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 Microsoft.SemanticKernel.Plugins.Memory 1.77.0-alpha

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This is a prerelease version of Microsoft.SemanticKernel.Plugins.Memory. 
dotnet add package Microsoft.SemanticKernel.Plugins.Memory --version 1.77.0-alpha
 
 
NuGet\Install-Package Microsoft.SemanticKernel.Plugins.Memory -Version 1.77.0-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="1.77.0-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="1.77.0-alpha" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="Microsoft.SemanticKernel.Plugins.Memory" />
 


 Project file
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 1.77.0-alpha
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Microsoft.SemanticKernel.Plugins.Memory, 1.77.0-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@1.77.0-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=1.77.0-alpha&prerelease
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=Microsoft.SemanticKernel.Plugins.Memory&version=1.77.0-alpha&prerelease
 


 Install as a Cake Tool
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 ⚡

Product Versions Compatible and additional computed target framework versions.
.NET net5.0 net5.0 was computed.  net5.0-windows net5.0-windows was computed.  net6.0 net6.0 was computed.  net6.0-android net6.0-android was computed.  net6.0-ios net6.0-ios was computed.  net6.0-maccatalyst net6.0-maccatalyst was computed.  net6.0-macos net6.0-macos was computed.  net6.0-tvos net6.0-tvos was computed.  net6.0-windows net6.0-windows was computed.  net7.0 net7.0 was computed.  net7.0-android net7.0-android was computed.  net7.0-ios net7.0-ios was computed.  net7.0-maccatalyst net7.0-maccatalyst was computed.  net7.0-macos net7.0-macos was computed.  net7.0-tvos net7.0-tvos was computed.  net7.0-windows net7.0-windows was computed.  net8.0 net8.0 is compatible.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 is compatible.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows net10.0-windows was computed. 
.NET Core netcoreapp2.0 netcoreapp2.0 was computed.  netcoreapp2.1 netcoreapp2.1 was computed.  netcoreapp2.2 netcoreapp2.2 was computed.  netcoreapp3.0 netcoreapp3.0 was computed.  netcoreapp3.1 netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 netstandard2.0 is compatible.  netstandard2.1 netstandard2.1 was computed. 
.NET Framework net461 net461 was computed.  net462 net462 was computed.  net463 net463 was computed.  net47 net47 was computed.  net471 net471 was computed.  net472 net472 was computed.  net48 net48 was computed.  net481 net481 was computed. 
MonoAndroid monoandroid monoandroid was computed. 
MonoMac monomac monomac was computed. 
MonoTouch monotouch monotouch was computed. 
Tizen tizen40 tizen40 was computed.  tizen60 tizen60 was computed. 
Xamarin.iOS xamarinios xamarinios was computed. 
Xamarin.Mac xamarinmac xamarinmac was computed. 
Xamarin.TVOS xamarintvos xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (12)

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
Elsa.Agents.Core

Provides an agentic framework using Semantic Kernel
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
ERNIE-Bot.SemanticKernel

ERNIE-Bot(文心千帆) 集成 Semantic Kernel
BotSharp.Plugin.SemanticKernel

Package Description

GitHub repositories (10)

Showing the top 10 popular GitHub repositories that depend on Microsoft.SemanticKernel.Plugins.Memory:

Repository Stars
SciSharp/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
SciSharp/BotSharp
AI Multi-Agent Framework in .NET
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
dotnet/smartcomponents
Sample intelligent app features provided as reusable .NET components
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！
microsoft/project-oagents
Experimental AI Agents Framework
shuyu-labs/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
Azure/Vector-Search-AI-Assistant
Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Container Apps (or AKS) and Azure Cosmos DB for NoSQL with Vector Search.
shuyu-labs/Text2Sql.Net
Text2Sql.Net 是一个使用DotNet和Semantic Kernel开发的Text2Sql工具
tylike/AI.Labs
openai chatgpt or local llm(llama.cpp gguf format)+TTS+STT+Word+Excel
Version Downloads Last Updated
1.77.0-alpha 1,760 5/28/2026
1.76.0-alpha 3,496 5/11/2026
1.75.0-alpha 2,197 4/29/2026
1.74.0-alpha 8,551 3/20/2026
1.73.0-alpha 11,184 3/4/2026
1.72.0-alpha 11,849 2/19/2026
1.71.0-alpha 6,387 2/16/2026
1.70.0-alpha 6,030 1/23/2026
1.69.0-alpha 3,360 1/19/2026
1.68.0-alpha 11,759 12/3/2025
1.67.1-alpha 6,196 11/7/2025
1.67.0-alpha 4,756 11/3/2025
1.66.0-alpha 10,775 10/8/2025
1.65.0-alpha 30,986 9/10/2025
1.64.0-alpha 10,655 8/27/2025
1.63.0-alpha 9,149 8/20/2025
1.62.0-alpha 4,777 8/12/2025
1.61.0-alpha 4,789 7/24/2025
1.60.0-alpha 3,852 7/8/2025
1.59.0-alpha 1,053 7/1/2025
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