layered-memstack

What problem does it solve?

This Skill provides an efficient multi-layered memory system that organizes, maintains, and archives agent knowledge, reducing token costs and preventing information overload.

Core Features & Use Cases

• Hierarchical Memory Architecture: Implements a three-layer memory system with core facts, organized topics, and deep references, supporting scalable and organized knowledge retention.
• Automated Maintenance: Includes nightly consolidation, TTL cleanup, deduplication, and archiving to keep memory files optimized and relevant.
• Use Case: Ideal for complex AI agents managing extensive information, enabling fast retrieval and reducing session token usage through compiled snapshots.

Quick Start

Create directory structure, set up scripts/, run initial dedup, enable Dreaming, and schedule weekly and daily crons for cleanup and snapshot compilation.