Slack AI Chatbot with Threads & Thinking UI (OpenRouter + Postgres)
Builds an advanced Slack AI agent with multi-thread support, thinking UI, and quick pinning. Uses OpenRouter for AI and Postgres for persistent conversations.
This n8n workflow creates a sophisticated Slack AI chatbot using Slack's new AI Apps & Agents API. It enables multiple simultaneous chat threads with a single user, displays a 'three dots' thinking UI during processing, and supports pinning the app to the Slack top bar for instant access. Ideal for seamless AI interactions within Slack workspaces.
Key integrations include OpenRouter for flexible, cost-effective access to various AI models and Postgres for storing conversation history, ensuring context-aware responses across threads. The workflow handles incoming Slack events via webhook, processes messages intelligently, and responds with rich formatting.
Benefits include rapid deployment of production-ready AI agents without custom coding, time savings on API handling, and enhanced user experience through native Slack features. Use cases: internal team assistants, customer support bots, knowledge base queries, or any threaded AI conversation in Slack.
Setup requires creating a Slack app with specific scopes (assistant:write, chat:write, etc.), enabling event subscriptions to the workflow's webhook, installing Postgres, and configuring n8n credentials. A full YouTube tutorial is available for guidance.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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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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