Caching for the Future: Scrub Jay Episodic Memory Principles for Agent Memory Systems

arXiv:2608.04746 · cs.CL, cs.IR · Submitted 2026-08-05 · Read on arXiv

Kartikey Singh Bhandari, Aarya Wadhwani, Dhruv Kumar, Pratik Narang

cs.CL, cs.IR

Submitted: 2026-08-05

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 41× in this paper · explained in 1 episode
• Benchmark — 30× in this paper · explained in 2 episodes
• Generalization — 29× in this paper · explained in 14 episodes
• RAG — 20× in this paper · explained in 3 episodes
• Ablation — 14× in this paper · explained in 1 episode
• Temporal Generalization Test — 8× in this paper
• Prospective Memory Buffer — 7× in this paper
• Temporal Reasoning — 7× in this paper · explained in 3 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Hypergraph — 5× in this paper · explained in 2 episodes
• Retroactive Contextual Integration — 5× in this paper
• Temporal Generalization Score — 4× in this paper
• Calibration — 3× in this paper · explained in 9 episodes
• LLM judge — 3× in this paper · explained in 2 episodes
• Pareto Frontier — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Episodic Memory Unit — 2× in this paper
• Fixed Point — 2× in this paper · explained in 2 episodes
• Generator — 2× in this paper · explained in 2 episodes
• Hyperparameters — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 9 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• FAISS — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Inductive Bias — 1× in this paper · explained in 3 episodes
• KV Cache Compression — 1× in this paper · explained in 2 episodes
• KV cache — 1× in this paper · explained in 4 episodes
• Knowledge Graph — 1× in this paper · explained in 8 episodes
• Scoring Function — 1× in this paper · explained in 2 episodes
• Speculative Decoding — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• Retrieval-Augmented Generation for Large Language Models: A Survey
• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
• LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning
• SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation
• Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects
• Evaluating Very Long-Term Conversational Memory of LLM Agents
• FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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