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2 changes: 1 addition & 1 deletion dotnet/Directory.Packages.props
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<!-- Console UX -->
<PackageVersion Include="Spectre.Console" Version="0.49.1" />
<!-- AWS -->
<PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.101.8" />
<PackageVersion Include="AWS.Bedrock.MEAI" Version="1.0.0" />
<!-- Test -->
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net8.0'" Version="8.0.22" />
<PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net9.0'" Version="9.0.11" />
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</PropertyGroup>

<ItemGroup>
<PackageReference Include="AWSSDK.Extensions.Bedrock.MEAI" />
<PackageReference Include="AWS.Bedrock.MEAI" />
</ItemGroup>

<ItemGroup>
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# Agent with Memory Using Valkey + Amazon Bedrock

This sample demonstrates using Valkey for persistent chat history with the Agent Framework, powered by Amazon Bedrock via the `AWSSDK.Extensions.Bedrock.MEAI` adapter.
This sample demonstrates using Valkey for persistent chat history with the Agent Framework, powered by Amazon Bedrock via the `AWS.Bedrock.MEAI` adapter.

## Components

- **ValkeyChatHistoryProvider** — Persists conversation history across sessions using Valkey lists. Works with any Valkey or Redis OSS server (no search module required).
- **Amazon Bedrock** — Provides the LLM via `AWSSDK.Extensions.Bedrock.MEAI`, which implements `IChatClient` from `Microsoft.Extensions.AI`.
- **Amazon Bedrock** — Provides the LLM via `AWS.Bedrock.MEAI`, which implements `IChatClient` from `Microsoft.Extensions.AI`.

## Prerequisites

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