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Specifies models and tools to test and compare different memory strategies.
Distinct from Memory Optimization Techniques: Distinct from Memory Optimization Techniques: focuses on benchmarking and comparing memory strategies, not reducing memory footprint.
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Memary is a memory-augmented agent framework that stores and retrieves contextual information from a knowledge graph to personalize responses and maintain long-term memory across interactions. It automatically captures all agent interactions and stores them as structured memories without requiring explicit instrumentation, then injects top-ranked user entities and themes into the active context window to tailor agent responses dynamically. The framework distinguishes itself through a multi-retriever memory search that combines COLBERT reranking with recursive graph queries across databases, e
Specifies models and tools to test and compare different memory strategies for agent performance evaluation.