Most-used Memoryredischat workflows
- Bread-meat-delivery (91 nodes)
- Woorifisa — n8n Memoryredischat workflow (86 nodes)
- My Workflow 7 (77 nodes)
- My Workflow 7 (open Ai) — n8n Memoryredischat workflow (77 nodes)
- Automate Salon Appointment Management with Whatsapp, Gpt & Google Calendar (71 nodes)
- Flux — n8n Memoryredischat workflow (67 nodes)
- Multi-agent Salon Appointment Management with Telegram, Gpt5-mini & Claude Mcp (67 nodes)
- Heydinastia — n8n Memoryredischat workflow (66 nodes)
- Agent: Iptv (instance_e2165d22_1762376395079) (56 nodes)
- AI Sales Development Representative for Whatsapp Leads — n8n Memoryredischat workflow (53 nodes)
Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.
WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.
My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.
My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.
Transform your salon/service business with this streamlined WhatsApp automation system featuring Claude integration, zero-setup database management, and intelligent conversation handling. Claude MCP I
Flux. Uses lmChatOpenAi, agent, googleGemini, httpRequest. Webhook trigger; 67 nodes.
Transform your salon/service business with this streamlined Telegram automation system featuring Claude integration, zero-setup database management, and intelligent conversation handling. Claude MCP I
HeyDinastia. Uses executeCommand, httpRequest, youTube, postgres. Webhook trigger; 66 nodes.
Agent: IPTV (instance_e2165d22_1762376395079). Uses openAi, redis, supabase, httpRequest. Webhook trigger; 56 nodes.
AI Sales Development Representative for WhatsApp Leads. Uses supabase, redis, agent, lmChatOpenAi. Webhook trigger; 53 nodes.
Fluxo Nia App - Agendamento Multi-tenant. Uses redis, httpRequest, openAi, whatsApp. Webhook trigger; 52 nodes.
Workflow Backend First. Uses ssh, agent, httpRequest, lmChatAnthropic. Event-driven trigger; 50 nodes.
This project is specifically built for an HVAC business to automatically upsell to old customers when their locality has a heatwave or snow wave forecast in the upcoming five days.
SDR NINJA | WhatsApp | Texto, Áudio, Documentos, Imagens. Uses redis, executionData, memoryRedisChat, openAi. Webhook trigger; 45 nodes.
This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built by scraping the company's website.
Audio. Uses n8n-nodes-evolution-api, openAi, agent, memoryRedisChat. Webhook trigger; 41 nodes.
Telegram Redis. Uses telegramTrigger, telegram, redis, googleSheets. Event-driven trigger; 40 nodes.
This n8n template uses a Telegram chatbot to conduct a Product Satisfaction Survey and fetches questions and stores answers in a Google sheet. It augments an AI Agent to ask follow-up questions to eng
SDR Instagram. Uses httpRequest, openAi, memoryRedisChat, executionData. Webhook trigger; 40 nodes.
Telegram Code. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.
Workflow 3350. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.
3350. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.
In this experiment, we play with the idea of states we want our agent to be in which controls it's interacton with the user. First state* - the agent is onboarding the user by collecting their details
agente wpp audio msg separada. Uses agent, lmChatOpenAi, n8n-nodes-evolution-api, toolThink. Webhook trigger; 39 nodes.
This workflow captures new leads via webhook, enriches them with Apify-powered Google AI search, scores them using Google Gemini, and updates HighLevel CRM while sending WhatsApp template messages; it
B.IA-v.0.3.0. Uses agent, lmChatGroq, n8n-nodes-evolution-api, httpRequest. Webhook trigger; 37 nodes.
Youtube Video Explanation: https://youtu.be/A9IURUQlvQs?si=l5USqTcSmCEBEORP
Agente de Agendamento YT (V.2). Uses googleSheets, n8n-nodes-evolution-api, openAi, redis. Webhook trigger; 36 nodes.
ÁncorA v5 — WhatsApp Completo (Texto + Voz + Foto + Disparo). Uses agent, lmChatGoogleGemini, memoryRedisChat, httpRequest. Webhook trigger; 35 nodes.
