{"workflow":{"id":12885,"name":"Transform chatbots into AI advisors with memory and real-time context","views":138,"recentViews":0,"totalViews":138,"createdAt":"2026-01-21T20:31:05.063Z","description":"## How it works\n• Receives a user message from a chat \n• Uses an LLM node to understand user intent and generate a response\n• Retrieves and stores conversation memory in a database (Supabase)\n• Fetches real-time product or business data from an external API (e.g. Shopify)\n• Applies custom logic to ensure a consistent, human-like tone\n• Sends a contextual response back to the user\n\n## Set up steps\n• Import the workflow into n8n\n• Create and connect the required credentials (LLM, database, API)\n• Configure environment variables and placeholders\n• Adjust the prompt and logic to your specific business needs\n• Test the workflow using sample user messages\n","workflow":{"id":"wVfxcbqFblPvcbpK","meta":{"instanceId":"fc542c1c50834db93f4c2ec54f0b22e845aa07e55bbdcab4ae51fd60fe13f015","templateCredsSetupCompleted":true},"name":"n8n - Agent with Memory and Strategy","tags":[],"nodes":[{"id":"481dfc28-ff80-4041-b160-b3a793228a39","name":"Code in JavaScript","type":"n8n-nodes-base.code","position":[-160,-864],"parameters":{"jsCode":"// Este código solo extrae el texto del mensaje y el chat_id de manera garantizada.\n\n// 1. Extraer el texto del usuario\nconst chatMessage = $json.message.text || \"\";\n\n// 2. Extraer el ID del chat\nconst chatId = $json.message.chat.id || 0;\n\n// 3. Devolver un objeto limpio con solo los datos que el flujo necesita.\n// Esto garantiza que el AI Agent reciba el texto como '$json.text' y el ID como '$json.chat_id'.\nreturn [\n    {\n        json: {\n            text: chatMessage,\n            chat_id: chatId\n        }\n    }\n];"},"typeVersion":2},{"id":"824a2fe4-81cf-437b-af4e-529b90666055","name":"Telegram Trigger","type":"n8n-nodes-base.telegramTrigger","position":[-432,-864],"webhookId":"80b6801c-e25c-46f3-82b6-e1a6d9c9f819","parameters":{"updates":["message"],"additionalFields":{}},"credentials":{"telegramApi":{"id":"RS6xBLhzi9OjHy7E","name":"Telegram account"}},"typeVersion":1.2},{"id":"97b40d4f-b79f-47b4-b996-3abdcc176cd2","name":"Send a text message","type":"n8n-nodes-base.telegram","position":[1344,-864],"webhookId":"727b538c-4185-48f0-82b1-9e1123877594","parameters":{"text":"={{ $json.response }}","chatId":"={{ $('Code in JavaScript').first().json.chat_id }}","additionalFields":{}},"credentials":{"telegramApi":{"id":"RS6xBLhzi9OjHy7E","name":"Telegram account"}},"typeVersion":1.2},{"id":"0c5c9907-652d-4dab-a6c4-fab1521da07a","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[448,-576],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"gpt-4o-mini"},"options":{},"builtInTools":{}},"credentials":{"openAiApi":{"id":"J1PaeSb05uBb3olU","name":"OpenAi account"}},"typeVersion":1.3},{"id":"c51b8e6a-99af-4b48-8d01-1c8423acc3f1","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[528,-864],"parameters":{"text":"={{ $('Telegram Trigger').item.json.message.text }}","options":{"systemMessage":"=Eres SOFÍA, la barista experta y proactiva de Zyntha Coffee. Tu misión es guiar al usuario en una experiencia personalizada utilizando la memoria de Postgres y los productos de Shopify.\n\nPROTOCOLO DE BIENVENIDA (OBLIGATORIO):\n1. Revisa el historial. Si NO conoces el nombre del usuario:\n   - Tu ÚNICA respuesta debe ser saludar y preguntar: \"¡Hola! Soy Sofía, tu barista virtual. Antes de empezar, ¿me podrías decir tu nombre para atenderte mejor?\".\n   - NO des información de cafés hasta tener el nombre.\n2. Si ya conoces el nombre (ej: Diego):\n   - Salúdalo siempre por su nombre y pregúntale qué perfil de sabor busca hoy.\n\nREGLA DE PRECISIÓN EN EL CATÁLOGO:\n- Si el usuario pregunta qué cafés hay o pide opciones, DEBES listar los nombres exactos y precios que aparecen en la sección de PRODUCTOS abajo.\n- Prohibido decir \"tenemos una variedad\" sin dar nombres específicos.\n\nREGLA DE FOCO:\n- Si se habla de un café específico (ej: CASTILLO), toda la información técnica y de preparación debe ser sobre ese café únicamente.