AI Agents

Automate X posts with intelligent context and memory management

39 nodes 295 145 Automatic trigger
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Workflow Description

Advanced workflow that receives content, processes it through smart agents, stores context in memory, and automatically publishes to X with performance tracking. Ensures message consistency and logical sequencing by maintaining historical context and applying intelligent filtering.

How it works

  1. 1.Receive content from multiple sources via manual or automated triggers
  2. 2.Process and filter data using conditional logic and custom functions
  3. 3.Store context and historical data in the memory system
  4. 4.Format messages according to retrieved context from memory buffer
  5. 5.Publish optimized content to X platform
  6. 6.Log results and update memory for future workflow iterations

Use cases

  • Publish product updates to X with consistent messaging and proper timing
  • Manage multi-stage marketing campaigns while preventing message conflicts
  • Automate content distribution from diverse sources while maintaining brand voice

Requirements

  • Active X account with valid API credentials and proper authentication
  • Carefully designed filter rules and conditions tailored to content requirements
  • Understanding of memory system and context management for message quality

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 295
Downloads 145

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

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