AI Agents

Intelligent agent responding to messages with memory retention

39 nodes 303 132 Automatic trigger
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Workflow Description

Advanced automation system powered by an AI agent backed by Gemini that responds to instant messages while maintaining conversation history and storing data in a vector database. Delivers contextual and reliable dialogue across multiple platforms with continuous learning.

How it works

  1. 1.Activate the intelligent agent upon receiving a message via Chat Trigger
  2. 2.Process inquiries using Gemini while preserving prior conversation memory
  3. 3.Store messages and responses in Vector Store for future reference and learning

Use cases

  • Automated customer support that understands context from previous issues
  • Smart X/Twitter agent responding to mentions and comments with appropriate context

Requirements

  • Active Google Cloud account for Gemini and embedding services
  • Webhook endpoint or support platform for real-time activation

Service Value

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

Apps Used

AI Agent Chat Trigger Gemini Memory Vector Store Twitter/X

Details

Trigger Automatic trigger
Nodes 39
Apps 6
Views 303
Downloads 132

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 (39)

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Query Classification

Agent

#1

Switch

Switch

#2

Factual Strategy - Focus on Precision

Agent

#3

Analytical Strategy - Comprehensive Coverage

Agent

#4

Opinion Strategy - Diverse Perspectives

Agent

#5

Contextual Strategy - User Context Integration

Agent

#6

Chat

Chat Trigger

#7

Factual Prompt and Output

Set

#8

Contextual Prompt and Output

Set

#9

Opinion Prompt and Output

Set

#10

Analytical Prompt and Output

Set

#11

Gemini Classification

Gemini Model

#12

Gemini Factual

Gemini Model

#13

Gemini Analytical

Gemini Model

#14

Chat Buffer Memory Analytical

Memory Buffer Window

#15

Chat Buffer Memory Factual

Memory Buffer Window

#16

Gemini Opinion

Gemini Model

#17

Chat Buffer Memory Opinion

Memory Buffer Window

#18

Gemini Contextual

Gemini Model

#19

Chat Buffer Memory Contextual

Memory Buffer Window

#20

Embeddings

Gemini Model

#21

Sticky Note

Sticky Note

#22

Sticky Note1

Sticky Note

#23

Sticky Note2

Sticky Note

#24

Sticky Note3

Sticky Note

#25

Concatenate Context

Summarize

#26

Retrieve Documents from Vector Store

Vector Store Qdrant

#27

Set Prompt and Output

Set

#28

Gemini Answer

Gemini Model

#29

Answer

Agent

#30

Chat Buffer Memory

Memory Buffer Window

#31

Sticky Note4

Sticky Note

#32

Sticky Note5

Sticky Note

#33

Respond to Webhook

Webhook

#34

Sticky Note6

Sticky Note

#35

When Executed by Another Workflow

Execute Workflow Trigger

#36

Combined Fields

Set

#37

Sticky Note7

Sticky Note

#38

Sticky Note8

Sticky Note

#39

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