Awesome-Agent-Memory
Awesome-Agent-Memory is a curated collection of systems, benchmarks, and research papers focused on memory mechanisms for Large Language Models and Multimodal Large Language Models. It explores how various approaches enable long-term context retention, effective retrieval, and efficient reasoning in AI agents. The repository highlights open-source resources with reproducible code on public platforms, ranking them prominently. Key areas covered include products, tutorials, and comprehensive surveys. It features benchmarks for plain text and multimodal data, alongside simulation environments for testing. The collection categorizes academic papers into nonparametric memory like text and graph storage, multimodal memory for understanding and generation, and parametric memory solutions. Additional sections address memory for agent evolution through reinforcement learning and continual learning, context engineering techniques, and the intersection of memory with cognitive science. Security considerations are also i