C

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    28.9 -Building a Voice Based AI Cursor IDE Clone
    7:14
    28.8 -Setting Up TTS for Conversational AI Agents
    7:19
    29.1 -Section Intro to Model Context Protocol
    0:42
    28.7 -Setting Up OpenAI GPT Completions for Chained Agent
    3:32
    28.6 -Setting Up STT for Chained Conversational Agent
    5:17
    28.5 -Understanding the Chained Pattern for Voice Agents
    4:28
    28.4 -Speech To Speech Voice Agents
    2:04
    28.3 -The S2S and Chained Voice Agents
    2:31
    28.2 -Understanding Conversational AI for Agents
    1:37
    28.1 -Section Intro to Conversational Agentic AI
    1:09
    27.8 -Testing Graph Memory Implementation in Agents
    4:35
    29.3 -Exploring the Architecture of MCP
    5:53
    29.2 -Understanding What Model Context Protocol (MCP) Is
    7:34
    27.6 -Basics of Cypher Query for Graph Databases
    8:11
    27.7 -Adding Graph Database Support for Memory Agent
    1:29
    27.5 -Setting Up Neo4j Cloud Instance for Graph Memory
    2:52
    27.4 -Introduction to Graph Databases Neo4j and Kuzu
    0:58
    27.3 -Why Graph Memory is Needed in AI Agents
    3:00
    27.2 -What is a Graph in AI and Data Systems
    2:43
    27.1 -Section Intro to the Graph Memory
    0:41
    26.1 -Section Intro - The Memory Layer in AI Agents
    0:38