Most-used Memory Manager workflows
- Wordpress Content Assistant: Article Recommendations & Q&a with Mistral AI (63 nodes)
- 99problems — n8n Memory Manager workflow (55 nodes)
- Process Multiple Prompts in Parallel with Azure Openai Batch API (53 nodes)
- Llm-chat-sqls — n8n Memory Manager workflow (52 nodes)
- Conversational Interviews with AI Agents and N8n Forms (40 nodes)
- Conversational Interviews with AI Agents and N8n Forms (memory Manager) — n8n Memory Manager workflow (40 nodes)
- Telegram Redis (40 nodes)
- My Workflow 3 (agent) — n8n Memory Manager workflow (40 nodes)
- Conversational Interviews with AI Agents and N8n Forms (memory Manager) (memory Manager) (40 nodes)
- Create Product Satisfaction Surveys with Telegram, Google Sheets and AI — n8n Memory Manager workflow (40 nodes)
This template attempts to create an AI-powered content assistant for WordPress sites using Mistral AI, enabling article recommendations, content summarization, and contextual Q&A capabilities.
99problems. Uses agent, gmailTool, mattermostTool, googleSheets. Scheduled trigger; 55 nodes.
This workflow is designed for developers and data scientists who want to efficiently send multiple prompts to the Azure OpenAI Batch API and retrieve responses in a single batch process. It is particu
Llm-Chat-Sqls. Uses agent, memoryManager, crypto, postgres. Webhook trigger; 52 nodes.
Conversational Interviews With Ai Agents And N8N Forms. Uses memoryManager, stickyNote, formTrigger, form. Event-driven trigger; 40 nodes.
Conversational Interviews With Ai Agents And N8N Forms. Uses memoryManager, stickyNote, formTrigger, form. Event-driven trigger; 40 nodes.
Telegram Redis. Uses telegramTrigger, telegram, redis, googleSheets. Event-driven trigger; 40 nodes.
My workflow 3. Uses agent, memoryManager, memoryBufferWindow, postgres. Webhook trigger; 40 nodes.
This n8n template combines an AI agent with n8n's multi-page forms to create a novel interaction which allows automated question-and-answer sessions. One of the more obvious use-cases of this interact
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
Wait Splitout. Uses httpRequest, executeWorkflowTrigger, stickyNote, manualTrigger. Event-driven trigger; 39 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.
Workflow 3409. Uses httpRequest, executeWorkflowTrigger, memoryBufferWindow, memoryManager. 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
This workflow template provides a robust solution for efficiently sending multiple prompts to Anthropic's Claude models in a single batch request and retrieving the results. It leverages the Anthropic
LLM Chaining examples. Uses manualTrigger, httpRequest, markdown, stickyNote. Event-driven trigger; 38 nodes.
This workflow demonstrates three distinct approaches to chaining LLM operations using Claude 3.7 Sonnet. Connect to any section to experience the differences in implementation, performance, and capabi
Telegram Ai Bot. Uses openAi, httpRequest, agent, memoryBufferWindow. Webhook trigger; 38 nodes.
Jacobo Chatbot V2. Uses agent, memoryBufferWindow, toolThink, httpRequest. Webhook trigger; 37 nodes.
B.IA-v.0.3.0. Uses agent, lmChatGroq, n8n-nodes-evolution-api, httpRequest. Webhook trigger; 37 nodes.
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Heartbeat. Uses postgres, telegram, chainLlm, lmChatOpenRouter. Scheduled trigger; 34 nodes.
n8n telegram RAG. Uses lmChatGoogleGemini, embeddingsGoogleGemini, memoryManager, vectorStoreSupabase. Event-driven trigger; 32 nodes.
Flexible and scalable chatbot template, designed mainly for Spanish conversations but capable of handling English and other languages. Integrates Google Gemini API for text and image generation, and T
Telegram bot. Uses telegramTrigger, embeddingsOllama, lmChatOllama, toolVectorStore. Event-driven trigger; 26 nodes.
nl2sql. Uses stickyNote, agent, lmChatDeepSeek, respondToWebhook. Webhook trigger; 25 nodes.
Speech Support Workflow. Uses agent, lmChatGoogleGemini, telegramTrigger, telegram. Event-driven trigger; 22 nodes.
This n8n workflow acts as your personal AI speechwriting coach, directly accessible through Telegram. It listens to your spoken or typed drafts, provides insightful feedback on clarity, engagement, st
Easily Compare LLMs Using OpenAI and Google Sheets. Uses chatTrigger, splitInBatches, memoryBufferWindow, memoryManager. Chat trigger; 21 nodes.
Chat with an AI and ask questions about your Meta Ads metrics.
This template obtains all the possible tools from Bright Data MCP, process this through chatbot, then run any tool based on the user's query
This template provides a high-performance, cost-optimized alternative to standard AI Agents for building RAG (Retrieval-Augmented Generation) chatbots.
Clinic.AI. Uses memoryBufferWindow, toolWorkflow, notion, lmChatOpenAi. Event-driven trigger; 20 nodes.
Whatsapp. Uses memoryManager, lmChatGoogleVertex, outputParserStructured, agent. Webhook trigger; 19 nodes.
Wait Redis. Uses lmChatOpenAi, noOp, redis, memoryBufferWindow. Event-driven trigger; 18 nodes.
Wait Redis. Uses lmChatOpenAi, noOp, redis, memoryBufferWindow. Event-driven trigger; 18 nodes.
2346. Uses lmChatOpenAi, redis, memoryBufferWindow, twilioTrigger. Event-driven trigger; 18 nodes.
Workflow 2346. Uses lmChatOpenAi, redis, memoryBufferWindow, twilioTrigger. Event-driven trigger; 18 nodes.
This n8n workflow demonstrates a simple approach to improve chat UX by staggering an AI Agent's reply for users who send in a sequence of partial messages and in short bursts. Twilio webhook receives
This n8n template demonstrates a simple AI Agent that can: Scrape information from a provided listing link. Answer questions about a specific property using the scraped information. Use SerpAPI* to fi
This n8n template lets you build a smart AI chat assistant that can handle text, images, and PDFs — using OpenAI's GPT-4o multimodal model. It supports dynamic conversations and file analysis, making
AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs. Uses memoryManager, stickyNote, memoryBufferWindow, lmChatGoogleGemini. Webhook trigger; 15 nodes.
AI Voice Chat using Webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs. Uses memoryManager, stickyNote, memoryBufferWindow, lmChatGoogleGemini. Webhook trigger; 15 nodes.
This workflow is designed for businesses or developers looking to integrate voice-based chat applications with dynamic responses and conversational memory.
Aggregate Stickynote. Uses openAiAssistant, toolCalculator, memoryManager, limit. Chat trigger; 14 nodes.
CPDF : Aula 1 Google Calendar. Uses chatTrigger, lmChatOpenAi, googleCalendarTool, memoryManager. Chat trigger; 14 nodes.
48 of 48 workflows in this view · Browse all →
FAQ
How many n8n Memory Manager workflows are in the catalog?
48 n8n workflows in AutomationFlows currently use the Memory Manager integration — triggers, actions, or both.
How do I connect Memory Manager in n8n?
After importing the workflow JSON, n8n will prompt for Memory Manager 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 Memory Manager workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.