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🧠 Empower Your AI Chatbot with Long-Term Memory and Dynamic Tool Routing

This n8n workflow powers an AI chatbot with long-term memory & dynamic tool routing. It processes chat messages using an OpenAI agent (with short-term memory), then intelligently routes requests to: save/retrieve memories via Google Docs, or send formatted messages to…

Built · ~8 hours saved per week

AI Chatbot with Long-Term Memory & Tool Routing Overview This workflow implements a sophisticated AI chatbot that possesses both short-term and long-term memory, coupled with the ability to dynamically use a set of predefined tools. The system is designed to hold context-aware conversations, remember information across different interactions, and perform actions like storing data or sending notifications. It essentially gives an AI assistant a persistent memory and a toolkit to interact with other services. Technologies Used - AI & Language Models: OpenAI (GPT-4o Mini) for natural language understanding, reasoning, and content generation. n8n's built-in LangChain nodes (AI Agent, Chat Model, Memory, Tool, LLM Chain) are used to structure the AI's logic. - Data Storage: Google Docs serves as a simple, human-readable database for the chatbot's long-term memory. - Communication & Notification: Telegram and Gmail are integrated as notification channels, allowing the AI to send information to users or stakeholders. - Orchestration: n8n is the core platform that connects all these services, hosts the chat interface, and manages the entire automation logic. What It Automates This workflow automates the creation of a highly capable and stateful AI assistant. Instead of responding with only the immediate context of a single query, it can: - Automated Memory Management: Automatically save key pieces of information from a conversation to a persistent store (Google Docs) for later recall. - Intelligent Task Routing: Analyze a user's request and decide which specific tool to use, such as retrieving a memory, saving a new one, or sending a notification. - Contextual Communication: Craft and send tailored messages via Telegram or Gmail based on the information it has stored, automating reporting and user updates. - Conversational AI Interface: Provides a chat endpoint where a user can interact with the system in natural language. How the AI Integrates AI is the central component of this workflow, acting as the "brain" that coordinates all operations. 1. AI Agent (🧠 AI Agent w/Long Term Memory): This is the core decision-maker.

Tags: Chatbot, RAG, Content Management, Data Transformation, Google, Testing

Integrations: Google Docs, Telegram, Email, OpenAI, AI Agent

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