Microsoft.SemanticKernel.Agents.Abstractions 1.17.0-alpha

Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Agents.Abstractions.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Agents.Abstractions --version 1.17.0-alpha
                    
NuGet\Install-Package Microsoft.SemanticKernel.Agents.Abstractions -Version 1.17.0-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.Agents.Abstractions" Version="1.17.0-alpha" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel.Agents.Abstractions" Version="1.17.0-alpha" />
                    
Directory.Packages.props
<PackageReference Include="Microsoft.SemanticKernel.Agents.Abstractions" />
                    
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.Agents.Abstractions --version 1.17.0-alpha
                    
#r "nuget: Microsoft.SemanticKernel.Agents.Abstractions, 1.17.0-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.
#addin nuget:?package=Microsoft.SemanticKernel.Agents.Abstractions&version=1.17.0-alpha&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=Microsoft.SemanticKernel.Agents.Abstractions&version=1.17.0-alpha&prerelease
                    
Install as a Cake Tool

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 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.

NuGet packages (13)

Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Agents.Abstractions:

Package Downloads
Microsoft.SemanticKernel.Agents.Core

Defines core set of concrete Agent and AgentChat classes, based on the Agent Abstractions.

Microsoft.SemanticKernel.Agents.OpenAI

Defines a concrete Agent based on the OpenAI Assistant API.

Microsoft.SemanticKernel.Agents.AzureAI

Defines a concrete Agent based on the Azure AI Agent API.

Microsoft.SemanticKernel.Process.Abstractions

Semantic Kernel Process abstractions. This package is automatically installed by Semantic Kernel Process packages if needed.

Microsoft.SemanticKernel.Process.Core

Semantic Kernel Process core. This package is automatically installed by Semantic Kernel Process packages if needed.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on Microsoft.SemanticKernel.Agents.Abstractions:

Repository Stars
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!
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
1.59.0 1,592 7/1/2025
1.58.0 3,602 6/25/2025
1.57.0 6,515 6/16/2025
1.56.0 8,859 6/10/2025
1.55.0 13,534 6/3/2025
1.54.0 20,734 5/22/2025
1.53.1 2,225 5/21/2025
1.52.0 1,011 5/19/2025
1.51.0 3,027 5/16/2025
1.50.0 2,729 5/14/2025
1.49.0 7,900 5/8/2025
1.48.0 12,007 4/29/2025
1.47.0 53,616 4/17/2025
1.46.0 8,423 4/11/2025
1.45.0 26,386 4/3/2025
1.44.0-preview 11,686 3/26/2025
1.43.0-preview 2,496 3/25/2025
1.42.0-preview 7,077 3/18/2025
1.41.0-preview 7,304 3/11/2025
1.40.1-preview 10,994 3/3/2025
1.40.0-rc 5,857 2/28/2025
1.39.0-alpha 9,671 2/25/2025
1.38.0-alpha 3,430 2/20/2025
1.37.0-alpha 11,259 2/12/2025
1.36.1-alpha 3,966 2/7/2025
1.36.0-alpha 3,771 2/4/2025
1.35.0-alpha 11,104 1/28/2025
1.34.0-alpha 6,036 1/22/2025
1.33.0-alpha 15,215 1/7/2025
1.32.0-alpha 29,843 12/9/2024
1.31.0-alpha 8,397 11/27/2024
1.30.0-alpha 10,273 11/19/2024
1.29.0-alpha 5,475 11/13/2024
1.28.0-alpha 5,119 11/7/2024
1.27.0-alpha 4,006 11/5/2024
1.26.0-alpha 4,923 10/31/2024
1.25.0-alpha 16,787 10/23/2024
1.24.1-alpha 1,138 10/18/2024
1.23.0-alpha 238 10/17/2024
1.22.0-alpha 23,740 10/8/2024
1.21.1-alpha 6,798 9/25/2024
1.21.0-alpha 164 9/25/2024
1.20.0-alpha 2,756 9/17/2024
1.19.0-alpha 1,991 9/10/2024
1.18.2-alpha 1,665 9/4/2024
1.18.1-alpha 24,032 8/27/2024
1.18.0-alpha 2,977 8/12/2024
1.17.2-alpha 13,038 8/21/2024
1.17.1-alpha 784 8/7/2024
1.17.0-alpha 319 8/7/2024
1.16.2-alpha 1,353 7/30/2024
1.16.1-alpha 2,642 7/23/2024
1.16.0-alpha 800 7/16/2024
1.15.1-alpha 25,425 7/3/2024
1.15.0-alpha 2,276 6/19/2024
1.14.1-alpha 3,223 6/5/2024
1.13.0-alpha 2,344 5/20/2024
1.12.0-alpha 255 5/16/2024
1.11.1-alpha 503 5/10/2024
1.11.0-alpha 182 5/8/2024
1.10.0-alpha 9,962 4/29/2024
1.9.0-alpha 260 4/24/2024