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This paper introduces MOOSEDev, a neurosymbolic memory system for coding agents that uses an ontology to structure project knowledge, demonstrating superior retrieval performance over vector-memory tools in handling architectural decisions and rationale.
ANCHOR-RE is a neuro-symbolic framework that integrates ontology-guided reasoning and external knowledge grounding into LLM inference for biomedical relation extraction, improving F1 scores across multiple benchmarks without fine-tuning.