Microsoft.SemanticKernel
0.8.56.1-preview
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 0.8.56.1-preview
NuGet\Install-Package Microsoft.SemanticKernel -Version 0.8.56.1-preview
<PackageReference Include="Microsoft.SemanticKernel" Version="0.8.56.1-preview" />
paket add Microsoft.SemanticKernel --version 0.8.56.1-preview
#r "nuget: Microsoft.SemanticKernel, 0.8.56.1-preview"
// Install Microsoft.SemanticKernel as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel&version=0.8.56.1-preview&prerelease // Install Microsoft.SemanticKernel as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel&version=0.8.56.1-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 ⚡
- Check out the GitHub repository for the latest updates
- Learn more at the documentation site
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 | netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.1 is compatible. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.1
- Microsoft.Extensions.Logging (>= 7.0.0)
- System.Linq.Async (>= 6.0.1)
- System.Text.Json (>= 7.0.2)
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 | 12,719 | 12/9/2024 |
1.31.0 | 15,506 | 11/27/2024 |
1.30.0 | 19,341 | 11/19/2024 |
1.29.0 | 28,779 | 11/13/2024 |
1.28.0 | 15,621 | 11/7/2024 |
1.27.0 | 8,151 | 11/5/2024 |
1.26.0 | 14,901 | 10/31/2024 |
1.25.0 | 46,112 | 10/23/2024 |
1.24.1 | 11,142 | 10/18/2024 |
1.23.0 | 3,058 | 10/17/2024 |
1.22.0 | 30,747 | 10/8/2024 |
1.21.1 | 42,387 | 9/25/2024 |
1.21.0 | 1,023 | 9/25/2024 |
1.20.0 | 22,346 | 9/17/2024 |
1.19.0 | 16,059 | 9/10/2024 |
1.18.2 | 30,339 | 9/4/2024 |
1.18.1-rc | 11,025 | 8/27/2024 |
1.18.0-rc | 4,417 | 8/12/2024 |
1.17.2 | 86,685 | 8/21/2024 |
1.17.1 | 73,094 | 8/7/2024 |
1.17.0 | 5,545 | 8/7/2024 |
1.16.2 | 26,579 | 7/30/2024 |
1.16.1 | 29,531 | 7/23/2024 |
1.16.0 | 26,037 | 7/16/2024 |
1.15.1 | 67,924 | 7/3/2024 |
1.15.0 | 70,224 | 6/19/2024 |
1.14.1 | 61,079 | 6/5/2024 |
1.14.0 | 5,234 | 6/4/2024 |
1.13.0 | 74,933 | 5/20/2024 |
1.12.0 | 14,089 | 5/16/2024 |
1.11.1 | 20,841 | 5/10/2024 |
1.11.0 | 4,038 | 5/8/2024 |
1.10.0 | 43,347 | 4/29/2024 |
1.9.0 | 30,624 | 4/24/2024 |
1.8.0 | 10,325 | 4/22/2024 |
1.7.1 | 50,453 | 4/5/2024 |
1.7.0 | 12,473 | 4/3/2024 |
1.6.3 | 52,403 | 3/19/2024 |
1.6.2 | 20,430 | 3/14/2024 |
1.6.1 | 5,944 | 3/12/2024 |
1.5.0 | 42,607 | 2/27/2024 |
1.4.0 | 72,603 | 2/14/2024 |
1.3.1 | 13,213 | 2/12/2024 |
1.3.0 | 60,410 | 1/31/2024 |
1.2.0 | 24,154 | 1/24/2024 |
1.1.0 | 65,823 | 1/16/2024 |
1.0.1 | 74,475 | 12/18/2023 |
1.0.0-rc4 | 4,760 | 12/13/2023 |
1.0.0-rc3 | 10,791 | 12/6/2023 |
1.0.0-rc2 | 1,095 | 12/5/2023 |
1.0.0-rc1 | 2,970 | 12/5/2023 |
1.0.0-beta8 | 102,048 | 11/16/2023 |
1.0.0-beta7 | 7,783 | 11/16/2023 |
1.0.0-beta6 | 15,826 | 11/9/2023 |
1.0.0-beta5 | 9,347 | 11/6/2023 |
1.0.0-beta4 | 12,741 | 10/30/2023 |
1.0.0-beta3 | 15,318 | 10/23/2023 |
1.0.0-beta2 | 13,879 | 10/16/2023 |
1.0.0-beta1 | 17,509 | 10/9/2023 |
0.24.230918.1-preview | 118,779 | 9/18/2023 |
0.24.230912.2-preview | 11,059 | 9/12/2023 |
0.24.230911.2-preview | 1,180 | 9/11/2023 |
0.23.230906.2-preview | 52,189 | 9/7/2023 |
0.22.230905.3-preview | 4,835 | 9/5/2023 |
0.21.230828.2-preview | 21,227 | 8/28/2023 |
0.20.230821.4-preview | 11,483 | 8/21/2023 |
0.19.230804.2-preview | 105,322 | 8/5/2023 |
0.18.230725.3-preview | 55,385 | 7/25/2023 |
0.17.230718.1-preview | 38,497 | 7/18/2023 |
0.17.230711.7-preview | 79,679 | 7/11/2023 |
0.17.230704.3-preview | 41,911 | 7/4/2023 |
0.17.230629.1-preview | 8,454 | 6/29/2023 |
0.17.230626.1-preview | 3,095 | 6/26/2023 |
0.16.230615.1-preview | 23,609 | 6/16/2023 |
0.15.231219.1-preview | 475 | 12/19/2023 |
0.15.230609.2-preview | 6,963 | 6/9/2023 |
0.15.230531.5-preview | 21,855 | 6/1/2023 |
0.14.547.1-preview | 20,549 | 5/16/2023 |
0.13.442.1-preview | 19,746 | 5/9/2023 |
0.13.277.1-preview | 14,832 | 4/25/2023 |
0.12.207.1-preview | 3,036 | 4/19/2023 |
0.11.146.1-preview | 3,666 | 4/12/2023 |
0.10.72.1-preview | 3,680 | 4/4/2023 |
0.9.61.1-preview | 2,687 | 3/28/2023 |
0.8.56.1-preview | 1,247 | 3/27/2023 |
0.8.48.1-preview | 14,070 | 3/18/2023 |
0.8.40.1-preview | 673 | 3/14/2023 |
0.8.11.1-preview | 814 | 3/1/2023 |