Automated Telegram Bot with Memory and AI Integration

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This n8n workflow automates interactions with Telegram through a webhook, validating user details, processing various message types, and leveraging AI models for intelligent responses. It also incorporates memory management by storing and retrieving user data via Google Docs, enabling personalized and context-aware conversations. The workflow is designed to enhance chatbot engagement, making it suitable for customer support, personalized assistance, or interactive services. Key nodes include Telegram webhook, message routing, memory handling, and integrations with DeepSeek AI models for advanced reasoning and chat capabilities. This setup provides a robust framework for automated, intelligent interactions within Telegram, backed by persistent memory storage and AI-driven insights.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, googleDocs, googleDocsTool, if, merge, set, stickyNote, switch, telegram, webhook

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