Microsoft Agent Framework in .NET: A February 2026 Preview Field Guide
What Microsoft Agent Framework for .NET really is in February 2026: agents, sessions, tool approvals and handoffs, plus where it fits before it reaches GA.
13 articles
What Microsoft Agent Framework for .NET really is in February 2026: agents, sessions, tool approvals and handoffs, plus where it fits before it reaches GA.
Running Semantic Kernel agents in production in early 2026: which APIs are GA, which are preview, how to guard tool calls, and where Agent Framework fits.
Instead of a single LLM handling all tasks, multi-agent systems divide work among specialized agents that communicate and coordinate to achieve goals.
AutoGen enables building sophisticated AI systems that can decompose complex tasks and collaborate to find solutions.
Multi-agent architectures shine for tasks requiring diverse expertise: research reports, code reviews, complex analysis, and creative projects. The key is…
Define clear responsibilities for each agent to avoid confusion and improve reliability. Multi-agent architectures excel at complex workflows where…
Choose the right execution pattern based on task complexity and agent capabilities.
Four multi-agent orchestration patterns, what Semantic Kernel, AutoGen 0.4 and Azure AI Agent Service offered for each in January 2025, and when to skip them.
Multi-agent systems unlock sophisticated automation capabilities. Start with simple patterns and evolve complexity as needed.
How LangChain 0.1, AutoGen 0.2, CrewAI 0.1 and Semantic Kernel 1.0 differ in maturity, control and Azure OpenAI fit, and which one I'd pick for what.
A practical look at CrewAI 0.1.x with Azure OpenAI: how agents, tasks and sequential crews work, what's missing today, and when to choose it.
A practical look at AutoGen 0.2 with Azure OpenAI: wiring the config, stopping runaway conversations, sandboxing generated code and registering tools.
When a single GPT-4 agent stops being reliable, split it into specialists. A framework-free supervisor pattern on Azure OpenAI, with trade-offs and limits.