AutomationFlows › Memoryredischat

n8n workflows for Memoryredischat.

All n8n workflows that use the Memoryredischat integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.

Most-used Memoryredischat workflows

  1. Bread-meat-delivery (91 nodes)
  2. Woorifisa — n8n Memoryredischat workflow (86 nodes)
  3. My Workflow 7 (77 nodes)
  4. My Workflow 7 (open Ai) — n8n Memoryredischat workflow (77 nodes)
  5. Automate Salon Appointment Management with Whatsapp, Gpt & Google Calendar (71 nodes)
  6. Flux — n8n Memoryredischat workflow (67 nodes)
  7. Multi-agent Salon Appointment Management with Telegram, Gpt5-mini & Claude Mcp (67 nodes)
  8. Heydinastia — n8n Memoryredischat workflow (66 nodes)
  9. Agent: Iptv (instance_e2165d22_1762376395079) (56 nodes)
  10. AI Sales Development Representative for Whatsapp Leads — n8n Memoryredischat workflow (53 nodes)
AI & RAG

Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.

OpenAI Chat, Agent, HTTP Request +14
AI & RAG

WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.

Agent, HTTP Request, Document Default Data Loader +14
AI & RAG

My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.

OpenAI, Redis, HTTP Request +8
AI & RAG

My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.

OpenAI, Redis, HTTP Request +8
AI & RAG

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

WhatsApp Trigger, WhatsApp, Redis +11
AI & RAG

Flux. Uses lmChatOpenAi, agent, googleGemini, httpRequest. Webhook trigger; 67 nodes.

OpenAI Chat, Agent, Google Gemini +8
AI & RAG

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

Redis, Agent Tool, Google Calendar +10
AI & RAG

HeyDinastia. Uses executeCommand, httpRequest, youTube, postgres. Webhook trigger; 66 nodes.

Execute Command, HTTP Request, YouTube +15
AI & RAG

Agent: IPTV (instance_e2165d22_1762376395079). Uses openAi, redis, supabase, httpRequest. Webhook trigger; 56 nodes.

OpenAI, Redis, Supabase +7
AI & RAG

AI Sales Development Representative for WhatsApp Leads. Uses supabase, redis, agent, lmChatOpenAi. Webhook trigger; 53 nodes.

Supabase, Redis, Agent +5
AI & RAG

Fluxo Nia App - Agendamento Multi-tenant. Uses redis, httpRequest, openAi, whatsApp. Webhook trigger; 52 nodes.

Redis, HTTP Request, OpenAI +6
AI & RAG

Workflow Backend First. Uses ssh, agent, httpRequest, lmChatAnthropic. Event-driven trigger; 50 nodes.

Ssh, Agent, HTTP Request +5
AI & RAG

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.

High Level, HTTP Request, WhatsApp +5
AI & RAG

SDR NINJA | WhatsApp | Texto, Áudio, Documentos, Imagens. Uses redis, executionData, memoryRedisChat, openAi. Webhook trigger; 45 nodes.

Redis, Execution Data, Memory Redis Chat +2
AI & RAG

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.

In-Memory Vector Store, OpenAI Embeddings, Document Default Data Loader +8
AI & RAG

Audio. Uses n8n-nodes-evolution-api, openAi, agent, memoryRedisChat. Webhook trigger; 41 nodes.

N8N Nodes Evolution Api, OpenAI, Agent +5
AI & RAG

Telegram Redis. Uses telegramTrigger, telegram, redis, googleSheets. Event-driven trigger; 40 nodes.

Telegram Trigger, Telegram, Redis +8
AI & RAG

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

Telegram Trigger, Telegram, Redis +8
AI & RAG

SDR Instagram. Uses httpRequest, openAi, memoryRedisChat, executionData. Webhook trigger; 40 nodes.

HTTP Request, OpenAI, Memory Redis Chat +2
AI & RAG

Telegram Code. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.

Telegram, Redis, OpenAI Chat +7
AI & RAG

Workflow 3350. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.

Telegram, Redis, OpenAI Chat +7
AI & RAG

3350. Uses telegram, redis, lmChatOpenAi, memoryRedisChat. Event-driven trigger; 39 nodes.

Telegram, Redis, OpenAI Chat +7
AI & RAG

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

Telegram, Redis, OpenAI Chat +7
AI & RAG

agente wpp audio msg separada. Uses agent, lmChatOpenAi, n8n-nodes-evolution-api, toolThink. Webhook trigger; 39 nodes.

Agent, OpenAI Chat, N8N Nodes Evolution Api +6
AI & RAG

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

Agent, Google Gemini Chat, Output Parser Structured +7
AI & RAG

B.IA-v.0.3.0. Uses agent, lmChatGroq, n8n-nodes-evolution-api, httpRequest. Webhook trigger; 37 nodes.

Agent, Groq Chat, N8N Nodes Evolution Api +7
AI & RAG

Youtube Video Explanation: https://youtu.be/A9IURUQlvQs?si=l5USqTcSmCEBEORP

Agent, Google Gemini Chat, Output Parser Structured +7
AI & RAG

Agente de Agendamento YT (V.2). Uses googleSheets, n8n-nodes-evolution-api, openAi, redis. Webhook trigger; 36 nodes.

Google Sheets, N8N Nodes Evolution Api, OpenAI +10
AI & RAG

ÁncorA v5 — WhatsApp Completo (Texto + Voz + Foto + Disparo). Uses agent, lmChatGoogleGemini, memoryRedisChat, httpRequest. Webhook trigger; 35 nodes.

