Ensue is a tool designed to enhance how you interact with AI language models by creating a persistent knowledge base. Unlike traditional interactions where each conversation starts without context, Ensue allows your knowledge to accumulate over time. It builds a knowledge tree that captures your learning and insights, so each subsequent conversation builds on the last. This means that when you ask questions, the AI can reference what you already know, making interactions more relevant and personalized. Key features include the ability to carry context forward, allowing prior research and decisions to inform new inquiries. You can manually remember information like preferred tech stacks or specific notes, ensuring that your unique insights are integrated into future conversations. The system also includes options for auto-logging, with settings to disable tracking if desired. The research agent within Ensue autonomously explores topics and identifies gaps in your knowledge. It organizes and stores this information in your memory, creating a structured database of concepts and their relationships. This capability means that learning is not just a one-off event; it compounds over time, enhancing your understanding of complex subjects like GPU inference optimization or Kubernetes. The emphasis is on creating a more intelligent interaction with AI that evolves as you do.