Microsoft.SemanticKernel
1.0.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 1.0.1
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.0.1
<PackageReference Include="Microsoft.SemanticKernel" Version="1.0.1" />
paket add Microsoft.SemanticKernel --version 1.0.1
#r "nuget: Microsoft.SemanticKernel, 1.0.1"
// Install Microsoft.SemanticKernel as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel&version=1.0.1 // Install Microsoft.SemanticKernel as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel&version=1.0.1
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 (>= 1.0.1)
- Microsoft.SemanticKernel.Core (>= 1.0.1)
NuGet packages (65)
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. |
|
AutoGen.SemanticKernel
This package contains the semantic kernel integration for AutoGen |
|
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 |
|
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 (31)
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
|
|
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.
|
|
SciSharp/BotSharp
AI Multi-Agent Framework in .NET
|
Version | Downloads | Last updated |
---|---|---|
1.32.0 | 1,402 | 12/9/2024 |
1.31.0 | 9,826 | 11/27/2024 |
1.30.0 | 13,769 | 11/19/2024 |
1.29.0 | 21,125 | 11/13/2024 |
1.28.0 | 13,017 | 11/7/2024 |
1.27.0 | 7,327 | 11/5/2024 |
1.26.0 | 12,698 | 10/31/2024 |
1.25.0 | 37,228 | 10/23/2024 |
1.24.1 | 10,175 | 10/18/2024 |
1.23.0 | 2,859 | 10/17/2024 |
1.22.0 | 27,831 | 10/8/2024 |
1.21.1 | 39,011 | 9/25/2024 |
1.21.0 | 963 | 9/25/2024 |
1.20.0 | 21,051 | 9/17/2024 |
1.19.0 | 15,309 | 9/10/2024 |
1.18.2 | 29,727 | 9/4/2024 |
1.18.1-rc | 9,367 | 8/27/2024 |
1.18.0-rc | 4,320 | 8/12/2024 |
1.17.2 | 80,593 | 8/21/2024 |
1.17.1 | 69,913 | 8/7/2024 |
1.17.0 | 5,350 | 8/7/2024 |
1.16.2 | 25,578 | 7/30/2024 |
1.16.1 | 28,673 | 7/23/2024 |
1.16.0 | 25,242 | 7/16/2024 |
1.15.1 | 65,283 | 7/3/2024 |
1.15.0 | 68,484 | 6/19/2024 |
1.14.1 | 60,180 | 6/5/2024 |
1.14.0 | 5,192 | 6/4/2024 |
1.13.0 | 73,331 | 5/20/2024 |
1.12.0 | 13,984 | 5/16/2024 |
1.11.1 | 20,244 | 5/10/2024 |
1.11.0 | 4,015 | 5/8/2024 |
1.10.0 | 42,418 | 4/29/2024 |
1.9.0 | 29,302 | 4/24/2024 |
1.8.0 | 10,180 | 4/22/2024 |
1.7.1 | 49,937 | 4/5/2024 |
1.7.0 | 12,059 | 4/3/2024 |
1.6.3 | 50,708 | 3/19/2024 |
1.6.2 | 19,946 | 3/14/2024 |
1.6.1 | 5,914 | 3/12/2024 |
1.5.0 | 41,954 | 2/27/2024 |
1.4.0 | 71,229 | 2/14/2024 |
1.3.1 | 12,855 | 2/12/2024 |
1.3.0 | 59,320 | 1/31/2024 |
1.2.0 | 23,794 | 1/24/2024 |
1.1.0 | 65,701 | 1/16/2024 |
1.0.1 | 72,958 | 12/18/2023 |
1.0.0-rc4 | 4,744 | 12/13/2023 |
1.0.0-rc3 | 10,770 | 12/6/2023 |
1.0.0-rc2 | 1,091 | 12/5/2023 |
1.0.0-rc1 | 2,955 | 12/5/2023 |
1.0.0-beta8 | 100,922 | 11/16/2023 |
1.0.0-beta7 | 7,446 | 11/16/2023 |
1.0.0-beta6 | 15,724 | 11/9/2023 |
1.0.0-beta5 | 9,180 | 11/6/2023 |
1.0.0-beta4 | 12,635 | 10/30/2023 |
1.0.0-beta3 | 15,258 | 10/23/2023 |
1.0.0-beta2 | 13,667 | 10/16/2023 |
1.0.0-beta1 | 17,473 | 10/9/2023 |
0.24.230918.1-preview | 117,904 | 9/18/2023 |
0.24.230912.2-preview | 10,972 | 9/12/2023 |
0.24.230911.2-preview | 1,171 | 9/11/2023 |
0.23.230906.2-preview | 52,148 | 9/7/2023 |
0.22.230905.3-preview | 4,831 | 9/5/2023 |
0.21.230828.2-preview | 20,937 | 8/28/2023 |
0.20.230821.4-preview | 11,476 | 8/21/2023 |
0.19.230804.2-preview | 105,118 | 8/5/2023 |
0.18.230725.3-preview | 55,058 | 7/25/2023 |
0.17.230718.1-preview | 37,813 | 7/18/2023 |
0.17.230711.7-preview | 79,651 | 7/11/2023 |
0.17.230704.3-preview | 41,884 | 7/4/2023 |
0.17.230629.1-preview | 8,440 | 6/29/2023 |
0.17.230626.1-preview | 3,086 | 6/26/2023 |
0.16.230615.1-preview | 23,484 | 6/16/2023 |
0.15.231219.1-preview | 473 | 12/19/2023 |
0.15.230609.2-preview | 6,902 | 6/9/2023 |
0.15.230531.5-preview | 21,775 | 6/1/2023 |
0.14.547.1-preview | 20,520 | 5/16/2023 |
0.13.442.1-preview | 19,730 | 5/9/2023 |
0.13.277.1-preview | 14,797 | 4/25/2023 |
0.12.207.1-preview | 3,035 | 4/19/2023 |
0.11.146.1-preview | 3,656 | 4/12/2023 |
0.10.72.1-preview | 3,669 | 4/4/2023 |
0.9.61.1-preview | 2,685 | 3/28/2023 |
0.8.56.1-preview | 1,246 | 3/27/2023 |
0.8.48.1-preview | 14,063 | 3/18/2023 |
0.8.40.1-preview | 671 | 3/14/2023 |
0.8.11.1-preview | 812 | 3/1/2023 |