AI Agents

Automated workflow

39 nodes 220 127 Automatic trigger
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Workflow Description

An advanced automated workflow integrating intelligent agents with X (Twitter) and memory systems to handle recurring interactions and manage structured data efficiently across multiple processing stages.

How it works

  1. 1.Activate the trigger and establish workflow entry point
  2. 2.Process HTTP requests and execute complex conditional logic
  3. 3.Manage memory buffers and data storage with sliding windows
  4. 4.Split, aggregate, and filter data streams systematically
  5. 5.Publish to X and coordinate final output formatting

Use cases

  • Manage social media interactions with AI-powered responses
  • Process recurring messages while maintaining conversation context

Requirements

  • Connected X/Twitter account with API access
  • Configured memory variables and buffer storage systems

Service Value

Ready-made workflow template for automation delivery and service execution.

Apps Used

Twitter/X Memory

Details

Trigger Automatic trigger
Nodes 39
Apps 2
Views 220
Downloads 127

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)

/

Submit batch

HTTP Request

#1

Check batch status

HTTP Request

#2

When Executed by Another Workflow

Execute Workflow Trigger

#3

Get results

HTTP Request

#4

Parse response

Code

#5

If ended processing

If

#6

Sticky Note

Sticky Note

#7

Sticky Note1

Sticky Note

#8

Batch Status Poll Interval

Wait

#9

Sticky Note2

Sticky Note

#10

Run example

Manual Trigger

#11

One query example

Set

#12

Delete original properties

Set

#13

Construct 'requests' array

Aggregate

#14

Set desired 'anthropic-version'

Set

#15

Execute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'

Execute Workflow

#16

Build batch 'request' object for single query

Code

#17

Simple Memory Store

Memory Buffer Window

#18

Fill Chat Memory with example data

Memory Manager

#19

Build batch 'request' object from Chat Memory and execution data

Code

#20

Load Chat Memory Data

Memory Manager

#21

First Prompt Result

Execution Data

#22

Second Prompt Result

Execution Data

#23

Split Out Parsed Results

Split Out

#24

Filter Second Prompt Results

Filter

#25

Filter First Prompt Results

Filter

#26

Sticky Note3

Sticky Note

#27

Sticky Note4

Sticky Note

#28

Sticky Note5

Sticky Note

#29

Sticky Note6

Sticky Note

#30

Sticky Note7

Sticky Note

#31

Sticky Note8

Sticky Note

#32

Sticky Note9

Sticky Note

#33

Sticky Note10

Sticky Note

#34

Sticky Note11

Sticky Note

#35

Join two example requests into array

Merge

#36

Append execution data for single query example

Set

#37

Append execution data for chat memory example

Set

#38

Truncate Chat Memory

Memory Manager

#39