This workflow creates an intelligent Telegram chatbot that maintains conversation context by integrating OpenAI, Supabase, and Telegram. When a user sends a message to the bot, the workflow retrieves or creates a user record in Supabase, initializes a conversation thread with OpenAI, sends the user’s message for processing, and then returns the AI-generated response back to the user on Telegram. The workflow uses Telegram triggers to listen for new messages, checks for existing user data in Supabase, manages conversation threads with OpenAI, and sends responses accordingly. This setup is ideal for developing customer support bots, virtual assistants, or any conversational AI with persistent memory for enhanced user engagement.
AI-Powered Telegram Chatbot with User Memory
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | httpRequest, if, merge, stickyNote, supabase, telegram, telegramTrigger |
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