Microsoft.SemanticKernel.Plugins.Memory
1.51.0-alpha
Prefix Reserved
.NET 8.0
This package targets .NET 8.0. The package is compatible with this framework or higher.
.NET Standard 2.0
This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of Microsoft.SemanticKernel.Plugins.Memory.
There is a newer prerelease version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Plugins.Memory --version 1.51.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Plugins.Memory -Version 1.51.0-alpha
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.Plugins.Memory" Version="1.51.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.Memory" Version="1.51.0-alpha" />
<PackageReference Include="Microsoft.SemanticKernel.Plugins.Memory" />
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.Plugins.Memory --version 1.51.0-alpha
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.SemanticKernel.Plugins.Memory, 1.51.0-alpha"
#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.
#:package Microsoft.SemanticKernel.Plugins.Memory@1.51.0-alpha
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Microsoft.SemanticKernel.Plugins.Memory&version=1.51.0-alpha&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Plugins.Memory&version=1.51.0-alpha&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 is compatible. 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. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.0
- Microsoft.SemanticKernel.Core (>= 1.51.0)
- System.Numerics.Tensors (>= 9.0.0)
- System.Text.Json (>= 8.0.5)
-
net8.0
- Microsoft.SemanticKernel.Core (>= 1.51.0)
- System.Numerics.Tensors (>= 9.0.0)
- System.Text.Json (>= 8.0.5)
NuGet packages (11)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Plugins.Memory:
| Package | Downloads |
|---|---|
|
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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ERNIE-Bot.SemanticKernel
ERNIE-Bot(文心千帆) 集成 Semantic Kernel |
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GraphRag.Net
GraphRag for .NET –这是一个参考GraphRag的DotNet简易实现。 基于微软在论文中提到的实现思路，执行过程GraphRAG主要实现了如下功能： Source Documents → Text Chunks：将源文档分割成文本块。 Text Chunks → Element Instances：从每个文本块中提取图节点和边的实例。 Element Instances → Element Summaries：为每个图元素生成摘要。 Element Summaries → Graph Communities：使用社区检测算法将图划分为社区。 Graph Communities → Community Summaries：为每个社区生成摘要。 Community Summaries → Community Answers → Global Answer：使用社区摘要生成局部答案，然后汇总这些局部答案以生成全局答案。 商务需求联系微信xuzeyu91 |
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BotSharp.Plugin.SemanticKernel
Package Description |
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UmbracoGenie
GenAI plugin for Umbraco backoffice, provides AI-powered content generation, text editing, and image generation. Powered by Microsoft's Semantic Kernel Connectors |
GitHub repositories (8)
Showing the top 8 popular GitHub repositories that depend on Microsoft.SemanticKernel.Plugins.Memory:
| Repository | Stars |
|---|---|
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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/Generative-AI-for-beginners-dotnet
Five lessons, learn how to really apply AI to your .NET Applications
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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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dotnet/smartcomponents
Sample intelligent app features provided as reusable .NET components
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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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microsoft/project-oagents
