AI Agents

Analyze YouTube Comments and Generate Intelligent Responses

15 nodes 306 168 Automatic trigger
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Workflow Description

Automated intelligent system that monitors YouTube comments, analyzes them using AI, generates contextual replies, and publishes them automatically. Maintains conversation history in memory to ensure consistent and coherent responses across multiple sessions and threads.

How it works

  1. 1.Activate chat trigger to receive new comments from YouTube channels
  2. 2.Process comments through an AI agent powered by OpenAI for intelligent analysis and response generation
  3. 3.Store conversation context in memory buffer for maintaining coherence in follow-up interactions
  4. 4.Batch and publish generated responses directly to YouTube using API

Use cases

  • Manage high-volume comment sections with consistent, intelligent automated responses
  • Maintain active audience engagement without manual intervention for every comment
  • Filter inappropriate content while automatically addressing genuine viewer questions and inquiries

Requirements

  • Valid OpenAI API key and YouTube API authentication with publishing permissions
  • YouTube channel account with comment posting authorization enabled
  • Understanding of memory context management and AI response formatting requirements

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

AI Agent Chat Trigger Tool OpenAI Memory YouTube Split In Batches

Details

Trigger Automatic trigger
Nodes 15
Apps 7
Views 306
Downloads 168

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (15)

/

AI Agent

Agent

#1

chat_message_received

Chat Trigger

#2

youtube_search

Tool Workflow

#3

openai_llm

OpenAI

#4

window_buffer_memory

Memory Buffer Window

#5

Sticky Note1

Sticky Note

#6

find_video_data1

HTTP Request

#7

get_videos1

You Tube

#8

response1

Set

#9

group_data1

Set

#10

save_data_to_memory1

Code

#11

retrieve_data_from_memory1

Code

#12

loop_over_items1

Split In Batches

#13

if_longer_than_3_

If

#14

Sticky Note2

Sticky Note

#15