Transform chatbots into AI advisors with memory and real-time context
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs on Telegram events (message). Along the way it connects Telegram, OpenAI Chat Model, Shopify and Postgres Chat Memory.
How it runs
Trigger: On Telegram events (message).
- Code: runs custom JavaScript code
- Get many products (Shopify): get many (product)
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Postgres Chat Memory
- Code: runs custom JavaScript code
- Send a text message (Telegram): uses Telegram
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Code
n8n-nodes-base.code - Telegram Trigger
n8n-nodes-base.telegramTrigger - Telegram
n8n-nodes-base.telegram - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Shopify
n8n-nodes-base.shopify - Postgres Chat Memory
@n8n/n8n-nodes-langchain.memoryPostgresChat
From the author
How it works • Receives a user message from a chat • Uses an LLM node to understand user intent and generate a response • Retrieves and stores conversation memory in a database (Supabase) • Fetches real-time product or business data from an external API (e.g.…