Microsoft.SemanticKernel.Core 0.13.277.1-preview

Prefix Reserved
.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of Microsoft.SemanticKernel.Core.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Microsoft.SemanticKernel.Core --version 0.13.277.1-preview                

                    
                

            
NuGet\Install-Package Microsoft.SemanticKernel.Core -Version 0.13.277.1-preview
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.Core" Version="0.13.277.1-preview" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.SemanticKernel.Core --version 0.13.277.1-preview                

                    
                

            
#r "nuget: Microsoft.SemanticKernel.Core, 0.13.277.1-preview"
#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.Core as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Core&version=0.13.277.1-preview&prerelease

// Install Microsoft.SemanticKernel.Core as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Core&version=0.13.277.1-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.

SK supports prompt templating, function chaining, vectorized memory, and intelligent planning capabilities out of the box.

Semantic Kernel is designed to support and encapsulate several design patterns from the latest in AI research, such that developers can infuse their applications with complex skills like prompt chaining, recursive reasoning, summarization, zero/few-shot learning, contextual memory, long-term memory, embeddings, semantic indexing, planning, and accessing external knowledge stores as well as your own data.

A skill refers to a domain of expertise made available to the kernel as a single function, or as a group of functions related to the skill. The design of SK skills has prioritized maximum flexibility for the developer to be both lightweight and extensible.

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 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. 
.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.Core:

Package Downloads
Microsoft.SemanticKernel

Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2. Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps.
Microsoft.SemanticKernel.Connectors.OpenAI

Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
Microsoft.SemanticKernel.Connectors.AzureOpenAI

Semantic Kernel connectors for Azure OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
Microsoft.SemanticKernel.PromptTemplates.Handlebars

Semantic Kernel Handlebars Prompt Template Engine
Microsoft.SemanticKernel.Plugins.Core

Semantic Kernel core plugins.

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on Microsoft.SemanticKernel.Core:

Repository Stars
dotnet/ai-samples
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！
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
kbeaugrand/SemanticKernel.Assistants
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
Version Downloads Last updated
1.37.0 5,592 2/12/2025
1.36.1 9,392 2/7/2025
1.36.0 6,446 2/4/2025
1.35.0 15,999 1/28/2025
1.34.0 11,236 1/22/2025
1.33.0 51,567 1/7/2025
1.32.0 70,481 12/9/2024
1.31.0 36,085 11/27/2024
1.30.0 46,811 11/19/2024
1.29.0 93,330 11/13/2024
1.28.0 28,075 11/7/2024
1.27.0 12,868 11/5/2024
1.26.0 55,736 10/31/2024
1.25.0 76,587 10/23/2024
1.24.1 52,702 10/18/2024
1.23.0 5,699 10/17/2024
1.22.0 56,609 10/8/2024
1.21.1 92,030 9/25/2024
1.21.0 1,693 9/25/2024
1.20.0 54,021 9/17/2024
1.19.0 23,364 9/10/2024
1.18.2 64,545 9/4/2024
1.18.1-rc 23,219 8/27/2024
1.18.0-rc 21,653 8/12/2024
1.17.2 128,234 8/21/2024
1.17.1 100,402 8/7/2024
1.17.0 13,373 8/7/2024
1.16.2 41,664 7/30/2024
1.16.1 38,574 7/23/2024
1.16.0 37,681 7/16/2024
1.15.1 111,579 7/3/2024
1.15.0 86,153 6/19/2024
1.14.1 109,981 6/5/2024
1.14.0 32,766 6/4/2024
1.13.0 96,934 5/20/2024
1.12.0 17,453 5/16/2024
1.11.1 93,220 5/10/2024
1.11.0 5,449 5/8/2024
1.10.0 95,728 4/29/2024
1.9.0 51,320 4/24/2024
1.8.0 17,779 4/22/2024
1.7.1 73,846 4/5/2024
1.7.0 41,061 4/3/2024
1.6.3 90,085 3/19/2024
1.6.2 90,050 3/14/2024
1.6.1 15,651 3/12/2024
1.5.0 84,171 2/27/2024
1.4.0 121,587 2/14/2024
1.3.1 22,194 2/12/2024
1.3.0 89,267 1/31/2024
1.2.0 33,431 1/24/2024
1.1.0 100,618 1/16/2024
1.0.1 105,103 12/18/2023
1.0.0-rc4 9,182 12/13/2023
1.0.0-rc3 21,581 12/6/2023
1.0.0-rc2 4,279 12/5/2023
1.0.0-rc1 4,414 12/5/2023
1.0.0-beta8 128,186 11/16/2023
1.0.0-beta7 22,039 11/16/2023
1.0.0-beta6 19,807 11/9/2023
1.0.0-beta5 10,789 11/6/2023
1.0.0-beta4 21,880 10/30/2023
1.0.0-beta3 18,086 10/23/2023
1.0.0-beta2 16,995 10/16/2023
1.0.0-beta1 19,047 10/9/2023
0.24.230918.1-preview 104,256 9/18/2023
0.24.230912.2-preview 12,153 9/12/2023
0.24.230911.2-preview 1,360 9/11/2023
0.23.230906.2-preview 10,002 9/7/2023
0.22.230905.3-preview 5,263 9/5/2023
0.21.230828.2-preview 22,874 8/28/2023
0.20.230821.4-preview 13,001 8/21/2023
0.19.230804.2-preview 106,888 8/5/2023
0.18.230725.3-preview 59,676 7/25/2023
0.17.230718.1-preview 72,683 7/18/2023
0.17.230711.7-preview 84,568 7/11/2023
0.17.230704.3-preview 43,003 7/4/2023
0.17.230629.1-preview 8,536 6/29/2023
0.17.230626.1-preview 3,681 6/26/2023
0.16.230615.1-preview 24,287 6/16/2023
0.15.231219.1-preview 5,488 12/19/2023
0.15.230609.2-preview 7,498 6/9/2023
0.15.230531.5-preview 23,802 6/1/2023
0.14.547.1-preview 23,611 5/16/2023
0.13.442.1-preview 37,462 5/9/2023
0.13.277.1-preview 15,218 4/25/2023
0.12.207.1-preview 3,452 4/19/2023