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AI Agents

Example AI agent with custom tool suggesting activities via API

11 nodes 482 147 Automatic trigger
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Workflow Description

An artificial intelligence agent that receives messages through a chat interface, processes them using an advanced language model while maintaining conversation memory, then automatically publishes responses to the X platform without manual intervention.

How it works

  1. 1.Receive incoming messages via the enabled chat trigger interface
  2. 2.Process text using OpenAI model with contextual memory support
  3. 3.Extract key information from the generated response
  4. 4.Execute required tools and operations when needed
  5. 5.Publish the final response to the X/Twitter account automatically

Use cases

  • Create an intelligent assistant that responds to customers and shares answers publicly
  • Automate comment and message management with personalized response posting
  • Build an advanced bot that learns from previous context and improves its answers

Requirements

  • Valid API key from OpenAI
  • Active X/Twitter account with authenticated application
  • Set up chat interface and enable message reception

Service Value

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

Apps Used

Chat Trigger OpenAI Memory Twitter/X HTTP Request Tool Set Aggregate AI Agent

Details

Trigger Automatic trigger
Nodes 11
Apps 9
Views 482
Downloads 147

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 (11)

/

Sticky Note1

Sticky Note

#1

Sticky Note2

Sticky Note

#2

Sticky Note

Sticky Note

#3

Sticky Note5

Sticky Note

#4

Sticky Note4

Sticky Note

#5

Sticky Note3

Sticky Note

#6

Sticky Note6

Sticky Note

#7

When chat message received

Chat Trigger

#8

OpenAI Chat Model

OpenAI

#9

Simple Memory

Memory Buffer Window

#10

When Executed by Another Workflow

Execute Workflow Trigger

#11

OpenAI Chat Model1

OpenAI

#12

Work out activity type and number of people1

Information Extractor

#13

Call the API

HTTP Request

#14

Activity Tool

Tool Workflow

#15

Set 'response' value

Set

#16

Combine

Aggregate

#17

AI Agent

Agent

#18
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