Microsoft.SemanticKernel
0.14.547.1-preview
Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel --version 0.14.547.1-preview
NuGet\Install-Package Microsoft.SemanticKernel -Version 0.14.547.1-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" Version="0.14.547.1-preview" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.SemanticKernel --version 0.14.547.1-preview
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.SemanticKernel, 0.14.547.1-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 as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel&version=0.14.547.1-preview&prerelease // Install Microsoft.SemanticKernel as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel&version=0.14.547.1-preview&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-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.
-
.NETStandard 2.0
- Microsoft.SemanticKernel.Connectors.AI.OpenAI (>= 0.14.547.1-preview)
- Microsoft.SemanticKernel.Core (>= 0.14.547.1-preview)
- Microsoft.SemanticKernel.Planning.ActionPlanner (>= 0.14.547.1-preview)
- Microsoft.SemanticKernel.Planning.SequentialPlanner (>= 0.14.547.1-preview)
NuGet packages (76)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:
| Package | Downloads |
|---|---|
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FonsecaFramework.Ai
Package Description |
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Hexalith.Infrastructure.AzureDevOps
Hexalith is a set of libraries to build a micro-service architecture. |
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AutoGen.SemanticKernel
This package contains the semantic kernel integration for AutoGen |
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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 |
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SemanticKernelPooling
SemanticKernelPooling is a .NET library designed to facilitate seamless integration with multiple AI Semantic Kernel service providers, such as OpenAI, Azure OpenAI, HuggingFace, Google, Mistral AI, and others. It utilizes a kernel pooling approach to manage resources efficiently and provide robust AI capabilities in your .NET applications. |
GitHub repositories (34)
Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel:
| Repository | Stars |
|---|---|
|
microsoft/PowerToys
Windows system utilities to maximize productivity
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dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
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ServiceStack/ServiceStack
Thoughtfully architected, obscenely fast, thoroughly enjoyable web services for all
|
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SciSharp/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
|
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SciSharp/BotSharp
AI Multi-Agent Framework in .NET
|
| Version | Downloads | Last updated |
|---|---|---|
| 1.40.1 | 4,299 | 5 days ago |
| 1.40.0 | 4,743 | 8 days ago |
| 1.39.0 | 4,944 | 11 days ago |
| 1.38.0 | 12,019 | 16 days ago |
| 1.37.0 | 16,945 | 24 days ago |
| 1.36.1 | 10,202 | a month ago |
| 1.36.0 | 8,262 | a month ago |
| 1.35.0 | 25,398 | a month ago |
| 1.34.0 | 19,718 | a month ago |
| 1.33.0 | 59,769 | 2 months ago |
| 1.32.0 | 68,311 | 3 months ago |
