0-beta5 | 13,682 | 11/6/2023 | 
| 1.0.0-beta4 | 13,520 | 10/30/2023 | 
| 1.0.0-beta3 | 19,044 | 10/23/2023 | 
| 1.0.0-beta2 | 16,143 | 10/16/2023 | 
| 1.0.0-beta1 | 18,089 | 10/9/2023 | 
| 0.24.230918.1-preview | 190,023 | 9/18/2023 | 
| 0.24.230912.2-preview | 11,914 | 9/12/2023 | 
| 0.24.230911.2-preview | 1,351 | 9/11/2023 | 
| 0.23.230906.2-preview | 52,556 | 9/7/2023 | 
| 0.22.230905.3-preview | 5,641 | 9/5/2023 | 
| 0.21.230828.2-preview | 27,264 | 8/28/2023 | 
| 0.20.230821.4-preview | 12,885 | 8/21/2023 | 
| 0.19.230804.2-preview | 110,192 | 8/5/2023 | 
| 0.18.230725.3-preview | 59,557 | 7/25/2023 | 
| 0.17.230718.1-preview | 57,026 | 7/18/2023 | 
| 0.17.230711.7-preview | 80,496 | 7/11/2023 | 
| 0.17.230704.3-preview | 42,762 | 7/4/2023 | 
| 0.17.230629.1-preview | 8,861 | 6/29/2023 | 
| 0.17.230626.1-preview | 4,725 | 6/26/2023 | 
| 0.16.230615.1-preview | 26,343 | 6/16/2023 | 
| 0.15.231219.1-preview | 580 | 12/19/2023 | 
| 0.15.230609.2-preview | 7,782 | 6/9/2023 | 
| 0.15.230531.5-preview | 23,946 | 6/1/2023 | 
| 0.14.547.1-preview | 21,997 | 5/16/2023 | 
| 0.13.442.1-preview | 20,174 | 5/9/2023 | 
| 0.13.277.1-preview | 18,815 | 4/25/2023 | 
| 0.12.207.1-preview | 3,195 | 4/19/2023 | 
| 0.11.146.1-preview | 4,077 | 4/12/2023 | 
| 0.10.72.1-preview | 4,585 | 4/4/2023 | 
| 0.9.61.1-preview | 2,871 | 3/28/2023 | 
| 0.8.56.1-preview | 1,380 | 3/27/2023 | 
| 0.8.48.1-preview | 14,241 | 3/18/2023 | 
| 0.8.40.1-preview | 809 | 3/14/2023 | 
| 0.8.11.1-preview | 945 | 3/1/2023 |