Microsoft.SemanticKernel.Core
1.0.0-beta5
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Core --version 1.0.0-beta5
NuGet\Install-Package Microsoft.SemanticKernel.Core -Version 1.0.0-beta5
<PackageReference Include="Microsoft.SemanticKernel.Core" Version="1.0.0-beta5" />
<PackageVersion Include="Microsoft.SemanticKernel.Core" Version="1.0.0-beta5" />
<PackageReference Include="Microsoft.SemanticKernel.Core" />
paket add Microsoft.SemanticKernel.Core --version 1.0.0-beta5
#r "nuget: Microsoft.SemanticKernel.Core, 1.0.0-beta5"
#addin nuget:?package=Microsoft.SemanticKernel.Core&version=1.0.0-beta5&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Core&version=1.0.0-beta5&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.
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. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-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.Abstractions (>= 1.0.0-beta5)
- System.Diagnostics.DiagnosticSource (>= 6.0.1)
NuGet packages (101)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Core:
Package | Downloads |
---|---|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image. |
|
Microsoft.SemanticKernel
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2. Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps. |
|
Microsoft.SemanticKernel.Connectors.AzureOpenAI
Semantic Kernel connectors for Azure OpenAI. Contains clients for chat completion, embedding and DALL-E text to image. |
|
Microsoft.SemanticKernel.PromptTemplates.Handlebars
Semantic Kernel Handlebars Prompt Template Engine |
|
Microsoft.SemanticKernel.Plugins.Core
Semantic Kernel core plugins. |
GitHub repositories (7)
Showing the top 7 popular GitHub repositories that depend on Microsoft.SemanticKernel.Core:
Repository | Stars |
---|---|
microsoft/ai-dev-gallery
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
|
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fagenorn/handcrafted-persona-engine
An AI-powered interactive avatar engine using Live2D, LLM, ASR, TTS, and RVC. Ideal for VTubing, streaming, and virtual assistant applications.
|
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dotnet/ai-samples
|
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axzxs2001/Asp.NetCoreExperiment
原来所有项目都移动到**OleVersion**目录下进行保留。新的案例装以.net 5.0为主,一部分对以前案例进行升级,一部分将以前的工作经验总结出来,以供大家参考!
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AIDotNet/GraphRag.Net
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本,可以使用NuGet开箱即用集成到项目中
|
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SteveSandersonMS/dotnet-ai-workshop
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kbeaugrand/SemanticKernel.Assistants
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
|
Version | Downloads | Last Updated |
---|---|---|
1.58.0 | 1,143 | 6/25/2025 |
1.57.0 | 17,682 | 6/16/2025 |
1.56.0 | 20,954 | 6/10/2025 |
1.55.0 | 33,801 | 6/3/2025 |
1.54.0 | 49,536 | 5/22/2025 |
1.53.1 | 12,438 | 5/21/2025 |
1.52.0 | 6,478 | 5/19/2025 |
1.51.0 | 38,038 | 5/16/2025 |
1.50.0 | 15,355 | 5/14/2025 |
1.49.0 | 32,605 | 5/8/2025 |
1.48.0 | 51,048 | 4/29/2025 |
1.47.0 | 114,645 | 4/17/2025 |
1.46.0 | 63,418 | 4/11/2025 |
1.45.0 | 108,936 | 4/3/2025 |
