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.
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