HeLa-Mem is a graph-based memory architecture for LLM agents that applies Hebbian learning to episodic associations and distills hubs into semantic knowledge, yielding better results on long-context benchmarks with fewer tokens.
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HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents
HeLa-Mem is a graph-based memory architecture for LLM agents that applies Hebbian learning to episodic associations and distills hubs into semantic knowledge, yielding better results on long-context benchmarks with fewer tokens.