Giving OpenClaw a memory that actually works

OpenClaw, a system that traditionally stored memory in Markdown files, has evolved with the integration of Memelord, a memory system powered by Turso's vector search technology, to enhance its functionality. Memelord assigns weights to memories based on their usefulness, with a self-improving mechanism that allows it to learn from user feedback, delete incorrect memories, and decay unhelpful ones over time. This system enables OpenClaw to prioritize more relevant memories, thereby improving retrieval quality and preventing the repetition of past mistakes. The setup involves installing Memelord and its configuration tool, mcporter, which facilitates integration with OpenClaw and generates necessary configurations automatically. Underpinning this system is a single SQLite file per project, leveraging Turso's features like vector distance calculations to efficiently rank and retrieve pertinent memories.