Agentic Semantic Memory System

This system provides Claude agents with an advanced agentic semantic memory, allowing them to effectively store, retrieve, and manage long-term knowledge. It leverages vector embeddings for efficient recall, combining semantic similarity with keyword matching for powerful hybrid search capabilities. Agents can learn from past experiences across sessions, consolidate similar memories, and manage the memory lifecycle through importance decay and expiration, ultimately enabling them to build robust knowledge graphs and continuously improve their performance.

Key Features

Use Cases