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      <video:title>How AI Agents Work: Tools, Memory, MCP, Guardrails</video:title>
      <video:description>How AI agents work beyond the LLM: prompt → tool call → policy → runtime → observation. Follow one agent from a user request to a controlled real-world action-plus memory, MCP, and guardrails. What you will learn • Why writing a plan is not taking an action • Structured tool calls and the agent loop • Session context vs durable memory • MCP discovery is not permission • Policy gates, human approval, budgets, and tracing Playlists AI Agents: https://www.</video:description>
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      <video:publication_date>2026-08-27T13:08:03-07:00</video:publication_date>
      <video:uploader info="https://www.youtube.com/@DrIbrarAhmedAI">Dr. Ibrar Ahmed</video:uploader>
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