Agent, Google Gemini Chat, Memory Redis Chat +2
AI & RAG

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

Postgres Tool, Memory Redis Chat, Google Gemini Chat +1
AI & RAG

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

Telegram Trigger, Agent, Google Gemini Chat +6
AI & RAG

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

N8N Nodes Globals, HTTP Request, Google Sheets +8
AI & RAG

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

Redis, OpenAI Chat, Agent +2
AI & RAG

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

HTTP Request Tool, Memory Redis Chat, Agent +5
AI & RAG

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

OpenAI Chat, Memory Redis Chat, Chat Trigger +6
AI & RAG

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

Mcp Trigger, Google Sheets Tool, Google Docs Tool +8
AI & RAG

My workflow 15. Uses redis, agent, n8n-nodes-evolution-api, lmChatOpenAi. Webhook trigger; 19 nodes.

Redis, Agent, N8N Nodes Evolution Api +4
AI & RAG

Estetica. Uses httpRequest, n8n-nodes-supabase, supabase, agent. Webhook trigger; 19 nodes.

HTTP Request, N8N Nodes Supabase, Supabase +4
AI & RAG

VocTest — Chat Conversacional. Uses redis, lmChatOpenAi, memoryRedisChat, agent. Webhook trigger; 18 nodes.

Redis, OpenAI Chat, Memory Redis Chat +2
AI & RAG

VocTest — Chat Conversacional. Uses redis, lmChatOpenAi, memoryRedisChat, agent. Webhook trigger; 18 nodes.

Redis, OpenAI Chat, Memory Redis Chat +2
AI & RAG

This workflow is divided into three functional phases: Initialization, AI Processing, and Response Delivery.

Slack Trigger, Slack, HTTP Request +4
AI & RAG

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.

OpenAI Embeddings, Document Default Data Loader, Chat Trigger +5
AI & RAG

Youtube Video For Workflow Explanation: https://youtu.be/3VTYQU7N6uU

Agent, Google Gemini Chat, Memory Redis Chat +4
AI & RAG

Siscad DB AI Memory Buffer. Uses chatTrigger, lmChatGoogleGemini, postgres, chainLlm. Chat trigger; 15 nodes.

Chat Trigger, Google Gemini Chat, Postgres +3
AI & RAG

Whatsapp v1.1. Uses lmChatGoogleGemini, n8n-nodes-waha, agent, memoryRedisChat. Webhook trigger; 15 nodes.

Google Gemini Chat, N8N Nodes Waha, Agent +2
AI & RAG

friday. Uses lmChatOpenAi, outputParserStructured, toolCalculator, memoryRedisChat. Webhook trigger; 14 nodes.

OpenAI Chat, Output Parser Structured, Tool Calculator +6
AI & RAG

Schedule appointments from phone calls with AI using Twilio and ElevenLabs

Google Calendar Tool, Tool Think, Anthropic Chat +2
AI & RAG

Fushimi Bot. Uses agent, lmChatAnthropic, memoryRedisChat, httpRequest. Webhook trigger; 11 nodes.

Agent, Anthropic Chat, Memory Redis Chat +2
AI & RAG

whats. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.

Agent, Google Gemini Chat, Memory Redis Chat +1
AI & RAG

WhatsApp. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.

Agent, Google Gemini Chat, Memory Redis Chat +1
AI & RAG

Chatbot-Pizzaria-Gemini. Uses agent, lmChatGoogleGemini, memoryRedisChat, n8n-nodes-waha. Webhook trigger; 8 nodes.

Agent, Google Gemini Chat, Memory Redis Chat +1
AI & RAG

jarvis. Uses agent, lmChatOpenAi, outputParserStructured, toolWorkflow. Webhook trigger; 13 nodes.

Agent, OpenAI Chat, Output Parser Structured +3
AI & RAG

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

Tool Calculator, Discord, OpenAI Chat +2
AI & RAG

noc_zabbix_ai_triage_agent. Uses agent, memoryRedisChat, lmChatOllama, outputParserStructured. Webhook trigger; 11 nodes.

Agent, Memory Redis Chat, Ollama Chat +6
AI & RAG

Agente GPT Deep. Uses chatTrigger, memoryRedisChat, toolWorkflow, redis. Chat trigger; 10 nodes.

Chat Trigger, Memory Redis Chat, Tool Workflow +4
AI & RAG

n8n_Futmatch. Uses n8n-nodes-discord-trigger, agent, lmChatGoogleGemini, memoryRedisChat. Event-driven trigger; 9 nodes.

N8N Nodes Discord Trigger, Agent, Google Gemini Chat +4
AI & RAG

AGENTE. Uses chatTrigger, agent, lmChatOpenRouter, memoryRedisChat. Chat trigger; 7 nodes.

Chat Trigger, Agent, OpenRouter Chat +4
AI & RAG

main_agent. Uses slackTrigger, agent, memoryRedisChat, slack. Event-driven trigger; 7 nodes.

Slack Trigger, Agent, Memory Redis Chat +2
AI & RAG

Agente Estacionamento Veículos. Uses chatTrigger, agent, lmChatOpenAi, memoryRedisChat. Chat trigger; 6 nodes.

Chat Trigger, Agent, OpenAI Chat +2
AI & RAG

教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.

Google Gemini Chat, HTTP Request, Memory Redis Chat +3
AI & RAG

教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.

Google Gemini Chat, HTTP Request, Memory Redis Chat +3
AI & RAG

Example agent workflow. Uses chatTrigger, agent, lmChatOllama, httpRequestTool. Chat trigger; 6 nodes.

Chat Trigger, Agent, Ollama Chat +3

62 of 62 workflows in this view · Browse all →

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.