When you need Memory Buffer Window and WhatsApp talking to each other, here are the 93 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair Memory Buffer Window with WhatsApp
This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle
📌 Overview
The "WhatsApp Productivity Assistant with Memory and AI Imaging" is a comprehensive n8n workflow that transforms your WhatsApp into a powerful, multi-talented AI assistant. It's designed to handle a w
Whatsapp-Bot-Flow. Uses whatsappTrigger, agent, supabase, whatsapp. Event-driven trigger; 60 nodes.
48_WAgentEnhancement. Uses whatsAppTrigger, whatsApp, openAi, httpRequest. Event-driven trigger; 56 nodes.
This template is designed for anyone who wants to use WhatsApp as a personal AI assistant hub. If you often juggle tasks, emails, calendars, and expenses across multiple tools, this workflow consolida
A production-ready 3-workflow system that handles customer support across WhatsApp and Email using RAG-powered AI. Automatically routes queries, detects escalation intent, logs handoffs to Google Shee
This n8n-powered workflow automates the entire lifecycle of real estate lead intake, qualification, routing, assignment, and reporting across multiple channels. It brings WhatsApp inquiries and websit
Top Branch Workflow A The Market Intelligence: Patrols the Market: Runs hourly to scrape competitor rates for future days. Gathers Intel: If prices spike, it instantly checks event announcements to se
📺 Full walkthrough video: https://youtu.be/-kpt0BwjKls
This workflow builds a WhatsApp business assistant that uses OpenAI to classify incoming messages and route them to FAQ answers via Pinecone RAG, order placement and inventory updates in Google Sheets
WhatsApp AI Assistant for Clinic Appointment Booking Automate your entire appointment lifecycle with an intelligent AI assistant that lives on WhatsApp. This workflow empowers any clinic or independen
Wait Splitout. Uses whatsAppTrigger, whatsApp, httpRequest, memoryBufferWindow. Event-driven trigger; 35 nodes.
Wait Splitout. Uses whatsAppTrigger, whatsApp, httpRequest, memoryBufferWindow. Event-driven trigger; 35 nodes.
4827. Uses agent, lmChatOpenAi, embeddingsOpenAi, memoryBufferWindow. Event-driven trigger; 35 nodes.
Template. Uses whatsApp, httpRequest, memoryBufferWindow, toolWikipedia. Webhook trigger; 35 nodes.
This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of product documentation and enable AI-driven,
This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agen
This workflow implements a WhatsApp-based virtual restaurant assistant that automates customer interaction from the first message to post-dining follow-up.
Whatsapp AI-Powered Chatbot. Uses whatsAppTrigger, httpRequest, openAi, lmChatOpenAi. Event-driven trigger; 35 nodes.
Whatsapp. Uses agent, lmChatOpenAi, embeddingsOpenAi, memoryBufferWindow. Event-driven trigger; 35 nodes.
This AI agent manages your Streak CRM via WhatsApp. Send messages to create contacts, add boxes to pipelines, update stages, link contacts to boxes, and retrieve information, add and get tasks all thr
AI-Powered WhatsApp Chatbot for Text, Voice, Images & PDFs. Uses whatsAppTrigger, httpRequest, openAi, lmChatOpenAi. Event-driven trigger; 32 nodes.
This workflow is a highly advanced multimodal AI assistant designed to operate through WhatsApp. It can understand and respond to text, images, voice messages, and PDF documents by combining OpenAI mo
See more Memory Buffer Window workflows · WhatsApp workflows
FAQ
How do I trigger a WhatsApp action from Memory Buffer Window?
Most workflows in this list use either a Memory Buffer Window webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream WhatsApp nodes handle the action. Open any workflow's detail page to see the exact node graph.
Do I need both a Memory Buffer Window and a WhatsApp account?
Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.
Are these Memory Buffer Window → WhatsApp workflows free?
Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.