hippocampus-memory

Overview

The Hippocampus Memory System is a persistent memory system for AI agents, inspired by the hippocampus in the brain. It automatically encodes, decays, and semantically reinforces memories, making it a powerful tool for agents to learn and remember.

Key Features

• Automatic encoding and decay of memories
• Semantic reinforcement of existing memories
• Importance scoring and weighting
• Visual brain dashboard for installed skills

How It Works

The Hippocampus Memory System uses a combination of natural language processing and machine learning to capture and reinforce memories. It extracts signals from conversation transcripts, scores them, and prepares them for LLM summarization. The system also applies decay to all memories, ensuring that older memories are gradually forgotten.

Use Cases

• Personal assistants: The Hippocampus Memory System can help personal assistants remember important details about their users, such as preferences and decisions.
• Customer service: The system can be used to capture and reinforce memories of customer interactions, improving customer service and support.
• Education: The Hippocampus Memory System can be used to create personalized learning experiences, capturing and reinforcing memories of students’ learning progress.