Memary is an open-source memory layer designed to enhance AI agents by emulating human memory processes, developed in collaboration with the graph database platform FalkorDB to address challenges related to data handling and multi-agent support. This partnership has led to increased adoption, with over 100,000 repository visits and significant community engagement due to its ability to accelerate data ingestion, structure, and querying without compromising accuracy. Memary's integration with FalkorDB provides low latency for time-sensitive applications and supports multi-agent frameworks by creating distinct knowledge graphs for various AI agents, facilitating individualized memory management and scalability. This collaboration has led to the release of Memary version 0.1.5, marking a significant milestone for developers seeking to create sophisticated AI applications, with practical use cases in personalized assistants, enterprise knowledge management, collaborative research, and customer support systems. The project is supported by key contributors, including Julian Saks, Kevin Li, Guy Korland, and Roi Lipman, with Gal Shubeli leading the development of the GraphRAG-SDK, which enhances retrieval-augmented generation workflows through knowledge graphs and ontology management.