MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

This paper introduces MAGMA, a novel multi-graph based agentic memory architecture designed to enhance the capabilities of AI agents. It focuses on enabling agents to manage complex memories for improved reasoning and decision-making in dynamic environments, paving the way for more sophisticated autonomous systems with real-world applications in areas like scientific research and healthcare diagnostics.