Microsoft.SemanticKernel
0.23.230906.2-preview
Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.
This package has a SemVer 2.0.0 package version: 0.23.230906.2-preview+16d3004.
There is a newer version of this package available.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 0.23.230906.2-preview
NuGet\Install-Package Microsoft.SemanticKernel -Version 0.23.230906.2-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="0.23.230906.2-preview" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel" Version="0.23.230906.2-preview" />
<PackageReference Include="Microsoft.SemanticKernel" />
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Microsoft.SemanticKernel --version 0.23.230906.2-preview
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.SemanticKernel, 0.23.230906.2-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.
#addin nuget:?package=Microsoft.SemanticKernel&version=0.23.230906.2-preview&prerelease
#tool nuget:?package=Microsoft.SemanticKernel&version=0.23.230906.2-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 (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Core (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Planning.ActionPlanner (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Planning.SequentialPlanner (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Planning.StepwisePlanner (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Reliability.Basic (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.Skills.Core (>= 0.23.230906.2-preview)
- Microsoft.SemanticKernel.TemplateEngine.PromptTemplateEngine (>= 0.23.230906.2-preview)
NuGet packages (87)
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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Soenneker.SemanticKernel.Cache
Providing async thread-safe singleton Semantic Kernel instances |
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AutoGen.SemanticKernel
This package contains the semantic kernel integration for AutoGen |
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Hexalith.Infrastructure.AzureDevOps
Hexalith is a set of libraries to build a micro-service architecture. |
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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 (35)
Showing the top 20 popular GitHub repositories that depend on Microsoft.SemanticKernel:
| Repository | Stars |
|---|---|
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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
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microsoft/kernel-memory
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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microsoft/WhatTheHack
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
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microsoft/Generative-AI-for-beginners-dotnet
Five lessons, learn how to really apply AI to your .NET Applications
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Azure-Samples/azure-search-openai-demo-csharp
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
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dotnet/ai-samples
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microsoft/node-api-dotnet
Advanced interoperability between .NET and JavaScript in the same process.
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Richasy/FantasyCopilot
A new-age AI desktop tool
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microsoft/semantic-kernel-starters
Starter Projects for Semantic Kernel
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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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CervantesSec/cervantes
Cervantes is an open-source, collaborative platform designed specifically for pentesters and red teams. It serves as a comprehensive management tool, streamlining the organization of projects, clients, vulnerabilities, and reports in a single, centralized location.
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syncfusion/wpf-demos
This repository contains the samples for Syncfusion WPF UI Controls and File Format libraries and the guide to use them.
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239573049/ChatGpt.Desktop
ChatGpt Dekstop support Android，IOS，Mac，Linux，Win，Web
