✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router

Overview

✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router (40-node n8n automation, chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" is an n8n automation built from 40 nodes spanning chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent. 40 nodes · chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

• Benchmark it against your current chat integration to spot missing steps or redundant nodes.
• Fork it to add error handling, retries, or a notification step without designing the 40-node flow from scratch.
• Use it as a starting template when wiring chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent — adjust node parameters to your accounts and record IDs.
• Import "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" into n8n, reconnect credentials for chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent, and run the same automation in your own workspace.

Example output

Imported into n8n, "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" exposes 40 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent. Set your credentials on the chat node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

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Frequently asked questions

How do I import "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" into n8n?

Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.

Which integrations does "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" use?

It uses: chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent. The flow diagram above shows how each service connects across the 40 nodes. Filter OpenRuna by integration to find related workflows and tools.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own chat and postgresTool credentials in n8n after import.

What trigger type does "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" use?

Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.

Is "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router" free to use?

OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for chat, postgresTool, executeWorkflow, toolWorkflow, httpRequest, outputParserStructured, lmChatOpenAi, agent.