hippocampus-memory

Overview: Hippocampus 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 easier for agents to learn and remember. Key Features: Automatic encoding, decay, and semantic reinforcement; Importance scoring and weighting; Weekly review and self-reflection prompts; Unified brain dashboard for installed skills. How It Works: The skill uses a combination of scripts to preprocess signals, score and reinforce memories, and apply decay. Use Cases: Agents can use Hippocampus to learn and remember important information, such as user preferences, decisions, and facts about people and projects.