Performance Evaluation
Standardized benchmarks are essential for advancing the field of AI memory research. The Nemo benchmark suite provides comprehensive evaluation across multiple dimensions of memory performance, from basic storage and retrieval to complex associative reasoning and cross-modal integration.
Run Your Own Benchmarks
Access our benchmark suite and performance testing tools to evaluate memory system performance in your own applications.
Comprehensive Evaluation Framework
Our benchmark suite evaluates six critical dimensions: episodic memory recall, associative network performance, working memory capacity, long-term storage efficiency, memory consolidation effectiveness, and cross-modal integration capabilities. Each benchmark is designed to test real-world performance scenarios.
Tests the system's ability to retrieve specific memories with full contextual information, measuring both accuracy and retrieval speed across different time horizons.
Evaluates the formation and navigation of complex associative memory structures, including multi-hop reasoning and novel connection discovery.
Measures the system's capacity to maintain and manipulate information in active memory while performing concurrent cognitive tasks.
Tests the ability to form unified memories across different sensory modalities and data types, essential for embodied AI applications.
The benchmark results demonstrate significant advances in memory system performance, with Nemo showing particular strengths in episodic recall accuracy and storage efficiency. Cross-modal integration remains an active area of development, representing the frontier of memory research where the biggest performance gains are expected.
