mnemosyne-memory-provider

What problem does it solve?

This Skill provides a native memory backend for the Hermes Agent, enabling efficient embedding generation, vector search, and consolidation of working memories.

Core Features & Use Cases

• Embedding Engine Setup: Utilizes fastembed for local embeddings, offering fast and efficient embedding generation.
• Vector Search Setup: Facilitates setup of vector search using sqlite-vec extension for performance optimization.
• Consolidation Workflow: Automates the consolidation of working memories into episodic summaries, enhancing memory efficiency.
• Troubleshooting Guide: Provides detailed troubleshooting steps for common issues like missing embeddings, database locks, and recall problems.

Quick Start

Run the 'mnemosyne_stats' command to check the status of the Mnemosyne memory provider.