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    LangGraph: Rethinking AI Agent Architecture

    27 min
    |
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    21 feb 2026
    AITechnologyBusiness

    Discover how companies like LinkedIn and Uber are building sophisticated AI agents with LangGraph, a revolutionary framework that treats agents as persistent workflows rather than simple conversations.

    LangGraph: Rethinking AI Agent Architecture

    Mejor cita de LangGraph: Rethinking AI Agent Architecture

    “

    Traditional agent frameworks were built around linear chains, but real production agents need to be persistent, long-running workflows that can pause, resume, and even bring humans into the loop when needed.

    ”

    Esta lección de audio fue creada por un miembro de la comunidad BeFreed

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    Puntos clave

    1

    Rethinking AI Agent Architecture

    0:00
    0:19
    0:38
    0:56
    2

    The Graph Revolution

    1:09
    1:26
    1:34
    1:58
    2:09
    2:38
    2:52
    3:11
    3:23
    3:40
    1:34
    3

    State as the Foundation

    4:05
    4:15
    4:32
    4:40
    4:58
    5:08
    5:33
    5:41
    5:53
    6:06
    6:28
    4:40
    4

    Tools and Actions in the Graph

    6:56
    7:11
    7:27
    2:52
    7:51
    8:03
    8:18
    8:25
    8:40
    2:52
    9:14
    9:25
    5

    Human-in-the-Loop Workflows

    9:40
    9:56
    10:09
    10:21
    10:36
    2:52
    11:07
    11:18
    11:35
    11:40
    11:56
    12:08
    12:24
    12:41
    6

    Streaming and Real-Time Feedback

    12:56
    13:09
    13:25
    1:34
    13:48
    2:52
    14:17
    14:27
    14:42
    14:52
    15:10
    1:34
    15:40
    4:40
    7

    Multi-Agent Orchestration

    16:08
    9:56
    16:36
    16:42
    16:55
    2:52
    17:28
    17:39
    17:55
    2:52
    18:29
    18:41
    18:54
    19:01
    19:18
    19:25
    8

    Performance and Production Considerations

    19:43
    19:56
    20:08
    20:12
    20:28
    4:40
    20:53
    20:59
    21:12
    1:34
    21:35
    21:41
    21:56
    2:52
    22:23
    22:30
    22:44
    2:52
    9

    The Future of Agent Development

    23:09
    1:34
    23:38
    23:48
    24:10
    24:24
    24:42
    24:54
    25:11
    25:17
    25:36
    4:40
    25:55
    26:02
    26:19
    1:34
    26:47
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