This workflow exposes a Basic Auth webhook that routes infrastructure questions to a IA agent, which queries a Zabbix PostgreSQL database for host, alert, and performance metrics and returns a Markdow
When we text or chat casually, it's not uncommon to break our sentences over multiple messages or when it comes to voice, break our speech with the odd pause or umms and ahhs. If an agent replies to e
If you teach on Udemy at any meaningful scale, you already know the problem: 80% of student messages are variations of the same handful of questions, but every one of them needs a thoughtful reply to
This workflow solves a critical problem in AI chat implementations: handling multiple rapid messages naturally without creating processing bottlenecks. Unlike traditional approaches where every user w
Complete Airtable database management system using MCP (Model Context Protocol) for AI agents. Create bases, tables with complex field types, manage records, and maintain state with Redis storage. Add
Your LLM is answering the same questions over and over. "What's the weather?" "How's the weather today?" "Tell me about the weather." Same answer, three API calls, triple the cost. This workflow fixes
Template Overview This workflow demonstrates how to build a simple Telegram bot that can schedule events, check service prices, and query company documents using AI integrated with MCP and RAG. It’s d
My workflow 15. Uses redis, agent, n8n-nodes-evolution-api, lmChatOpenAi. Webhook trigger; 19 nodes.
Estetica. Uses httpRequest, n8n-nodes-supabase, supabase, agent. Webhook trigger; 19 nodes.
VocTest — Chat Conversacional. Uses redis, lmChatOpenAi, memoryRedisChat, agent. Webhook trigger; 18 nodes.
VocTest — Chat Conversacional. Uses redis, lmChatOpenAi, memoryRedisChat, agent. Webhook trigger; 18 nodes.
This workflow is divided into three functional phases: Initialization, AI Processing, and Response Delivery.
Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that.
Youtube Video For Workflow Explanation: https://youtu.be/3VTYQU7N6uU
Siscad DB AI Memory Buffer. Uses chatTrigger, lmChatGoogleGemini, postgres, chainLlm. Chat trigger; 15 nodes.
Whatsapp v1.1. Uses lmChatGoogleGemini, n8n-nodes-waha, agent, memoryRedisChat. Webhook trigger; 15 nodes.
friday. Uses lmChatOpenAi, outputParserStructured, toolCalculator, memoryRedisChat. Webhook trigger; 14 nodes.
Schedule appointments from phone calls with AI using Twilio and ElevenLabs
Fushimi Bot. Uses agent, lmChatAnthropic, memoryRedisChat, httpRequest. Webhook trigger; 11 nodes.
whats. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.
WhatsApp. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.
Chatbot-Pizzaria-Gemini. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.
jarvis. Uses agent, lmChatOpenAi, outputParserStructured, toolWorkflow. Webhook trigger; 13 nodes.
Description: This n8n workflow automates a Discord bot to fetch messages from a specified channel and send AI-generated responses in threads. It ensures smooth message processing and interaction, maki
noc_zabbix_ai_triage_agent. Uses agent, memoryRedisChat, lmChatOllama, outputParserStructured. Webhook trigger; 11 nodes.
Agente GPT Deep. Uses chatTrigger, memoryRedisChat, toolWorkflow, redis. Chat trigger; 10 nodes.
n8n_Futmatch. Uses n8n-nodes-discord-trigger, agent, lmChatGoogleGemini, memoryRedisChat. Event-driven trigger; 9 nodes.
AGENTE. Uses chatTrigger, agent, lmChatOpenRouter, memoryRedisChat. Chat trigger; 7 nodes.
main_agent. Uses slackTrigger, agent, memoryRedisChat, slack. Event-driven trigger; 7 nodes.
Agente Estacionamento Veículos. Uses chatTrigger, agent, lmChatOpenAi, memoryRedisChat. Chat trigger; 6 nodes.
教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.
教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.
Example agent workflow. Uses chatTrigger, agent, lmChatOllama, httpRequestTool. Chat trigger; 6 nodes.
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FAQ
How many n8n Memoryredischat workflows are in the catalog?
62 n8n workflows in AutomationFlows currently use the Memoryredischat integration — triggers, actions, or both.
How do I connect Memoryredischat in n8n?
After importing the workflow JSON, n8n will prompt for Memoryredischat credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Memoryredischat workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.