AI-Powered Chat Memory Management Workflow

This n8n workflow creates an intelligent chatbot system with advanced memory management capabilities, designed to enhance user interactions by recalling and storing relevant information automatically. It integrates with Google Docs for long-term memory storage, Telegram for messaging, and OpenAI’s language models for processing and generating responses. The workflow begins when a chat message is received via a webhook trigger, and it retrieves previous memories and notes from Google Docs. It uses LangChain’s language models, including GPT-4 and a custom DeepSeek-V3, to analyze user input, distinguish between information to store as memory or notes, and generate a meaningful reply. Memory and notes are dynamically saved back to Google Docs, ensuring the chatbot maintains context and personalizes interactions over time. This setup is ideal for developing AI assistants that learn from ongoing conversations, remember user preferences, and provide contextually relevant responses in customer support, personal assistants, or interactive chatbots.