rohitg00/agentmemory

AI coding agents often face challenges with limited context windows and forgetting past interactions, leading to repetitive explanations and reduced efficiency. agentmemory solves this by offering a robust, persistent memory layer, enabling agents to retain context, learn from previous interactions, and efficiently access relevant information. It extends advanced concepts with features like knowledge graphs and hybrid search, ensuring agents 'remember everything.' This results in significant improvements in retrieval accuracy, token usage, and overall agent performance, making AI coding agents more effective and autonomous, all without external database dependencies.