\n\nFORMATO DE SALIDA (JSON):\n{\n  \"intent\": \"setup | recommendation | question\",\n  \"response\": \"Tu respuesta humana aquí...\",\n  \"product\": \"Nombre del café en discusión o null\",\n  \"qty\": null\n}\n\nPRODUCTOS DISPONIBLES (SHOPIFY):\n{{ $('Get many products').all().map(p => p.json.title + \" (Precio: $\" + p.json.variants[0].price + \")\").join(', ') }}\n\nREGLA DE MEMORIA TOTAL:\n1. Antes de responder, analiza TODO el historial recuperado de Postgres.\n2. Identifica y recuerda: \n   - Nombre del usuario.\n   - Cafés por los que ha preguntado (ej: Caturra, Castillo).\n   - Preferencias de sabor (dulce, ácido, etc.).\n3. Si el usuario dice \"Hola\", no uses el protocolo de bienvenida si ya hay información previa. Di: \"¡Hola [Nombre]! Qué bueno verte de nuevo. ¿Seguimos hablando del café [Último café mencionado] o quieres probar algo más [Gusto del usuario]?\"\n4. NUNCA digas que no sabes algo que ya se mencionó en el chat."},"promptType":"define","hasOutputParser":true},"typeVersion":3},{"id":"e82ddd5b-060b-4fe1-9368-45427751d300","name":"Get many products","type":"n8n-nodes-base.shopify","position":[128,-864],"parameters":{"resource":"product","operation":"getAll","authentication":"oAuth2","additionalFields":{}},"credentials":{"shopifyOAuth2Api":{"id":"thezIuSeAIHhsOpm","name":"Shopify Access Token account"}},"typeVersion":1},{"id":"6b457ea9-4f40-4c3b-bf91-6ee8d20c70e0","name":"Postgres Chat Memory","type":"@n8n/n8n-nodes-langchain.memoryPostgresChat","position":[608,-592],"parameters":{"sessionKey":"={{ $('Code in JavaScript').item.json.chat_id }}","sessionIdType":"customKey","contextWindowLength":30},"credentials":{"postgres":{"id":"J3jIJ3COBTMJhmj2","name":"Postgres account 2"}},"typeVersion":1.3},{"id":"e3e1281d-4353-4e41-83a8-1e6e341e3872","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[-1184,-1296],"parameters":{"width":576,"height":496,"content":"## AI Advisor with Memory and Real-Time Context\n\n### How it works\nThis workflow turns a generic chatbot into an AI advisor that remembers users and responds using real business data.\n\nIt combines user messages, persistent memory, and live product data to generate accurate and human-like responses.\n\n### How to set up\n1. Import the workflow into n8n.\n2. Connect the required credentials (Telegram, OpenAI, Shopify, Postgres).\n3. Configure the database connection for chat memory.\n4. Test the flow by sending a message from Telegram.\n\n### Customization\n• Adjust the system message to match your tone or industry.\n• Replace Shopify with another data source if needed.\n• Change the memory window size depending on your use case.\n"},"typeVersion":1},{"id":"7e4c6da8-895b-43f8-a3c3-5aad74b63561","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[-464,-1168],"parameters":{"color":7,"width":432,"height":480,"content":"## Section 1 — Input & User Identification\n\nReceives the incoming message and extracts the chat_id used to uniquely identify the user.\n\nThis ensures every message can be linked to the correct conversation history.\n"},"typeVersion":1},{"id":"808a70ec-8092-4c8c-ba29-8e950bbb5e39","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[0,-1168],"parameters":{"color":7,"width":336,"height":512,"content":"## Section 2 — Real-Time Context\n\nFetches the live product catalog directly from the store.\n\nThis prevents the AI from hallucinating product names or prices.\n"},"typeVersion":1},{"id":"9d6f718e-b2ab-4c67-aec9-339a85512863","name":"Sticky Note10","type":"n8n-nodes-base.stickyNote","position":[368,-1168],"parameters":{"color":7,"width":512,"height":720,"content":"## Section 3 — AI Reasoning & Memory\n\nCombines user input, historical memory, and real-time data to generate a contextual response.\n\nThis is where personalization, rules, and long-term memory are applied."},"typeVersion":1},{"id":"0120d21c-e550-4e57-9030-66779283d6ef","name":"Sticky Note11","type":"n8n-nodes-base.stickyNote","position":[928,-1168],"parameters":{"color":7,"width":704,"height":544,"content":"## Section 4 — Output & Delivery\n\nValidates that the AI response is valid JSON and applies a fallback if needed.