A guide to persisting conversational AI agent sessions in .NET using the Microsoft Agent Framework, Redis, and Blazor to solve stateless API problems.
A daily tech link roundup covering .NET, AI, web development, cloud services, and Windows development with tutorials and news.
A technical guide to building multi-agent AI systems using workflows in the Microsoft Agent Framework, covering patterns and implementation.
Explains a subtle bug in Microsoft Agent Framework's DevUI where missing workflow names cause runtime errors and provides a fix.
A performance comparison of Microsoft Agent Framework implementations in Python and .NET for AI agents, using local Ollama models.
A guide to building multi-agent AI workflows in .NET using AgentFactory and handoff patterns for clean, scalable agent orchestration.
A tutorial on building a local AI agent with vision and function calling using Microsoft Agent Framework and Ollama in C#.
A technical guide on building an AI agent server using the AG-UI protocol and Microsoft's Agent Framework for Python, with GitHub code.
A developer-friendly introduction to the Microsoft Agent Framework, an open-source SDK for building and orchestrating AI agents in C# and Python.
Guide to using DevUI and Microsoft Agent Framework for debugging and visualizing AI agents in .NET applications.
Learn how to use the Microsoft Agent Framework for .NET to create AI agents with persistent memory across sessions using persisted threads.
Learn how to use Background Responses in .NET's Microsoft Agent Framework to maintain AI agent state and resume interrupted tasks using continuation tokens.
A technical guide on automating presentation creation using Microsoft Agent Framework, Azure OpenAI, and the GAMMA API.
Learn to build AI agents in C# using Microsoft Agent Framework and Hugging Face MCP tools for image generation and analysis.
A guide to building multi-model AI orchestration workflows in .NET 9 using Microsoft Agent Framework, Azure AI, GitHub Models, and Ollama.
Microsoft's new open-source Agent Framework combines AutoGen and Semantic Kernel for building intelligent, multi-agent AI applications.
