Microsoft.SemanticKernel.Core 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
.NET Standard 2.0
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There is a newer version of this package available.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. 
.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 (48)

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

Package Downloads
Microsoft.SemanticKernel The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

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

Semantic Kernel connectors for OpenAI and Azure OpenAI. Contains clients for text completion, chat completion, embedding and DALL-E image generation.
Microsoft.SemanticKernel.Connectors.OpenAI The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Semantic Kernel connectors for OpenAI and Azure OpenAI. Contains clients for text generation, chat completion, embedding and DALL-E text to image.
Microsoft.SemanticKernel.Plugins.Memory The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Semantic Kernel Memory Plugin
Microsoft.SemanticKernel.Plugins.Core The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Semantic Kernel core plugins.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on Microsoft.SemanticKernel.Core:

Repository Stars
AIDotNet/AntSK
基于.Net8+AntBlazor+SemanticKernel 和KernelMemory 打造的AI知识库/智能体，支持本地离线AI大模型。可以不联网离线运行。
AIDotNet/fast-wiki
基于.NET8+React+LobeUI实现的企业级智能客服知识库
Version Downloads Last updated
1.11.0 264 5/8/2024
1.10.0 8,819 4/29/2024
1.9.0 6,359 4/24/2024
1.8.0 6,194 4/22/2024
1.7.1 25,137 4/5/2024
1.7.0 14,955 4/3/2024
1.6.3 34,552 3/19/2024
1.6.2 22,245 3/14/2024
1.6.1 9,043 3/12/2024
1.5.0 49,507 2/27/2024
1.4.0 64,293 2/14/2024
1.3.1 9,089 2/12/2024
1.3.0 53,251 1/31/2024
1.2.0 21,297 1/24/2024
1.1.0 72,360 1/16/2024
1.0.1 68,188 12/18/2023
1.0.0-rc4 6,611 12/13/2023
1.0.0-rc3 15,916 12/6/2023
1.0.0-rc2 3,660 12/5/2023
1.0.0-rc1 3,608 12/5/2023
1.0.0-beta8 85,706 11/16/2023
1.0.0-beta7 14,213 11/16/2023
1.0.0-beta6 16,433 11/9/2023
1.0.0-beta5 6,212 11/6/2023
1.0.0-beta4 11,665 10/30/2023
1.0.0-beta3 14,754 10/23/2023
1.0.0-beta2 11,780 10/16/2023
1.0.0-beta1 17,781 10/9/2023
0.24.230918.1-preview 73,903 9/18/2023
0.24.230912.2-preview 9,973 9/12/2023
0.24.230911.2-preview 1,201 9/11/2023
0.23.230906.2-preview 9,373 9/7/2023
0.22.230905.3-preview 4,725 9/5/2023
0.21.230828.2-preview 18,660 8/28/2023
0.20.230821.4-preview 11,540 8/21/2023
0.19.230804.2-preview 100,280 8/5/2023
0.18.230725.3-preview 48,451 7/25/2023
0.17.230718.1-preview 47,428 7/18/2023
0.17.230711.7-preview 82,585 7/11/2023
0.17.230704.3-preview 41,515 7/4/2023
0.17.230629.1-preview 8,141 6/29/2023
0.17.230626.1-preview 3,322 6/26/2023
0.16.230615.1-preview 21,423 6/16/2023
0.15.231219.1-preview 2,211 12/19/2023
0.15.230609.2-preview 6,323 6/9/2023
0.15.230531.5-preview 22,314 6/1/2023
0.14.547.1-preview 22,080 5/16/2023
0.13.442.1-preview 24,626 5/9/2023
0.13.277.1-preview 14,322 4/25/2023
0.12.207.1-preview 3,322 4/19/2023