\n\nSends the final, safe response back to the user via Telegram.\n"},"typeVersion":1},{"id":"e5d3f936-e207-40f1-a51e-54d07bcc1632","name":"Code in JavaScript 2","type":"n8n-nodes-base.code","position":[1088,-864],"parameters":{"jsCode":"// Obtenemos la salida del AI Agent\nlet rawResponse = items[0].json.output;\n\ntry {\n  // 1. Intentamos buscar un JSON dentro de la respuesta (por si la IA escribió texto extra)\n  const start = rawResponse.indexOf('{');\n  const end = rawResponse.lastIndexOf('}');\n  \n  if (start !== -1 && end !== -1) {\n    let jsonString = rawResponse.substring(start, end + 1);\n    let parsed = JSON.parse(jsonString);\n    \n    // Si el JSON es válido, lo retornamos tal cual\n    return parsed;\n  }\n  \n  // 2. Si no hay llaves { }, lanzamos un error para ir al bloque 'catch'\n  throw new Error(\"No JSON format found\");\n\n} catch (e) {\n  // 3. RESPUESTA DE SEGURIDAD: Si algo falla, forzamos el protocolo de bienvenida\n  // Esto evita el mensaje de \"me distraje con el aroma\"\n  return {\n    \"intent\": \"setup\",\n    \"response\": \"¡Hola! Soy Sofía, tu barista de Zyntha Coffee. Antes de empezar a hablar de café, me encantaría saber tu nombre para atenderte mejor. ¿Cómo te llamas?\",\n    \"product\": null,\n    \"qty\": null\n  };\n}"},"typeVersion":2},{"id":"2c15000e-c941-4b79-af53-32bf3ae07009","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[1280,-672],"parameters":{"color":3,"width":272,"height":192,"content":"⚠️ Important\n\nThis workflow requires valid JSON output from the AI.\n\nIf you modify the system prompt, make sure the response format is preserved to avoid parsing errors.\n"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"de9e54b3-1362-4ce9-9709-4fc37c1b21ff","connections":{"AI Agent":{"main":[[{"node":"Code in JavaScript 2","type":"main","index":0}]]},"Telegram Trigger":{"main":[[{"node":"Code in JavaScript","type":"main","index":0}]]},"Get many products":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"Code in JavaScript":{"main":[[{"node":"Get many products","type":"main","index":0}]]},"Code in JavaScript 2":{"main":[[{"node":"Send a text message","type":"main","index":0}]]},"Postgres Chat Memory":{"ai_memory":[[{"node":"AI Agent","type":"ai_memory","index":0}]]}}},"lastUpdatedBy":29,"workflowInfo":{"nodeCount":14,"nodeTypes":{"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.shopify":{"count":1},"n8n-nodes-base.telegram":{"count":1},"n8n-nodes-base.stickyNote":{"count":6},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.telegramTrigger":{"count":1},"@n8n/n8n-nodes-langchain.lmChatOpenAi":{"count":1},"@n8n/n8n-nodes-langchain.memoryPostgresChat":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Yenire","username":"yenire","bio":"Founder of Swiftline. Automation specialist building AI-powered workflows with n8n, focused on conversational agents with memory, real-time business context, and human-like interactions.","verified":false,"links":["https://www.linkedin.com/in/yenireeleal/"],"avatar":"https://gravatar.com/avatar/cb8e908dce26354bed9ef452c9dd10d5b706e7bfd9c8e66fad5ae3f4ce6cced7?r=pg&d=retro&size=200"},"nodes":[{"id":49,"icon":"file:telegram.svg","name":"n8n-nodes-base.telegram","codex":{"data":{"alias":["human","form","wait","hitl","approval"],"resources":{"generic":[{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/","icon":"🤬","label":"Create a toxic language detector for Telegram in 4 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Loop"]}}},"group":"[\"output\"]","defaults":{"name":"Telegram"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Telegram","typeVersion":1,"nodeCategories":[{"id":6,"name":"Communication"},{"id":28,"name":"HITL"}]},{"id":50,"icon":"file:telegram.svg","name":"n8n-nodes-base.telegramTrigger","codex":{"data":{"resources":{"generic":[{"url":"https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/","icon":"🤬","label":"Create 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