This project implements a persistent, file-based memory system that allows an AI assistant to recall user preferences and project context across sessions. It uses a Two-Tier Architecture—keeping a lightweight index (MEMORY.md) in context while retrieving detailed topic files on demand—to manage token limits efficiently. The system enforces strict security sandboxing and distinguishes between Private (user-specific) and Team (shared) scopes, ensuring the AI respects boundaries while maintaining temporal freshness to avoid citing outdated code.
Generated by Code IQ