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Microsoft Semantic Kernel Articles, Tutorials & News
Microsoft Semantic Kernel articles, tutorials, and news from the DotNetNews archive.
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Browse additional Microsoft Semantic Kernel articles from the DotNetNews archive.
Microsoft Semantic Kernel articles
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AI integrations: Rely or verify? Checking Semantic Kernel
unicorn-dev.medium.com Issue #446
Semantic Kernel is a Microsoft’s SDK for integrating AI models into applications.
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Using Microsoft Agent Framework with Foundry managed memory
youtube.com Issue #437
Lewis Liu and Amy Boyd walk through how memory is natively integrated with Microsoft Agent Framework and LangGraph, enabling agents to persist user preferences, conversation context, and task outcomes...
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Running Local AI with LlamaSharp in .NET: A Developer's Guide
c-sharpcorner.com Issue #437
Run powerful AI models locally in .NET with LlamaSharp! This guide covers setup, model selection (Llama 3, Phi-4), GPU acceleration, and integration with Semantic Kernel.
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How to Build a Multi-Agent Workflow in C# Guide
c-sharpcorner.com Issue #436
Build intelligent multi-agent systems in C# with Semantic Kernel. Automate complex tasks by orchestrating AI agents for research, writing, and review. Learn step-by-step!
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How to Organize Helpers Without Breaking Design?
medium.com Issue #410
Helper methods are useful, until they quietly destroy your design. Here’s how to organize helper methods without cluttering your code.
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Beyond Data: Adding an AI “Brain” to your C# Applications
medium.com Issue #399
In the previous installment (Link here) of our C# series, we built VectoDash — a high-performance, cross-platform weather dashboard. It…
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Ready to explore how AI is transforming the .NET world?
medium.com Issue #394
🚀 Ready to explore how AI is transforming the .NET world? Join our FREE workshop on AI with .NET and discover why .NET developers are in…
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What is Semantic Kernel and how does it help build AI agents in .NET?
c-sharpcorner.com Issue #394
Semantic Kernel simplifies AI agent creation in .NET. This open-source SDK connects your code to AI models, enabling powerful features like RAG, plugins, and more.
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Orchestrating Durable AI Agents in .NET
medium.com Issue #387
In modern AI systems, it’s not enough for agents to handle single requests — they must coordinate complex, multi-step workflows that can… Continue reading on GoPenAI »
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RAG vs LLM Explained: Why Modern AI Apps Need More Than ChatGPT
c-sharpcorner.com Issue #378
Unlock the power of accurate AI! Learn the crucial difference between RAG and LLMs. Build real-world AI apps with data security and trustworthy responses.
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Building a Self-Fixing .NET 10 App with AI Agents
medium.com Issue #368
A step-by-step guide to automating error analysis and remediation using Azure Monitor, Semantic Kernel, and LLMs.
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Generative AI with Large Language Models in C# in 2026
devblogs.microsoft.com Issue #367
A practical introduction to modern AI for .NET developers. The post Generative AI with Large Language Models in C# in 2026 appeared first on .NET Blog.
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Dotnet Agents: Building Autonomous Systems with SK Tools
medium.com Issue #351
Alright, C# developers, gather ‘round! We all love the robustness of Dotnet, but let’s be honest, writing code that handles complex…
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ASP.NET Core pipeline, C# 14, and .NET 10 networking
DotNetNews Issue #349
A varied .NET roundup covering filters, middleware, dependency injection, testing, logging, LINQ performance, and new platform features.
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On .NET Live | Building Real-World AI Agents with Agent Framework
youtube.com Issue #323
In this talk, Vic Perdana demos SemantiClip, an open-source AI agent that transforms video into blog content using the new Agent Framework or AF (next evolution of Semantic Kernel + Autogen) and Azure...
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.NET Agent Framework ile İlk Agent: Teoriden Sahaya Geçiş
medium.com Issue #320
Sahadaki stratejiyi konuştuk, artık sıra geldi topa vurmaya yani koda dökmeye. Önceki serimize ulaşmak için Agent Framework’e Teknik Giriş…
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AI Agents in Practice: Customer Support Automation Agent
c-sharpcorner.com Issue #315
Automate customer support with AI agents! This pattern details a Customer Support Automation Agent that triages inquiries, categorizes issues (billing, technical, general), proposes responses, and esc...
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Optimize Complex Workflows Using Multi-Agent Patterns
youtube.com Issue #315
• Key orchestration patterns for multi-agent systems, including sequential, concurrent, group chat, and hand-off approaches, with real-world examples of each. • AI agent orchestration patterns https:/...
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AutoMapper Is Now Commercial: Should .NET Developers Switch to Mapster?
medium.com Issue #315
With AutoMapper officially going commercial, many .NET
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Designing High-Performance Agent Workflows in .NET: Patterns & Antipatterns
medium.com Issue #312
The rise of AI agents inside enterprise systems means developers now face a new kind of performance problem. It’s no longer just how fast…
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Upgrading to Microsoft Agent Framework in Your .NET AI Chat App
devblogs.microsoft.com Issue #312
Step-by-step review on how to upgrade your .NET AI chat app to Microsoft Agent Framework for better architecture, tool integration, and intelligent reasoning. The post Upgrading to Microsoft Agent Fr...
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Meet the Microsoft Agent Framework: A .NET Developer’s Gateway to AI Agents
medium.com Issue #300
I still remember wiring together my first AI “assistant” in a Blazor app last year. Picture this: me at 2 AM, juggling Semantic Kernel…
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Top .NET LLM Open‑Source Projects in 2025
amarozka.dev Issue #283
Code‑first guide to top .NET LLM open‑source projects in 2025 — Extensions.AI, Semantic Kernel, LLamaSharp, ONNX Runtime, Whisper, and …
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Build Custom AI Agents In .NET With Semantic Kernel
c-sharpcorner.com Issue #276
Build custom AI agents in .NET using Semantic Kernel. Learn to control behavior with tools, memory, planning, and policies for predictable, repeatable results.
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How Do I Create Custom GPT Workflows Visually?
c-sharpcorner.com Issue #268
Want to build your own GPT-powered workflows without code? Learn how to visually create custom AI workflows using tools like Langflow, Flowise, and Autogen Studio — no coding skills needed!