grey-haven-memory-systems

Features and purpose

Design and implement long-term memory systems for AI agents using vector stores, knowledge graphs, and hybrid approaches. Includes benchmarks and decision frameworks. Use when building persistent agent memory, implementing RAG, designing knowledge bases, or when user mentions 'memory', 'RAG', 'vector store', 'knowledge graph', 'long-term memory', 'retrieval', or 'embeddings'.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.