EngramRAG: Dynamic Usage-Weighted Topology and Synaptic Consolidation for Multi-Hop Agentic Memory

arXiv:2609.32049 · cs.AI, cs.CL, cs.IR, cs.MA · Submitted 2026-09-25 · Read on arXiv

cs.AI, cs.CL, cs.IR, cs.MA

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Scaffolding — 17× in this paper · explained in 3 episodes
• Hallucination — 15× in this paper · explained in 3 episodes
• RAG — 15× in this paper · explained in 3 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Clustering — 5× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Knowledge Graph — 4× in this paper · explained in 7 episodes
• Large Language Model — 4× in this paper
• Pruning — 4× in this paper · explained in 4 episodes
• Agent Memory — 3× in this paper · explained in 1 episode
• Consolidation-Activated Topology Decay — 3× in this paper
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Hierarchical Navigable Small World — 3× in this paper
• Reciprocal Rank Fusion — 3× in this paper
• Temporal Reasoning — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Exact Match — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Dynamic Weighting — 1× in this paper · explained in 3 episodes
• Failure Taxonomy — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Simulated Continuous Deployment Protocol — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes

Sources

• MemGPT: Towards LLMs as Operating Systems
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• Evaluating Very Long-Term Conversational Memory of LLM Agents
• LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection