🤖 AI Agent Chatbot with Long-Term Memory, Notes & Telegram

This n8n workflow creates a sophisticated AI agent chatbot integrated with Telegram for real-time messaging. It features a robust memory system using Google Docs for long-term storage, separating memories from notes, with automated retrieval before each interaction to maintain context. The agent leverages GPT-4o-mini for general conversations and DeepSeek-V3 for specialized tasks, including window buffer memory for ongoing chats.

Key components include Telegram for inbound/outbound messages, Google Docs for dual storage (memories and notes with timestamps), and a custom AI agent with tool integration. Memory architecture ensures intelligent saving and retrieval, enabling the bot to remember user history across sessions.

Benefits include time-saving automation for customer support, personal assistants, or finance bots (e.g., financial reporting queries with retained context). Use cases: Telegram-based financial advisors tracking user portfolios, customer service agents recalling past interactions, or note-taking bots for accountants storing reports securely. High scalability and no-code setup make it ideal for businesses needing persistent AI memory without custom development.