unified-memory

What problem does it solve?

This Skill provides a robust, multi-layered memory system designed to enhance AI agent capabilities by offering fast semantic search, cross-memory pattern detection, and emergent insight generation.

Core Features & Use Cases

• Three-Layer Architecture: Integrates canonical storage (SQLite), vector embeddings (Mem0 Layer), and self-referential memory (Strange Loop Layer).
• Fast Semantic Search: Achieve sub-20ms search times for rapid information retrieval.
• Unified Recall: Access memories across working files, Obsidian vaults, and agent memory seamlessly.
• Use Case: When an AI agent needs to recall information from past interactions, research documents, and its own generated insights to inform a new decision or creative output, this Skill provides a unified and efficient way to access that knowledge.

Quick Start

Initialize the memory system by running the command python3 scripts/init_memory.py.