AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs

Overview

AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs (15-node n8n automation, memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

This n8n workflow, "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs", wires together memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm in 15 nodes. 15 nodes · memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest Execution begins at the scheduled/triggered trigger and flows through the 15 configured nodes. 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

• Fork it to add error handling, retries, or a notification step without designing the 15-node flow from scratch.
• Benchmark it against your current memoryManager integration to spot missing steps or redundant nodes.
• Import "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" into n8n, reconnect credentials for memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm, and run the same automation in your own workspace.
• Use it as a starting template when wiring memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" exposes 15 configured nodes. Trigger type: scheduled/triggered. Integrations: memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm. Open each node after import to map credentials to your own memoryManager and aggregate accounts. 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 "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" 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 "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" use?

It uses: memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm. The flow diagram above shows how each service connects across the 15 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 memoryManager and aggregate credentials in n8n after import.

What trigger type does "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" 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 "AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs" 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 memoryManager, aggregate, memoryBufferWindow, lmChatGoogleGemini, respondToWebhook, httpRequest, limit, chainLlm.