| 1.31.0 | 37,380 | 3 months ago |
| 1.30.0 | 42,950 | 4 months ago |
| 1.29.0 | 65,946 | 4 months ago |
| 1.28.0 | 24,513 | 4 months ago |
| 1.27.0 | 11,516 | 4 months ago |
| 1.26.0 | 24,138 | 4 months ago |
| 1.25.0 | 73,735 | 4 months ago |
| 1.24.1 | 15,998 | 5 months ago |
| 1.23.0 | 4,187 | 5 months ago |
| 1.22.0 | 47,384 | 5 months ago |
| 1.21.1 | 61,512 | 5 months ago |
| 1.21.0 | 1,427 | 5 months ago |
| 1.20.0 | 33,787 | 6 months ago |
| 1.19.0 | 19,734 | 6 months ago |
| 1.18.2 | 32,828 | 6 months ago |
| 1.18.1-rc | 16,863 | 6 months ago |
| 1.18.0-rc | 5,126 | 7 months ago |
| 1.17.2 | 118,108 | 6 months ago |
| 1.17.1 | 84,171 | 7 months ago |
| 1.17.0 | 6,545 | 7 months ago |
| 1.16.2 | 31,818 | 7 months ago |
| 1.16.1 | 31,999 | 7 months ago |
| 1.16.0 | 30,120 | 8 months ago |
| 1.15.1 | 76,847 | 8 months ago |
| 1.15.0 | 77,686 | 9 months ago |
| 1.14.1 | 66,611 | 9 months ago |
| 1.14.0 | 5,818 | 9 months ago |
| 1.13.0 | 82,256 | 10 months ago |
| 1.12.0 | 14,487 | 10 months ago |
| 1.11.1 | 24,152 | 10 months ago |
| 1.11.0 | 4,392 | 10 months ago |
| 1.10.0 | 49,968 | 4/29/2024 |
| 1.9.0 | 37,076 | 4/24/2024 |
| 1.8.0 | 11,548 | 4/22/2024 |
| 1.7.1 | 53,507 | 4/5/2024 |
| 1.7.0 | 15,191 | 4/3/2024 |
| 1.6.3 | 61,965 | 3/19/2024 |
| 1.6.2 | 23,646 | 3/14/2024 |
| 1.6.1 | 6,073 | 3/12/2024 |
| 1.5.0 | 45,797 | 2/27/2024 |
| 1.4.0 | 78,607 | 2/14/2024 |
| 1.3.1 | 15,265 | 2/12/2024 |
| 1.3.0 | 66,330 | 1/31/2024 |
| 1.2.0 | 26,260 | 1/24/2024 |
| 1.1.0 | 66,303 | 1/16/2024 |
| 1.0.1 | 82,121 | 12/18/2023 |
| 1.0.0-rc4 | 4,811 | 12/13/2023 |
| 1.0.0-rc3 | 10,982 | 12/6/2023 |
| 1.0.0-rc2 | 1,104 | 12/5/2023 |
| 1.0.0-rc1 | 2,991 | 12/5/2023 |
| 1.0.0-beta8 | 106,308 | 11/16/2023 |
| 1.0.0-beta7 | 9,522 | 11/16/2023 |
| 1.0.0-beta6 | 16,066 | 11/9/2023 |
| 1.0.0-beta5 | 9,995 | 11/6/2023 |
| 1.0.0-beta4 | 12,965 | 10/30/2023 |
| 1.0.0-beta3 | 15,762 | 10/23/2023 |
| 1.0.0-beta2 | 15,537 | 10/16/2023 |
| 1.0.0-beta1 | 17,636 | 10/9/2023 |
| 0.24.230918.1-preview | 135,996 | 9/18/2023 |
| 0.24.230912.2-preview | 11,320 | 9/12/2023 |
| 0.24.230911.2-preview | 1,225 | 9/11/2023 |
| 0.23.230906.2-preview | 52,361 | 9/7/2023 |
| 0.22.230905.3-preview | 4,866 | 9/5/2023 |
| 0.21.230828.2-preview | 22,551 | 8/28/2023 |
| 0.20.230821.4-preview | 11,514 | 8/21/2023 |
| 0.19.230804.2-preview | 106,152 | 8/5/2023 |
| 0.18.230725.3-preview | 56,900 | 7/25/2023 |
| 0.17.230718.1-preview | 42,025 | 7/18/2023 |
| 0.17.230711.7-preview | 79,785 | 7/11/2023 |
| 0.17.230704.3-preview | 42,044 | 7/4/2023 |
| 0.17.230629.1-preview | 8,599 | 6/29/2023 |
| 0.17.230626.1-preview | 3,156 | 6/26/2023 |
| 0.16.230615.1-preview | 23,949 | 6/16/2023 |
| 0.15.231219.1-preview | 488 | 12/19/2023 |
| 0.15.230609.2-preview | 7,019 | 6/9/2023 |
| 0.15.230531.5-preview | 22,337 | 6/1/2023 |
| 0.14.547.1-preview | 20,773 | 5/16/2023 |
| 0.13.442.1-preview | 19,840 | 5/9/2023 |
| 0.13.277.1-preview | 15,604 | 4/25/2023 |
| 0.12.207.1-preview | 3,056 | 4/19/2023 |
| 0.11.146.1-preview | 3,741 | 4/12/2023 |
| 0.10.72.1-preview | 3,902 | 4/4/2023 |
| 0.9.61.1-preview | 2,712 | 3/28/2023 |
| 0.8.56.1-preview | 1,261 | 3/27/2023 |
| 0.8.48.1-preview | 14,104 | 3/18/2023 |
| 0.8.40.1-preview | 686 | 3/14/2023 |
| 0.8.11.1-preview | 828 | 3/1/2023 |