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In today's n8n tutorial, I teach you how to build an agent with long term memory! This agent can add memories and learn on it's own as you chat with it. We set up a telegram voice and text trigger for talking with your agent and I show you all kinds of other fancy n8n agent building techniques, like using aggregators and mergers! This is truly revolutionary. Enjoy! 🥂

✨ Chapters:
0:00 - Intro to n8n tutorial
0:24 - n8n agent memory query demo
1:46 - Asking ai agent to self improve it’s memory
3:59 - Ai Foundations community
4:32 - Staring the n8n workflow
5:04 - How to create n8n telegram connection
6:23 - How to create n8n airtable connection
8:00 - Configuring airtable memory table
10:00 - Aggregating memory data in n8n
10:48 - Merge node in n8n
11:42 - Adding n8n agent with test data
13:00 - Passing variables from telegram to n8n
13:39 - Writing a system prompt
17:13 - Connecting ChatGPT to n8n
18:08 - Adding Window Buffer Memory in n8n
18:38 - Create agent tool
20:02 - Sending output to telegram
21:10 - Completing ai agent memory
22:47 - Adding telegram voice to your ai agent
27:09 - What's next?

#aiagents #n8n #ai

YouTube

Learn how to build an AI agent with long-term memory capabilities using n8n. This tutorial covers setting up a workflow in n8n that leverages Telegram and Airtable to manage conversations and store important memories. Additionally, it includes step-by-step instructions for integrating tools like OpenAI to improve the agent's performance and responsiveness.

n8n Ai Agent: Build a Self Learning Agent! (n8n tutorial)