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dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --version 1.74.0-preview
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.InMemory -Version 1.74.0-preview
<PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.74.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.74.0-preview" />Directory.Packages.props
<PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />Project file
paket add Microsoft.SemanticKernel.Connectors.InMemory --version 1.74.0-preview
#r "nuget: Microsoft.SemanticKernel.Connectors.InMemory, 1.74.0-preview"
#:package Microsoft.SemanticKernel.Connectors.InMemory@1.74.0-preview
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.InMemory&version=1.74.0-preview&prereleaseInstall as a Cake Addin
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.InMemory&version=1.74.0-preview&prereleaseInstall as a Cake Tool
Microsoft.Extensions.VectorData.Abstractions provides abstractions for accessing Vector Databases and Vector Indexes. It includes base abstract classes and interfaces for Vector Database implementations.
Semantic Kernel (SK) is a lightweight SDK allowing integration of AI experiences into your application.
Semantic Kernel (SK) provides a set of implementations for the Microsoft.Extensions.VectorData.Abstractions interfaces, allowing developers to easily connect to various vector databases. This package is one of these implementations.
This package can be used with Semantic Kernel or independently and does not depend on any Semantic Kernel abstractions or core libraries.
| 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 is compatible. 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. |
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Connectors.InMemory:
| Package | Downloads |
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LangChain
LangChain meta-package with the most used things. |
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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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Elsa.Agents.Core
Provides an agentic framework using Semantic Kernel |
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Galosys.Foundation.SemanticKernel
Galosys.Foundation快速开发库 |
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AuthScape.AI
Package Description |
Showing the top 13 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.InMemory:
| Repository | Stars |
|---|---|
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dotnet/extensions
This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
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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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drasi-project/drasi-platform
The Data Change Processing platform
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tryAGI/LangChain
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
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| dotnet/ai-samples | |
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junkai-li/NetCoreKevin
🤖基于.NET搭建的企业级中台AI知识库智能体开源架构：Skills技能管理、AI-Qdrant知识库、知识库重排模型、AI联网搜索、多智能体协同、聊天记录压缩策略、智能体权限管控、AgentFramework、RAG检索增强、本地Ollama AI模型调用、智能体技能可控加载、领域事件、一库多租户、Log4、Jwt、CAP、SignalR、Mcp、Ioc、Hangfire、RabbitMQ、Xunit、前端（Vue + Ant Design）
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AIDotNet/koala-ai
基于.NET8+React实现的企业级智能客服知识库
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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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rwjdk/MicrosoftAgentFrameworkSamples
Samples demonstrating the Microsoft Agent Framework in C#
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Azure-Samples/eShopLite
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
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bingbing-gui/dotnet-agent-playbook
一个面向 .NET + AI Agent 开发的实践型仓库，涵盖 Web、云原生与微服务场景，聚焦智能应用的工程化落地。
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ncosentino/DevLeader
Projects referred to by my blog, Dev Leader
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yangzhongke/LearnAIWithZack
My AI learning journey
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| Version | Downloads | Last Updated |
|---|---|---|
| 1.74.0-preview | 59,198 | 3/20/2026 |
| 1.73.0-preview | 18,551 | 3/4/2026 |
| 1.72.0-preview | 15,543 | 2/19/2026 |
| 1.71.0-preview | 10,260 | 2/16/2026 |
| 1.70.0-preview | 14,234 | 1/23/2026 |
| 1.69.0-preview | 3,992 | 1/19/2026 |
| 1.68.0-preview | 32,478 | 12/3/2025 |
| 1.67.1-preview | 14,080 | 11/7/2025 |
| 1.67.0-preview | 95,663 | 11/3/2025 |
| 1.66.0-preview | 34,727 | 10/8/2025 |
| 1.65.0-preview | 54,550 | 9/10/2025 |
| 1.64.0-preview | 13,851 | 8/27/2025 |
| 1.63.0-preview | 7,145 | 8/20/2025 |
| 1.62.0-preview | 21,180 | 8/12/2025 |
| 1.61.0-preview | 19,113 | 7/24/2025 |
| 1.60.0-preview | 4,927 | 7/8/2025 |
| 1.59.0-preview | 4,170 | 7/1/2025 |
| 1.58.0-preview | 6,704 | 6/25/2025 |
| 1.57.0-preview | 2,930 | 6/16/2025 |
| 1.56.0-preview | 9,915 | 6/10/2025 |