Microsoft.SemanticKernel
1.7.0
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 1.7.0
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.7.0
<PackageReference Include="Microsoft.SemanticKernel" Version="1.7.0" />
paket add Microsoft.SemanticKernel --version 1.7.0
#r "nuget: Microsoft.SemanticKernel, 1.7.0"
// Install Microsoft.SemanticKernel as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel&version=1.7.0 // Install Microsoft.SemanticKernel as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel&version=1.7.0
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 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. |
-
.NETStandard 2.0
- Microsoft.SemanticKernel.Connectors.OpenAI (>= 1.7.0)
- Microsoft.SemanticKernel.Core (>= 1.7.0)
NuGet packages (67)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:
Package | Downloads |
---|---|
FonsecaFramework.Ai
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 |
|
AutoGen.SemanticKernel
This package contains the semantic kernel integration for AutoGen |
|
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 (29)
Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel:
Repository | Stars |
---|---|
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
|
|
elsa-workflows/elsa-core
A .NET workflows library
|
|
dotnet/eShop
A reference .NET application implementing an eCommerce site
|
|
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.
|
Version | Downloads | Last updated |
---|---|---|
1.29.0 | 1,883 | 11/13/2024 |
1.28.0 | 7,636 | 11/7/2024 |
1.27.0 | 4,741 | 11/5/2024 |
1.26.0 | 7,453 | 10/31/2024 |
1.25.0 | 18,763 | 10/23/2024 |
1.24.1 | 7,826 | 10/18/2024 |
1.23.0 | 2,395 | 10/17/2024 |
1.22.0 | 20,559 | 10/8/2024 |
1.21.1 | 30,813 | 9/25/2024 |
1.21.0 | 873 | 9/25/2024 |
1.20.0 | 18,201 | 9/17/2024 |
1.19.0 | 12,998 | 9/10/2024 |
1.18.2 | 28,506 | 9/4/2024 |
1.18.1-rc | 7,480 | 8/27/2024 |
1.18.0-rc | 4,054 | 8/12/2024 |
1.17.2 | 67,757 | 8/21/2024 |
1.17.1 | 62,717 | 8/7/2024 |
1.17.0 | 5,066 | 8/7/2024 |
1.16.2 | 23,279 | 7/30/2024 |
1.16.1 | 26,084 | 7/23/2024 |
1.16.0 | 23,351 | 7/16/2024 |
1.15.1 | 59,826 | 7/3/2024 |
1.15.0 | 64,516 | 6/19/2024 |
1.14.1 | 58,167 | 6/5/2024 |
1.14.0 | 5,050 | 6/4/2024 |
1.13.0 | 70,389 | 5/20/2024 |
1.12.0 | 13,565 | 5/16/2024 |
1.11.1 | 19,132 | 5/10/2024 |
1.11.0 | 3,966 | 5/8/2024 |
1.10.0 | 40,238 | 4/29/2024 |
1.9.0 | 26,478 | 4/24/2024 |
1.8.0 | 9,730 | 4/22/2024 |
1.7.1 | 48,858 | 4/5/2024 |
1.7.0 | 11,120 | 4/3/2024 |
1.6.3 | 46,885 | 3/19/2024 |
1.6.2 | 18,528 | 3/14/2024 |
1.6.1 | 5,834 | 3/12/2024 |
1.5.0 | 40,754 | 2/27/2024 |
1.4.0 | 67,535 | 2/14/2024 |
1.3.1 | 12,198 | 2/12/2024 |
1.3.0 | 56,361 | 1/31/2024 |
1.2.0 | 22,871 | 1/24/2024 |
1.1.0 | 65,371 | 1/16/2024 |
1.0.1 | 69,491 | 12/18/2023 |
1.0.0-rc4 | 4,719 | 12/13/2023 |
1.0.0-rc3 | 10,656 | 12/6/2023 |
1.0.0-rc2 | 1,090 | 12/5/2023 |
1.0.0-rc1 | 2,944 | 12/5/2023 |
1.0.0-beta8 | 99,301 | 11/16/2023 |
1.0.0-beta7 | 6,760 | 11/16/2023 |
1.0.0-beta6 | 15,621 | 11/9/2023 |
1.0.0-beta5 | 8,915 | 11/6/2023 |
1.0.0-beta4 | 11,834 | 10/30/2023 |
1.0.0-beta3 | 15,169 | 10/23/2023 |
1.0.0-beta2 | 13,248 | 10/16/2023 |
1.0.0-beta1 | 17,427 | 10/9/2023 |
0.24.230918.1-preview | 113,464 | 9/18/2023 |
0.24.230912.2-preview | 10,800 | 9/12/2023 |
0.24.230911.2-preview | 1,168 | 9/11/2023 |
0.23.230906.2-preview | 52,097 | 9/7/2023 |
0.22.230905.3-preview | 4,806 | 9/5/2023 |
0.21.230828.2-preview | 20,510 | 8/28/2023 |
0.20.230821.4-preview | 11,364 | 8/21/2023 |
0.19.230804.2-preview | 104,779 | 8/5/2023 |
0.18.230725.3-preview | 54,404 | 7/25/2023 |
0.17.230718.1-preview | 36,308 | 7/18/2023 |
0.17.230711.7-preview | 79,629 | 7/11/2023 |
0.17.230704.3-preview | 41,864 | 7/4/2023 |
0.17.230629.1-preview | 8,393 | 6/29/2023 |
0.17.230626.1-preview | 3,069 | 6/26/2023 |
0.16.230615.1-preview | 23,386 | 6/16/2023 |
0.15.231219.1-preview | 466 | 12/19/2023 |
0.15.230609.2-preview | 6,807 | 6/9/2023 |
0.15.230531.5-preview | 21,636 | 6/1/2023 |
0.14.547.1-preview | 20,437 | 5/16/2023 |
0.13.442.1-preview | 19,700 | 5/9/2023 |
0.13.277.1-preview | 14,658 | 4/25/2023 |
0.12.207.1-preview | 3,034 | 4/19/2023 |
0.11.146.1-preview | 3,650 | 4/12/2023 |
0.10.72.1-preview | 3,555 | 4/4/2023 |
0.9.61.1-preview | 2,673 | 3/28/2023 |
0.8.56.1-preview | 1,245 | 3/27/2023 |
0.8.48.1-preview | 14,052 | 3/18/2023 |
0.8.40.1-preview | 668 | 3/14/2023 |
0.8.11.1-preview | 806 | 3/1/2023 |