Microsoft.SemanticKernel
1.13.0
Prefix Reserved
dotnet add package Microsoft.SemanticKernel --version 1.13.0
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.13.0
<PackageReference Include="Microsoft.SemanticKernel" Version="1.13.0" />
paket add Microsoft.SemanticKernel --version 1.13.0
#r "nuget: Microsoft.SemanticKernel, 1.13.0"
// Install Microsoft.SemanticKernel as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel&version=1.13.0
// Install Microsoft.SemanticKernel as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel&version=1.13.0
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 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. |
.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.OpenAI (>= 1.13.0)
- Microsoft.SemanticKernel.Core (>= 1.13.0)
-
net8.0
- Microsoft.SemanticKernel.Connectors.OpenAI (>= 1.13.0)
- Microsoft.SemanticKernel.Core (>= 1.13.0)
NuGet packages (46)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:
Package | Downloads |
---|---|
AIForged.SDK
Package Description |
|
Hexalith.Infrastructure.AzureDevOps
Hexalith is a set of libraries to build a micro-service architecture. |
|
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 |
|
TianFeng.Framework
天枫 .net core 组件,7.0以上版本适配.net6,7.1以上版本适配.net7,8.0及以上版本适配.net8 |
|
HexaEightGPTMiddleware
Control An AI Assistant like CHATGPT using this Library. Integrate This Library With HexaEight Middleware to create API that produce controlled AI responses |
GitHub repositories (22)
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/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
|
|
SciSharp/BotSharp
The AI 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.
|
Version | Downloads | Last updated |
---|---|---|
1.13.0 | 11,490 | 5/20/2024 |
1.12.0 | 5,150 | 5/16/2024 |
1.11.1 | 7,255 | 5/10/2024 |
1.11.0 | 2,015 | 5/8/2024 |
1.10.0 | 17,807 | 4/29/2024 |
1.9.0 | 7,462 | 4/24/2024 |
1.8.0 | 5,840 | 4/22/2024 |
1.7.1 | 29,506 | 4/5/2024 |
1.7.0 | 4,090 | 4/3/2024 |
1.6.3 | 22,003 | 3/19/2024 |
1.6.2 | 11,201 | 3/14/2024 |
1.6.1 | 5,464 | 3/12/2024 |
1.5.0 | 30,603 | 2/27/2024 |
1.4.0 | 43,151 | 2/14/2024 |
1.3.1 | 7,070 | 2/12/2024 |
1.3.0 | 35,110 | 1/31/2024 |
1.2.0 | 14,956 | 1/24/2024 |
1.1.0 | 56,436 | 1/16/2024 |
1.0.1 | 56,450 | 12/18/2023 |
1.0.0-rc4 | 4,188 | 12/13/2023 |
1.0.0-rc3 | 9,142 | 12/6/2023 |
1.0.0-rc2 | 1,034 | 12/5/2023 |
1.0.0-rc1 | 2,831 | 12/5/2023 |
1.0.0-beta8 | 75,939 | 11/16/2023 |
1.0.0-beta7 | 3,843 | 11/16/2023 |
1.0.0-beta6 | 14,676 | 11/9/2023 |
1.0.0-beta5 | 6,038 | 11/6/2023 |
1.0.0-beta4 | 10,277 | 10/30/2023 |
1.0.0-beta3 | 13,075 | 10/23/2023 |
1.0.0-beta2 | 10,881 | 10/16/2023 |
1.0.0-beta1 | 16,808 | 10/9/2023 |
0.24.230918.1-preview | 91,056 | 9/18/2023 |
0.24.230912.2-preview | 10,005 | 9/12/2023 |
0.24.230911.2-preview | 1,072 | 9/11/2023 |
0.23.230906.2-preview | 51,843 | 9/7/2023 |
0.22.230905.3-preview | 4,358 | 9/5/2023 |
0.21.230828.2-preview | 18,589 | 8/28/2023 |
0.20.230821.4-preview | 10,350 | 8/21/2023 |
0.19.230804.2-preview | 101,087 | 8/5/2023 |
0.18.230725.3-preview | 47,038 | 7/25/2023 |
0.17.230718.1-preview | 26,814 | 7/18/2023 |
0.17.230711.7-preview | 79,098 | 7/11/2023 |
0.17.230704.3-preview | 41,061 | 7/4/2023 |
0.17.230629.1-preview | 8,178 | 6/29/2023 |
0.17.230626.1-preview | 2,802 | 6/26/2023 |
0.16.230615.1-preview | 21,283 | 6/16/2023 |
0.15.231219.1-preview | 394 | 12/19/2023 |
0.15.230609.2-preview | 5,931 | 6/9/2023 |
0.15.230531.5-preview | 21,003 | 6/1/2023 |
0.14.547.1-preview | 20,004 | 5/16/2023 |
0.13.442.1-preview | 19,273 | 5/9/2023 |
0.13.277.1-preview | 13,958 | 4/25/2023 |
0.12.207.1-preview | 2,936 | 4/19/2023 |
0.11.146.1-preview | 3,578 | 4/12/2023 |
0.10.72.1-preview | 3,340 | 4/4/2023 |
0.9.61.1-preview | 2,566 | 3/28/2023 |
0.8.56.1-preview | 1,206 | 3/27/2023 |
0.8.48.1-preview | 13,932 | 3/18/2023 |
0.8.40.1-preview | 636 | 3/14/2023 |
0.8.11.1-preview | 769 | 3/1/2023 |