1.44.0 | 60,797 | 3/26/2025 |
1.43.0 | 24,620 | 3/25/2025 |
1.42.0 | 62,813 | 3/18/2025 |
1.41.0 | 50,242 | 3/11/2025 |
1.40.1 | 63,774 | 3/3/2025 |
1.40.0 | 31,385 | 2/28/2025 |
1.39.0 | 33,547 | 2/25/2025 |
1.38.0 | 44,163 | 2/20/2025 |
1.37.0 | 72,078 | 2/12/2025 |
1.36.1 | 56,546 | 2/7/2025 |
1.36.0 | 33,645 | 2/4/2025 |
1.35.0 | 79,297 | 1/28/2025 |
1.34.0 | 59,057 | 1/22/2025 |
1.33.0 | 168,037 | 1/7/2025 |
1.32.0 | 167,219 | 12/9/2024 |
1.31.0 | 75,854 | 11/27/2024 |
1.30.0 | 84,055 | 11/19/2024 |
1.29.0 | 128,022 | 11/13/2024 |
1.28.0 | 40,648 | 11/7/2024 |
1.27.0 | 17,754 | 11/5/2024 |
1.26.0 | 101,709 | 10/31/2024 |
1.25.0 | 108,182 | 10/23/2024 |
1.24.1 | 72,620 | 10/18/2024 |
1.23.0 | 7,381 | 10/17/2024 |
1.22.0 | 87,454 | 10/8/2024 |
1.21.1 | 119,526 | 9/25/2024 |
1.21.0 | 2,798 | 9/25/2024 |
1.20.0 | 102,627 | 9/17/2024 |
1.19.0 | 29,055 | 9/10/2024 |
1.18.2 | 91,864 | 9/4/2024 |
1.18.1-rc | 35,756 | 8/27/2024 |
1.18.0-rc | 26,962 | 8/12/2024 |
1.17.2 | 175,618 | 8/21/2024 |
1.17.1 | 116,565 | 8/7/2024 |
1.17.0 | 14,138 | 8/7/2024 |
1.16.2 | 53,410 | 7/30/2024 |
1.16.1 | 44,114 | 7/23/2024 |
1.16.0 | 51,243 | 7/16/2024 |
1.15.1 | 140,327 | 7/3/2024 |
1.15.0 | 99,271 | 6/19/2024 |
1.14.1 | 121,493 | 6/5/2024 |
1.14.0 | 36,978 | 6/4/2024 |
1.13.0 | 108,505 | 5/20/2024 |
1.12.0 | 20,045 | 5/16/2024 |
1.11.1 | 106,112 | 5/10/2024 |
1.11.0 | 6,309 | 5/8/2024 |
1.10.0 | 108,937 | 4/29/2024 |
1.9.0 | 68,259 | 4/24/2024 |
1.8.0 | 23,511 | 4/22/2024 |
1.7.1 | 82,263 | 4/5/2024 |
1.7.0 | 47,720 | 4/3/2024 |
1.6.3 | 137,012 | 3/19/2024 |
1.6.2 | 106,750 | 3/14/2024 |
1.6.1 | 17,519 | 3/12/2024 |
1.5.0 | 92,329 | 2/27/2024 |
1.4.0 | 135,224 | 2/14/2024 |
1.3.1 | 27,673 | 2/12/2024 |
1.3.0 | 103,164 | 1/31/2024 |
1.2.0 | 36,342 | 1/24/2024 |
1.1.0 | 107,897 | 1/16/2024 |
1.0.1 | 124,987 | 12/18/2023 |
1.0.0-rc4 | 10,464 | 12/13/2023 |
1.0.0-rc3 | 23,385 | 12/6/2023 |
1.0.0-rc2 | 4,568 | 12/5/2023 |
1.0.0-rc1 | 4,911 | 12/5/2023 |
1.0.0-beta8 | 137,224 | 11/16/2023 |
1.0.0-beta7 | 26,870 | 11/16/2023 |
1.0.0-beta6 | 21,387 | 11/9/2023 |
1.0.0-beta5 | 13,615 | 11/6/2023 |
1.0.0-beta4 | 22,556 | 10/30/2023 |
1.0.0-beta3 | 20,191 | 10/23/2023 |
1.0.0-beta2 | 17,902 | 10/16/2023 |
1.0.0-beta1 | 19,384 | 10/9/2023 |
0.24.230918.1-preview | 142,166 | 9/18/2023 |
0.24.230912.2-preview | 12,624 | 9/12/2023 |
0.24.230911.2-preview | 1,493 | 9/11/2023 |
0.23.230906.2-preview | 10,173 | 9/7/2023 |
0.22.230905.3-preview | 5,562 | 9/5/2023 |
0.21.230828.2-preview | 25,881 | 8/28/2023 |
0.20.230821.4-preview | 13,066 | 8/21/2023 |
0.19.230804.2-preview | 109,168 | 8/5/2023 |
0.18.230725.3-preview | 62,189 | 7/25/2023 |
0.17.230718.1-preview | 85,316 | 7/18/2023 |
0.17.230711.7-preview | 85,117 | 7/11/2023 |
0.17.230704.3-preview | 43,495 | 7/4/2023 |
0.17.230629.1-preview | 8,744 | 6/29/2023 |
0.17.230626.1-preview | 3,904 | 6/26/2023 |
0.16.230615.1-preview | 25,200 | 6/16/2023 |
0.15.231219.1-preview | 6,456 | 12/19/2023 |
0.15.230609.2-preview | 7,549 | 6/9/2023 |
0.15.230531.5-preview | 24,836 | 6/1/2023 |
0.14.547.1-preview | 24,475 | 5/16/2023 |
0.13.442.1-preview | 40,924 | 5/9/2023 |
0.13.277.1-preview | 17,167 | 4/25/2023 |
0.12.207.1-preview | 3,504 | 4/19/2023 |