Microsoft.SemanticKernel 0.13.277.1-preview

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 0.13.277.1-preview
NuGet\Install-Package Microsoft.SemanticKernel -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" 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 --version 0.13.277.1-preview
#r "nuget: Microsoft.SemanticKernel, 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 as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel&version=0.13.277.1-preview&prerelease

// Install Microsoft.SemanticKernel as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel&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. 
.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 (44)

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

Package Downloads
Hexalith.Infrastructure.AzureDevOps

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

Senparc.AI.Kernel The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Senparc.AI 核心模块,目前为快速迭代,和 Senaprc.Weixin.AI 一起维护,V2.0 后期将独立项目 https://github.com/Senparc/Senaprc.Weixin.AI

HexaEightGPTMiddleware

Control An AI Assistant like CHATGPT using this Library. Integrate This Library With HexaEight Middleware to create API that produce controlled AI responses

AzureAI.Community.Microsoft.Semantic.Kernel.Speech

Azure AI Community Microsoft Semantic Kernel Speech Plugin

MyIA.SemanticKernel.Connectors.AI.Oobabooga

Semantic Kernel connector for the oobabooga text-generation-webui open source project. Contains a client for text completion and a client for chat completion.

GitHub repositories (20)

Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel:

Repository Stars
ServiceStack/ServiceStack
Thoughtfully architected, obscenely fast, thoroughly enjoyable web services for all
dotnet/eShop
A reference .NET application implementing an eCommerce site
SciSharp/BotSharp
The AI Agent Framework in .NET
SciSharp/LLamaSharp
A C#/.NET library to run LLM models (🦙LLaMA/LLaVA) on your local device efficiently.
microsoft/kernel-memory
Index and query any data using LLM and natural language, tracking sources and showing citations.
Version Downloads Last updated
1.10.0 1,292 4/29/2024
1.9.0 2,899 4/24/2024
1.8.0 4,085 4/22/2024
1.7.1 17,060 4/5/2024
1.7.0 2,635 4/3/2024
1.6.3 17,066 3/19/2024
1.6.2 8,527 3/14/2024
1.6.1 5,199 3/12/2024
1.5.0 24,484 2/27/2024
1.4.0 35,678 2/14/2024
1.3.1 5,959 2/12/2024
1.3.0 29,696 1/31/2024
1.2.0 13,042 1/24/2024
1.1.0 53,087 1/16/2024
1.0.1 52,870 12/18/2023
1.0.0-rc4 3,985 12/13/2023
1.0.0-rc3 8,861 12/6/2023
1.0.0-rc2 1,031 12/5/2023
1.0.0-rc1 2,815 12/5/2023
1.0.0-beta8 71,729 11/16/2023
1.0.0-beta7 3,465 11/16/2023
1.0.0-beta6 14,136 11/9/2023
1.0.0-beta5 5,741 11/6/2023
1.0.0-beta4 9,764 10/30/2023
1.0.0-beta3 12,406 10/23/2023
1.0.0-beta2 10,501 10/16/2023
1.0.0-beta1 16,496 10/9/2023
0.24.230918.1-preview 86,822 9/18/2023
0.24.230912.2-preview 9,810 9/12/2023
0.24.230911.2-preview 1,058 9/11/2023
0.23.230906.2-preview 51,801 9/7/2023
0.22.230905.3-preview 4,312 9/5/2023
0.21.230828.2-preview 18,062 8/28/2023
0.20.230821.4-preview 10,021 8/21/2023
0.19.230804.2-preview 99,919 8/5/2023
0.18.230725.3-preview 44,993 7/25/2023
0.17.230718.1-preview 25,037 7/18/2023
0.17.230711.7-preview 78,853 7/11/2023
0.17.230704.3-preview 40,651 7/4/2023
0.17.230629.1-preview 8,133 6/29/2023
0.17.230626.1-preview 2,792 6/26/2023
0.16.230615.1-preview 20,912 6/16/2023
0.15.231219.1-preview 391 12/19/2023
0.15.230609.2-preview 5,821 6/9/2023
0.15.230531.5-preview 20,802 6/1/2023
0.14.547.1-preview 19,913 5/16/2023
0.13.442.1-preview 19,159 5/9/2023
0.13.277.1-preview 13,923 4/25/2023
0.12.207.1-preview 2,921 4/19/2023
0.11.146.1-preview 3,571 4/12/2023
0.10.72.1-preview 3,315 4/4/2023
0.9.61.1-preview 2,516 3/28/2023
0.8.56.1-preview 1,204 3/27/2023
0.8.48.1-preview 13,878 3/18/2023
0.8.40.1-preview 629 3/14/2023
0.8.11.1-preview 767 3/1/2023