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microsoft/project-oagents
Experimental AI Agents Framework
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Azure-Samples/cosmosdb-chatgpt
Sample application that combines Azure Cosmos DB with Azure OpenAI ChatGPT service
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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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| Version | Downloads | Last updated |
|---|---|---|
| 1.46.0 | 1,328 | 2 days ago |
| 1.45.0 | 13,533 | 10 days ago |
| 1.44.0 | 14,951 | 18 days ago |
| 1.43.0 | 5,472 | 20 days ago |
| 1.42.0 | 13,820 | a month ago |
| 1.41.0 | 16,286 | a month ago |
| 1.40.1 | 28,902 | a month ago |
| 1.40.0 | 10,235 | 2 months ago |
| 1.39.0 | 15,686 | 2 months ago |
| 1.38.0 | 24,458 | 2 months ago |
| 1.37.0 | 27,804 | 2 months ago |
| 1.36.1 | 14,131 | 2 months ago |
| 1.36.0 | 13,206 | 2 months ago |
| 1.35.0 | 43,239 | 3 months ago |
| 1.34.0 | 31,545 | 3 months ago |
| 1.33.0 | 86,150 | 3 months ago |
| 1.32.0 | 90,374 | 4 months ago |
| 1.31.0 | 47,023 | 5 months ago |
| 1.30.0 | 51,362 | 5 months ago |
| 1.29.0 | 77,440 | 5 months ago |
| 1.28.0 | 26,884 | 5 months ago |
| 1.27.0 | 12,759 | 5 months ago |
| 1.26.0 | 27,213 | 5 months ago |
| 1.25.0 | 79,832 | 6 months ago |
| 1.24.1 | 17,484 | 6 months ago |
| 1.23.0 | 4,779 | 6 months ago |
| 1.22.0 | 55,595 | 6 months ago |
| 1.21.1 | 69,570 | 7 months ago |
| 1.21.0 | 1,793 | 7 months ago |
| 1.20.0 | 42,138 | 7 months ago |
| 1.19.0 | 21,002 | 7 months ago |
| 1.18.2 | 34,223 | 7 months ago |
| 1.18.1-rc | 19,471 | 8 months ago |
| 1.18.0-rc | 5,414 | 8 months ago |
| 1.17.2 | 126,636 | 8 months ago |
| 1.17.1 | 87,892 | 8 months ago |
| 1.17.0 | 6,668 | 8 months ago |
| 1.16.2 | 34,213 | 8 months ago |
| 1.16.1 | 33,346 | 9 months ago |
| 1.16.0 | 33,164 | 9 months ago |
| 1.15.1 | 80,773 | 9 months ago |
| 1.15.0 | 80,872 | 10 months ago |
| 1.14.1 | 69,074 | 6/5/2024 |
| 1.14.0 | 6,192 | 6/4/2024 |
| 1.13.0 | 84,567 | 5/20/2024 |
| 1.12.0 | 15,115 | 5/16/2024 |
| 1.11.1 | 26,093 | 5/10/2024 |
| 1.11.0 | 4,574 | 5/8/2024 |
| 1.10.0 | 51,868 | 4/29/2024 |
| 1.9.0 | 40,705 | 4/24/2024 |
| 1.8.0 | 12,279 | 4/22/2024 |
| 1.7.1 | 55,348 | 4/5/2024 |
| 1.7.0 | 16,145 | 4/3/2024 |
| 1.6.3 | 64,707 | 3/19/2024 |
| 1.6.2 | 24,803 | 3/14/2024 |
| 1.6.1 | 6,218 | 3/12/2024 |
| 1.5.0 | 47,204 | 2/27/2024 |
| 1.4.0 | 82,104 | 2/14/2024 |
| 1.3.1 | 16,188 | 2/12/2024 |
| 1.3.0 | 69,059 | 1/31/2024 |
| 1.2.0 | 27,327 | 1/24/2024 |
| 1.1.0 | 66,528 | 1/16/2024 |
| 1.0.1 | 86,130 | 12/18/2023 |
| 1.0.0-rc4 | 4,843 | 12/13/2023 |
| 1.0.0-rc3 | 11,061 | 12/6/2023 |
| 1.0.0-rc2 | 1,111 | 12/5/2023 |
| 1.0.0-rc1 | 3,016 | 12/5/2023 |
| 1.0.0-beta8 | 108,397 | 11/16/2023 |
| 1.0.0-beta7 | 10,440 | 11/16/2023 |
| 1.0.0-beta6 | 16,301 | 11/9/2023 |
| 1.0.0-beta5 | 10,374 | 11/6/2023 |
| 1.0.0-beta4 | 13,070 | 10/30/2023 |
| 1.0.0-beta3 | 16,016 | 10/23/2023 |
| 1.0.0-beta2 | 15,632 | 10/16/2023 |
| 1.0.0-beta1 | 17,688 | 10/9/2023 |
| 0.24.230918.1-preview | 143,024 | 9/18/2023 |
| 0.24.230912.2-preview | 11,373 | 9/12/2023 |
| 0.24.230911.2-preview | 1,288 | 9/11/2023 |
| 0.23.230906.2-preview | 52,390 | 9/7/2023 |
| 0.22.230905.3-preview | 4,946 | 9/5/2023 |
| 0.21.230828.2-preview | 23,414 | 8/28/2023 |
| 0.20.230821.4-preview | 11,527 | 8/21/2023 |
| 0.19.230804.2-preview | 106,560 | 8/5/2023 |
| 0.18.230725.3-preview | 57,462 | 7/25/2023 |
| 0.17.230718.1-preview | 43,970 | 7/18/2023 |
| 0.17.230711.7-preview | 79,864 | 7/11/2023 |
| 0.17.230704.3-preview | 42,124 | 7/4/2023 |
| 0.17.230629.1-preview | 8,637 | 6/29/2023 |
| 0.17.230626.1-preview | 3,180 | 6/26/2023 |
| 0.16.230615.1-preview | 24,170 | 6/16/2023 |
| 0.15.231219.1-preview | 490 | 12/19/2023 |
| 0.15.230609.2-preview | 7,025 | 6/9/2023 |
| 0.15.230531.5-preview | 22,618 | 6/1/2023 |
| 0.14.547.1-preview | 20,950 | 5/16/2023 |
| 0.13.442.1-preview | 19,881 | 5/9/2023 |
| 0.13.277.1-preview | 16,055 | 4/25/2023 |
| 0.12.207.1-preview | 3,059 | 4/19/2023 |
| 0.11.146.1-preview | 3,786 | 4/12/2023 |
| 0.10.72.1-preview | 4,016 | 4/4/2023 |
| 0.9.61.1-preview | 2,722 | 3/28/2023 |
| 0.8.56.1-preview | 1,263 | 3/27/2023 |
| 0.8.48.1-preview | 14,108 | 3/18/2023 |
| 0.8.40.1-preview | 690 | 3/14/2023 |
| 0.8.11.1-preview | 830 | 3/1/2023 |