10 posts about csharp ai agents by 3 contributors.
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Learn how to build interactive AI agents in C# with conversation state, tool calling, follow-up questions, human approval, and multi-step workflows.
Learn how to design AI agent memory in C# with short-term context, long-term preferences, semantic retrieval, expiration, and practical memory best practices.
Learn how to add human approval to long-running C# AI agents using workflow state, approval events, authorization, idempotency, and durable execution patterns.
Learn how Microsoft Agent Framework helps C# AI agents recover from failures using durable workflows, retries, checkpoints, and safe execution patterns.
Understand the difference between LLMs and AI agents with practical C# and .NET examples covering tool calling, memory, state, agent loops, RAG, guardrails, and enterprise AI architecture.
Learn how to host AI agents using Microsoft Agent Framework in .NET. This session explains agent hosting architecture, dependency injection, service registration, runtime configuration, deployment strategies, and best practices for running production-ready AI agents in C# and .NET applications.
Learn how the LoopAgent class works in Microsoft Agent Framework and how to build autonomous AI agents with .NET. This session explains iterative agent workflows, autonomous decision-making, execution loops, agent orchestration, and scalable patterns for developing enterprise AI agents using C# and .NET. The episode covers real-world scenarios, workflow automation, and best practices for building self-directed AI systems.
Learn how to build AI agents with Harness Agents in .NET using Microsoft Agent Framework. This session explains agent orchestration, Harness Agent capabilities, workflow automation, tool integration, multi-agent patterns, and scalable approaches for developing enterprise AI applications with C# and .NET.
Learn how to use skills in Microsoft Agent Framework to build AI agents with .NET and C#. This session explains reusable AI agent skills, modular workflows, orchestration patterns, tool integration, and scalable approaches for developing enterprise-ready AI agents using Microsoft technologies.
Learn how to use skills in Microsoft Agent Framework to build AI agents with .NET and C#. This session explains AI agent skills, reusable workflows, modular orchestration, tool integration, and scalable approaches for developing enterprise-ready AI agents using Microsoft technologies.
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