This n8n workflow creates an intelligent Telegram chatbot that processes messages, utilizes AI reasoning, and manages long-term memory storage. It enables seamless interaction by receiving Telegram updates via webhook, validating user identities, classifying message types, and generating personalized responses through an AI agent powered by DeepSeek. The workflow also stores user interactions and memories in Google Docs, enhancing future interactions. Practical for building smart, memory-enabled chatbots that improve over time, this setup is ideal for customer support, personal assistants, or engagement bots.
Telegram Chatbot with AI Memory & DeepSeek Integration
| 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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