AI Long-Term Memory Management and Dynamic Routing Workflow

This n8n workflow enhances an AI agent’s capabilities by integrating long-term memory management and a dynamic tools routing system. The workflow allows the AI to save, retrieve, and manage memories stored in Google Docs, enabling personalized, context-aware responses. It also supports flexible task routing to various tools, such as sending notifications via Gmail and Telegram, making the AI more intelligent and responsive.

Here’s how it works:

– The workflow listens for new messages or commands and routes them through a tools router based on specified instructions.

– Long-term memories are stored in Google Docs and can be retrieved as needed, allowing the AI to recall past interactions, preferences, or relevant data.

– Short-term memory is managed via a window buffer for immediate context.

– The AI processes user inputs with OpenAI GPT models, utilizing the memory system for better understanding.

– Depending on the task, the system sends notifications or summaries to users via Gmail and Telegram.

This setup is ideal for creating intelligent chatbots, personal assistants, or customer support systems that require persistent context and adaptable tool management.