AI-Powered Telegram Bot with Long-Term Memory Integration

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This n8n workflow creates a sophisticated Telegram bot capable of engaging in personalized conversations while maintaining long-term memory of user interactions. When a user sends a message to the bot via webhook, the workflow first verifies the user’s identity by matching their name and ID. It then classifies incoming messages into text, audio, or images and triggers appropriate responses. The core AI engine, powered by DeepSeek’s models, processes the message to generate relevant replies, leverage reasoning, and manage ongoing contextual conversations. Additionally, the workflow saves important user memories into Google Docs for long-term reference and can recall past interactions to deliver highly personalized responses. Practical uses of this setup include customer support, personal assistants, or interactive learning bots that remember user preferences over time while communicating seamlessly through Telegram.

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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