Build an Interactive Slack AI Chatbot with OpenRouter and Postgres - n8n Workflow | Neura Market

    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
    Free
    Creator
    Santiago Lopez
    • if
    • noOp
    • slack
    • stickyNote
    • httpRequest
    • slackTrigger
    • agent
    • lmChatOpenRouter
    • memoryPostgresChat
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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