Why Your Semantic Kernel Agents Are Sharing Plugins and How to Fix It

Learn why using a single Semantic Kernel for multiple agents causes plugins to leak between them, uncover the root cause, and explore simple solutions to ensure each agent’s plugins remain properly isolated.

Integrating Dapr with DotNet Semantic Kernel Process Framework on Aspire

Learn how to integrate Dapr sidecars into your .NET Aspire projects with Microsoft’s Semantic Kernel Process Framework to run AI-powered workflows at cloud scale. This step-by-step guide covers installation, configuration and sample code to get resilient, actor-based processes running anywhere.

Understanding Selection and Termination Strategy functions in .NET Semantic Kernel Agent Framework

Explore how Selection and Termination Strategy Functions in the Semantic Kernel Agent Framework for .NET manage multi-agent conversations by choosing the next speaker and deciding when to end the chat.

Automate Workflows with Microsoft Semantic Kernel Process Framework in .NET

Build intelligent, event-driven workflows using Microsoft’s Semantic Kernel Process Framework to automate content creation, onboarding, and complex tasks with AI and custom logic.

Building Multi‑Agent AI Workflows with Semantic Kernel Agent Framework in .NET

Explore how multi-agent systems enable AI agents to collaborate seamlessly, enhancing efficiency and scalability. Learn to implement this approach using Microsoft's Semantic Kernel, orchestrating specialized agents to automate tasks like email drafting and approval.

Why Your AI Agent Isn't Calling Your Tools: Fixing Function Invocation Issues in Semantic Kernel

This blog covers why your Semantic Kernel AI agent may ignore plugins and how to fix it with a simple configuration change.

Building a Model Context Protocol Server with .NET and Semantic Kernel Integration

Learn how to implement a Model Context Protocol (MCP) server using C# and integrate it with Semantic Kernel to enhance AI assistants with external data and tools through a standardized protocol.

Building AI Agent using Semantic Kernel Agent Framework

Explore the creation of intelligent AI agents with the Semantic Kernel Agent Framework

Understanding Response Format Limitations: Why Llama, Phi & Mistral Models Struggle in Azure AI Studio

A comprehensive exploration of Response Format compatibility issues when working with Llama, Phi, and Mistral model families in Microsoft Azure AI Studio with Semantic Kernel, and how to effectively navigate these limitations.