Скачать или смотреть Unlock the Next Evolution of Agents with Human-like Memory (n8n + zep)

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In this video, I walk you through how to use Zep memory to give your AI agents true long-term memory, not just basic context retention, but memory stored in a relational graph. This allows your agents to understand entities, relationships, and even connections between different users, making them far more intelligent and context-aware.

But while this unlocks the next evolution of AI agents, blindly adding Zep memory can be a dangerous game, especially as you scale, with costs quickly adding up. So in this tutorial, I break down how to effectively combine short-term and long-term memory, and I share several smart strategies to reduce the cost of running these systems without sacrificing performance.

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TIMESTAMPS
00:00 Short Term vs. Long Term Memory
02:36 Zep Relationship Graph
05:47 The Issue with This Approach
07:07 Method 1 for Token Reduction
11:37 Download the FREE Workflow
11:57 Method 2 for Token Reduction
13:57 What is a Session ID?
15:32 How to Master n8n

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: Blue Yeti USB