Experimental AI Agents Framework
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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 |
|---|---|---|
| 1.66.0-alpha | 882 | 10/8/2025 |
| 1.65.0-alpha | 4,068 | 9/10/2025 |
| 1.64.0-alpha | 2,544 | 8/27/2025 |
| 1.63.0-alpha | 3,036 | 8/20/2025 |
| 1.62.0-alpha | 3,325 | 8/12/2025 |
| 1.61.0-alpha | 3,179 | 7/24/2025 |
| 1.60.0-alpha | 2,618 | 7/8/2025 |
| 1.59.0-alpha | 954 | 7/1/2025 |
| 1.58.0-alpha | 650 | 6/25/2025 |
| 1.57.0-alpha | 4,076 | 6/16/2025 |
| 1.56.0-alpha | 6,057 | 6/10/2025 |
| 1.55.0-alpha | 5,522 | 6/3/2025 |
| 1.54.0-alpha | 4,286 | 5/22/2025 |
| 1.53.1-alpha | 235 | 5/21/2025 |
| 1.52.0-alpha | 312 | 5/19/2025 |
| 1.51.0-alpha | 643 | 5/16/2025 |
| 1.50.0-alpha | 378 | 5/14/2025 |
| 1.49.0-alpha | 6,438 | 5/8/2025 |
| 1.48.0-alpha | 1,664 | 4/29/2025 |
| 1.47.0-alpha | 7,570 | 4/17/2025 |
| 1.46.0-alpha | 2,047 | 4/11/2025 |
| 1.45.0-alpha | 17,248 | 4/3/2025 |
| 1.44.0-alpha | 5,540 | 3/26/2025 |
| 1.43.0-alpha | 941 | 3/25/2025 |
| 1.42.0-alpha | 1,393 | 3/18/2025 |
| 1.41.0-alpha | 9,060 | 3/11/2025 |
| 1.40.1-alpha | 1,356 | 3/3/2025 |
| 1.40.0-alpha | 2,832 | 2/28/2025 |
| 1.39.0-alpha | 1,140 | 2/25/2025 |
| 1.38.0-alpha | 1,327 | 2/20/2025 |
| 1.37.0-alpha | 3,051 | 2/12/2025 |
| 1.36.1-alpha | 3,218 | 2/7/2025 |
| 1.36.0-alpha | 6,355 | 2/4/2025 |
| 1.35.0-alpha | 9,713 | 1/28/2025 |
| 1.34.0-alpha | 1,592 | 1/22/2025 |
| 1.33.0-alpha | 5,662 | 1/7/2025 |
| 1.32.0-alpha | 9,376 | 12/9/2024 |
| 1.31.0-alpha | 7,686 | 11/27/2024 |
| 1.30.0-alpha | 19,695 | 11/19/2024 |
| 1.29.0-alpha | 1,913 | 11/13/2024 |
| 1.28.0-alpha | 6,334 | 11/7/2024 |
| 1.27.0-alpha | 688 | 11/5/2024 |
| 1.26.0-alpha | 2,548 | 10/31/2024 |
| 1.25.0-alpha | 3,605 | 10/23/2024 |
| 1.24.1-alpha | 17,478 | 10/18/2024 |
| 1.23.0-alpha | 236 | 10/17/2024 |
| 1.22.0-alpha | 25,402 | 10/8/2024 |
| 1.21.1-alpha | 4,805 | 9/25/2024 |
| 1.21.0-alpha | 191 | 9/25/2024 |
| 1.20.0-alpha | 7,023 | 9/17/2024 |
| 1.19.0-alpha | 2,770 | 9/10/2024 |
| 1.18.2-alpha | 5,200 | 9/4/2024 |
| 1.18.1-alpha | 2,516 | 8/27/2024 |
| 1.18.0-alpha | 5,520 | 8/12/2024 |
| 1.17.2-alpha | 2,563 | 8/21/2024 |
| 1.17.1-alpha | 4,838 | 8/7/2024 |
| 1.17.0-alpha | 370 | 8/7/2024 |
| 1.16.2-alpha | 6,528 | 7/30/2024 |
| 1.16.1-alpha | 4,478 | 7/23/2024 |
| 1.16.0-alpha | 13,155 | 7/16/2024 |
| 1.15.1-alpha | 9,787 | 7/3/2024 |
| 1.15.0-alpha | 5,282 | 6/19/2024 |
| 1.14.1-alpha | 20,207 | 6/5/2024 |
| 1.14.0-alpha | 1,161 | 6/4/2024 |
| 1.13.0-alpha | 28,670 | 5/20/2024 |
| 1.12.0-alpha | 1,080 | 5/16/2024 |
| 1.11.1-alpha | 9,757 | 5/10/2024 |
| 1.11.0-alpha | 755 | 5/8/2024 |
| 1.10.0-alpha | 7,186 | 4/29/2024 |
| 1.9.0-alpha | 4,798 | 4/24/2024 |
| 1.8.0-alpha | 9,434 | 4/22/2024 |
| 1.7.1-alpha | 5,614 | 4/5/2024 |
| 1.7.0-alpha | 3,776 | 4/3/2024 |
| 1.6.3-alpha | 5,983 | 3/19/2024 |
| 1.6.2-alpha | 14,813 | 3/14/2024 |
| 1.6.1-alpha | 2,510 | 3/12/2024 |
| 1.5.0-alpha | 33,731 | 2/27/2024 |
| 1.4.0-alpha | 10,172 | 2/14/2024 |
| 1.3.1-alpha | 1,408 | 2/12/2024 |
| 1.3.0-alpha | 6,439 | 1/31/2024 |
| 1.2.0-alpha | 5,398 | 1/24/2024 |
| 1.1.0-alpha | 10,394 | 1/16/2024 |
| 1.0.1-alpha | 20,863 | 12/18/2023 |
| 1.0.0-rc4 | 8,111 | 12/13/2023 |
| 1.0.0-rc3 | 18,378 | 12/6/2023 |
| 1.0.0-rc2 | 3,253 | 12/5/2023 |
| 1.0.0-rc1 | 4,706 | 12/5/2023 |
| 1.0.0-beta8 | 128,850 | 11/16/2023 |
| 1.0.0-beta7 | 27,683 | 11/16/2023 |
| 1.0.0-beta6 | 19,330 | 11/9/2023 |
| 1.0.0-beta5 | 13,712 | 11/6/2023 |
| 1.0.0-beta4 | 14,175 | 10/30/2023 |
| 1.0.0-beta3 | 19,976 | 10/23/2023 |
| 1.0.0-beta2 | 16,776 | 10/16/2023 |
| 1.0.0-beta1 | 18,905 | 10/9/2023 |