Build an intelligent agent that interacts via Twitter using OpenAI
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Workflow Description
An automation that receives commands through direct messaging, processes requests using OpenAI while maintaining conversation history, then posts responses to Twitter/X or executes custom actions based on conditional logic.
How it works
- 1.Receive commands and messages via chat trigger
- 2.Process text with OpenAI while preserving historical context
- 3.Apply conditional rules to determine the appropriate action
- 4.Execute custom tools and code based on request type
- 5.Publish results to Twitter or store data
Use cases
- Smart assistant that replies to follower queries directly on Twitter
- Autonomous agent that performs automated tasks based on natural language commands
- Advanced conversation management system that retains context across long dialogues
Requirements
- Active OpenAI account with API key
- Twitter/X account with publishing and reading permissions
- Memory storage to maintain context between conversations
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (13)
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
When chat message received
Chat Trigger
OpenAI
OpenAI
Simple Memory
Memory Buffer Window
When Executed by Another Workflow
Execute Workflow Trigger
Tool to call the workflow below
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Tool Code
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Mapping data1
Code
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