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A-MEM is an advanced self-evolving memory system designed for coding agents, surpassing traditional vector stores by automatically organizing knowledge into a Zettelkasten-style graph with dynamic relationships. Memories within A-MEM don't merely get stored; they continuously evolve, connect, and strengthen over time, creating a smarter, more interconnected knowledge base. It leverages LLMs to extract context, keywords, and tags, enabling a knowledge graph that grows more intelligent rather than just larger, optimizing recall and minimizing token usage for agents.
