FabrCore.Host 0.6.17

dotnet add package FabrCore.Host --version 0.6.17
                    
NuGet\Install-Package FabrCore.Host -Version 0.6.17
                    
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="FabrCore.Host" Version="0.6.17" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="FabrCore.Host" Version="0.6.17" />
                    
Directory.Packages.props
<PackageReference Include="FabrCore.Host" />
                    
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 FabrCore.Host --version 0.6.17
                    
#r "nuget: FabrCore.Host, 0.6.17"
                    
#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 FabrCore.Host@0.6.17
                    
#: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=FabrCore.Host&version=0.6.17
                    
Install as a Cake Addin
#tool nuget:?package=FabrCore.Host&version=0.6.17
                    
Install as a Cake Tool

FabrCore

License NuGet .NET 10 Orleans 10

A .NET framework for building distributed AI agent systems on Orleans and Microsoft Agent Framework.

FabrCore provides the building blocks for creating, hosting, and connecting to AI agents that run as Orleans grains. Agents are durable, scalable, and communicate through a structured message-passing architecture with built-in support for LLM providers, tool execution, MCP integration, and real-time monitoring.

Website: fabrcore.ai | Built by: Vulcan365 AI

New to FabrCore? Start with the blogs and guides on fabrcore.ai/blogs for walkthroughs, architecture deep-dives, and real-world patterns.


Key Features

  • Distributed AI Agents -- Orleans grains with durable state, timers, reminders, and health monitoring
  • Microsoft Agent Framework -- Built on Microsoft.Agents.AI with ChatClientAgent, sessions, and thread patterns
  • Multi-LLM Support -- Azure OpenAI, OpenAI, Anthropic, and custom providers via Microsoft.Extensions.AI
  • Plugins and Tools -- Stateful plugins and stateless standalone tools with dependency injection
  • MCP Integration -- Model Context Protocol servers via Stdio and HTTP transports
  • Inter-Agent Messaging -- Fan-out, pipeline, supervisor patterns with ACL-based access control
  • Real-Time Monitoring -- Agent message traffic, events, LLM request/response capture, and token tracking
  • ChatDock UI -- Floating chat panel component for Blazor Server with multi-instance support
  • Audio Transcription -- Azure OpenAI gpt-4o transcription model support
  • Testing Harness -- In-memory agent testing with mock and live LLM modes

Architecture

+---------------------------------------------------+
|                Your Application                    |
+-------------------+-------------------------------+
|  FabrCore.Client  |        FabrCore.Host          |
|  ClientContext     |  AgentGrain (Orleans 10)      |
|  ChatDock (UI)    |  API / Chat Completions       |
|  Health Monitor   |  WebSocket Middleware          |
+-------------------+-------------------------------+
|                  FabrCore.Sdk                      |
|  FabrCoreAgentProxy  *  ChatClientAgent            |
|  Plugins  *  Tools  *  MCP  *  Agent Monitor       |
+---------------------------------------------------+
|                 FabrCore.Core                      |
|  Interfaces  *  Data Models  *  Grain Abstractions |
+---------------------------------------------------+

Packages

Package Description
FabrCore.Core Core interfaces, data models, and grain abstractions
FabrCore.Sdk Agent SDK -- FabrCoreAgentProxy, plugins, tools, MCP, monitoring
FabrCore.Host Server host -- Orleans silo, REST API, chat completions, WebSocket
FabrCore.Client Client library -- ClientContext, ChatDock Blazor component, health monitoring

Quick Start

1. Install packages

dotnet add package FabrCore.Host

FabrCore.Host pulls in FabrCore.Sdk and FabrCore.Core transitively. For client applications, add FabrCore.Client instead.

2. Create an agent

using FabrCore.Sdk;
using FabrCore.Core;

[AgentAlias("my-assistant")]
public class MyAssistantAgent : FabrCoreAgentProxy
{
    public override async Task<AgentMessage> OnMessage(AgentMessage message)
    {
        var (agent, session) = await Host.CreateChatClientAgent(
            modelName: "AzureProd",
            instructions: "You are a helpful assistant."
        );

        var response = await agent.SendAsync(session, message.Text);
        return message.ToReply(response);
    }
}

3. Configure the server

var builder = WebApplication.CreateBuilder(args);

builder.AddFabrCoreServer();

var app = builder.Build();
app.UseFabrCoreServer();
app.Run();

4. Configure model access

Copy FabrCore.json.example to FabrCore.json in your project root and add your LLM provider configuration:

{
  "ModelConfigurations": [
    {
      "Name": "AzureProd",
      "Provider": "Azure",
      "Uri": "https://your-resource.cognitiveservices.azure.com/",
      "Model": "gpt-4.1-mini",
      "ApiKeyAlias": "AZURE_KEY"
    }
  ],
  "ApiKeys": [
    {
      "Alias": "AZURE_KEY",
      "Value": "your-api-key-here"
    }
  ]
}

Note: FabrCore.json is gitignored by default to prevent accidental secret commits.

Documentation

Full documentation is available in the docs/skills directory:

Topic Description
FabrCore Overview Architecture, prerequisites, and project templates
Agent Development Building agents with lifecycle methods, state, timers, and reminders
Microsoft Agent Framework ChatClientAgent, sessions, thread patterns, and Microsoft.Extensions.AI
Server Setup Orleans silo, REST API, WebSocket, LLM providers, and system agents
Client Setup Blazor Server clients, Orleans connectivity, and agent messaging
ChatDock Component Floating chat panel UI with customizable positions and multi-instance
Plugins and Tools Stateful plugins, stateless tools, and DI integration
MCP Integration Model Context Protocol servers via Stdio and HTTP transports
Messaging and Access Control Inter-agent communication patterns, routing, and ACL rules
Agent Monitor Message traffic monitoring, LLM call capture, and token tracking
Orleans Configuration Clustering, persistence, streaming, reminders, and multi-silo
Testing In-memory test harness with mock and live LLM modes
Audio Transcription Azure OpenAI gpt-4o audio transcription

Check out the FabrCore Blog for tutorials, architecture deep-dives, integration guides, and best practices.

Technology Stack

  • .NET 10 -- Latest .NET runtime
  • Orleans 10.0 -- Distributed actor framework for grain-based agents
  • Microsoft.Agents.AI 1.0 -- Microsoft Agent Framework for AI agent patterns
  • Microsoft.Extensions.AI -- Unified AI abstractions for multi-provider LLM support
  • Blazor Server -- Real-time web UI for agent interaction

Building from Source

dotnet build src/FabrCore.sln

License

Licensed under the Apache License, Version 2.0.

See NOTICE for attribution requirements.

Contributing

Contributions are welcome! Please open an issue or pull request on GitHub.

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.6.17 100 4/17/2026
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0.6.14 115 4/12/2026
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0.6.12 96 4/11/2026
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0.6.2 96 4/1/2026
0.6.1 90 3/31/2026
0.6.0 113 3/31/2026
0.5.58 92 3/20/2026
0.5.57 86 3/20/2026
0.5.56 89 3/18/2026
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