Microsoft.SemanticKernel.Plugins.Memory
1.8.0-alpha
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Plugins.Memory --version 1.8.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Plugins.Memory -Version 1.8.0-alpha
<PackageReference Include="Microsoft.SemanticKernel.Plugins.Memory" Version="1.8.0-alpha" />
paket add Microsoft.SemanticKernel.Plugins.Memory --version 1.8.0-alpha
#r "nuget: Microsoft.SemanticKernel.Plugins.Memory, 1.8.0-alpha"
// Install Microsoft.SemanticKernel.Plugins.Memory as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Plugins.Memory&version=1.8.0-alpha&prerelease
// Install Microsoft.SemanticKernel.Plugins.Memory as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Plugins.Memory&version=1.8.0-alpha&prerelease
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. |
.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. |
-
.NETStandard 2.0
- Microsoft.SemanticKernel.Core (>= 1.8.0)
- System.Numerics.Tensors (>= 8.0.0)
- System.Text.Json (>= 8.0.2)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on Microsoft.SemanticKernel.Plugins.Memory:
Package | Downloads |
---|---|
Senparc.AI.Kernel
Senparc.AI 核心模块,目前为快速迭代,和 Senaprc.Weixin.AI 一起维护,V2.0 后期将独立项目 https://github.com/Senparc/Senaprc.Weixin.AI |
|
ERNIE-Bot.SemanticKernel
ERNIE-Bot(文心千帆) 集成 Semantic Kernel |
|
BotSharp.Plugin.SemanticKernel
Package Description |
GitHub repositories (3)
Showing the top 3 popular GitHub repositories that depend on Microsoft.SemanticKernel.Plugins.Memory:
Repository | Stars |
---|---|
SciSharp/LLamaSharp
A C#/.NET library to run LLM models (🦙LLaMA/LLaVA) on your local device efficiently.
|
|
SciSharp/BotSharp
The AI Agent Framework in .NET
|
|
microsoft/project-oagents
Experimental AI Agents Framework
|
Version | Downloads | Last updated |
---|---|---|
1.13.0-alpha | 57 | 5/20/2024 |
1.12.0-alpha | 172 | 5/16/2024 |
1.11.1-alpha | 333 | 5/10/2024 |
1.11.0-alpha | 206 | 5/8/2024 |
1.10.0-alpha | 1,227 | 4/29/2024 |
1.9.0-alpha | 591 | 4/24/2024 |
1.8.0-alpha | 356 | 4/22/2024 |
1.7.1-alpha | 1,820 | 4/5/2024 |
1.7.0-alpha | 563 | 4/3/2024 |
1.6.3-alpha | 1,777 | 3/19/2024 |
1.6.2-alpha | 5,105 | 3/14/2024 |
1.6.1-alpha | 281 | 3/12/2024 |
1.5.0-alpha | 12,428 | 2/27/2024 |
1.4.0-alpha | 5,806 | 2/14/2024 |
1.3.1-alpha | 725 | 2/12/2024 |
1.3.0-alpha | 2,996 | 1/31/2024 |
1.2.0-alpha | 2,416 | 1/24/2024 |
1.1.0-alpha | 6,197 | 1/16/2024 |
1.0.1-alpha | 12,133 | 12/18/2023 |
1.0.0-rc4 | 5,390 | 12/13/2023 |
1.0.0-rc3 | 11,435 | 12/6/2023 |
1.0.0-rc2 | 1,969 | 12/5/2023 |
1.0.0-rc1 | 3,050 | 12/5/2023 |
1.0.0-beta8 | 80,512 | 11/16/2023 |
1.0.0-beta7 | 12,733 | 11/16/2023 |
1.0.0-beta6 | 15,590 | 11/9/2023 |
1.0.0-beta5 | 5,966 | 11/6/2023 |
1.0.0-beta4 | 10,640 | 10/30/2023 |
1.0.0-beta3 | 13,640 | 10/23/2023 |
1.0.0-beta2 | 10,815 | 10/16/2023 |
1.0.0-beta1 | 17,482 | 10/9/2023 |