Build an Interactive Slack AI Chatbot with OpenRouter and Postgres
Create a Slack AI chatbot that supports multiple chat threads, a thinking UI, and chat history storage using OpenRouter and Postgres.
This workflow guides you through building a sophisticated Slack AI chatbot. It leverages Slack's API to manage multiple chat threads and display a 'thinking' UI while processing messages. The chatbot uses OpenRouter for AI capabilities and stores chat history in a Postgres database, enabling a persistent memory for ongoing conversations. This setup allows for a highly interactive and responsive user experience.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Santiago Lopez
- if
- noOp
- slack
- stickyNote
- httpRequest
- slackTrigger
- agent
- lmChatOpenRouter
- memoryPostgresChat
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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