Two-tier-memory – queryable long-term memory for AI coding agents

Two-Tier Memory provides AI coding agents with a queryable long-term memory system that stores and retrieves past project context, decisions, and code patterns, enabling more coherent and context-aware assistance across sessions. It is designed for developers and AI agent builders who need persistent, structured memory to reduce repetitive context-setting and improve agent reliability. The project is interesting because it addresses a key limitation of current AI assistants—lack of durable memory—by implementing a scalable, two-tier architecture that balances fast retrieval with deep storage.