AgentBlazor: A Native AI Agent Component Library Built for .NET Applications

AgentBlazor is an open-source Blazor component library designed specifically for building AI agent-driven user interfaces in .NET applications. It aims to fill the gap in the Blazor ecosystem by providing native .NET-supported workflow chat interfaces and AI agent interaction components, enabling .NET developers to easily integrate intelligent dialogue and automation features into their apps without extra JavaScript.

With the rapid development of AI agent technology, more applications need intelligent dialogue and automated workflow functions. For .NET developers, Blazor is a powerful web framework, but there was a lack of AI agent UI component libraries tailored to the Blazor ecosystem. AgentBlazor was created to address this gap, offering out-of-the-box AI agent interaction solutions for .NET developers.

Native Blazor Components

All components are natively designed for Blazor: no JavaScript required (pure C#/Razor), full data binding support, follows Blazor component lifecycle, and allows style customization via CSS isolation.

Workflow Chat Interface

Offers professional chat components: message bubbles for various types, real-time streaming responses, Markdown rendering, code syntax highlighting, and file attachment support.

AI Agent Interaction Components

Includes agent status indicators, tool call panels, optional thinking process visualization, multi-session management, and full conversation history browsing/search.

Modular Component Design

Core components include:

• AgentChat: Core chat interface (example code: <AgentChat @bind-Messages="messages" OnSendMessage="HandleSendMessage" StreamingEnabled="true" ShowThinking="true" />)
• AgentWorkflow: Visualizes and manages workflows (example: <AgentWorkflow Workflow="currentWorkflow" OnStepComplete="HandleStepComplete" />)
• AgentToolPanel: Displays tool call details (example: <AgentToolPanel ToolCalls="toolCalls" Expanded="true" />)

Data Models

Standardized models: AgentMessage (supports text/images/files), AgentSession (manages context), AgentTool (tool definitions), WorkflowStep (process orchestration).

Quick Start

1. Install via NuGet: dotnet add package AgentBlazor
2. Import in _Imports.razor: @using AgentBlazor and @using AgentBlazor.Components
3. Basic usage example: <AgentChat @bind-Messages="messages" OnSendMessage="SendMessage" /> with corresponding C# code to handle messages.

Use Cases

• Enterprise Assistants: Internal knowledge base Q&A, automated business workflows, data analysis/reporting, customer service agents.
• Dev Tools: IDE AI assistants, code review suggestions, test/debug helpers, document generation.
• Education: Intelligent tutoring systems, interactive learning platforms, programming teaching assistants.

AI Backend Integration

Compatible with various backends:

• OpenAI: Use OpenAIClient for chat completions.
• Azure OpenAI: Use AzureOpenAIClient with endpoint and credential.
• Custom Agents: Implement IAgentService to define custom processing logic.

Performance Optimizations

• Virtualization for long message lists to improve rendering speed.
• Debouncing for input and scroll events to reduce unnecessary computations.
• Lazy loading of components to minimize initial load time.
• Caching of message rendering results for repeated content.

Ecosystem Compatibility

• Works seamlessly with popular Blazor component libraries like MudBlazor, Fluent UI, and Bootstrap.
• Supports .NET MAUI Blazor applications for cross-platform use.
• Integrates well into the broader .NET ecosystem.

Current Limitations

• Primarily focuses on text dialogue; multi-modal (image/audio) support is still in development.
• Advanced visualization features require additional configuration.
• Mobile device optimization needs further enhancement.

Future Roadmap

• Add voice input and output support.
• Expand visualization components for better workflow representation.
• Integrate with more AI platforms beyond OpenAI and Azure OpenAI.
• Improve mobile user experience.
• Provide more preset themes and templates for quick customization.