This episode explores Jev-Mem, a design for agent memory that moves small management decisions, such as classifying a memory, linking it to others, and deciding when to stop searching, out of the language model's text generation and into a fast controller that outputs labels and scores. It walks through why agents need external memory despite long context windows (RULER's finding of shorter effective context, and Lost in the Middle). It traces the progression from plain retrieval through MemGPT-style paging to multi-graph memory, using a running example of a bicycle purchase that needs temporal, causal, and entity links to answer correctly. The discussion frames the "System One / System Two" split as an analogy for allocating compute rather than a claim about brains. It separates the approach from distilling reasoning into a single model, and sets up a three-layer architecture of control, memory, and reasoning planes. It also flags what to scrutinize: how much of the gain comes from the graph versus the controller, and that a closely related system is cited but not benchmarked. Listeners interested in cutting the token cost of agent memory will find the long-conversation benchmark setup and the typed yes/no query interface of the controller especially concrete.
Sources:
1. Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents — Dongming Jiang, Yi Li, Bingzhe Li, 2026
http://arxiv.org/abs/2609.23986
2. Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition — Jonathan St. B. T. Evans, 2008
https://scholar.google.com/scholar?q=Dual-Processing+Accounts+of+Reasoning%2C+Judgment%2C+and+Social+Cognition
3. Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory — Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, Deshraj Yadav, 2025
https://scholar.google.com/scholar?q=Mem0%3A+Building+Production-Ready+AI+Agents+with+Scalable+Long-Term+Memory
4. MemGPT: Towards LLMs as Operating Systems — Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G. Patil, Ion Stoica, Joseph E. Gonzalez, 2023
https://scholar.google.com/scholar?q=MemGPT%3A+Towards+LLMs+as+Operating+Systems
5. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity — Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park, 2024
https://scholar.google.com/scholar?q=Adaptive-RAG%3A+Learning+to+Adapt+Retrieval-Augmented+Large+Language+Models+through+Question+Complexity
6. Distilling System 2 into System 1 — Ping Yu, Jing Xu, Jason Weston, Ilia Kulikov, 2024
https://scholar.google.com/scholar?q=Distilling+System+2+into+System+1
7. Zero-Mem: Zero-token memory operations for LLM agents — Yilin Xiao et al., 2026
https://scholar.google.com/scholar?q=Zero-Mem%3A+Zero-token+memory+operations+for+LLM+agents
8. MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents — Dongming Jiang, Yi Li, Guanpeng Li, Bingzhe Li, 2026
https://scholar.google.com/scholar?q=MAGMA%3A+A+Multi-Graph+based+Agentic+Memory+Architecture+for+AI+Agents
9. HAGE: Harnessing Agentic Memory via RL-driven Weighted Graph Evolution — Dongming Jiang et al., 2026
https://scholar.google.com/scholar?q=HAGE%3A+Harnessing+Agentic+Memory+via+RL-driven+Weighted+Graph+Evolution
10. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection — Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi, 2023
https://scholar.google.com/scholar?q=Self-RAG%3A+Learning+to+Retrieve%2C+Generate%2C+and+Critique+through+Self-Reflection
11. Adaptive-RAG: Learning to Adapt Retrieval-Augmented LLMs through Question Complexity — Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park, 2024
https://scholar.google.com/scholar?q=Adaptive-RAG%3A+Learning+to+Adapt+Retrieval-Augmented+LLMs+through+Question+Complexity
12. FrugalGPT and RouteLLM — Lingjiao Chen, Matei Zaharia, James Zou (FrugalGPT); Isaac Ong et al. (RouteLLM), 2024 / 2025
https://scholar.google.com/scholar?q=FrugalGPT+and+RouteLLM
13. Evaluating Very Long-Term Conversational Memory of LLM Agents (LoCoMo) — Adyasha Maharana et al., 2024
https://scholar.google.com/scholar?q=Evaluating+Very+Long-Term+Conversational+Memory+of+LLM+Agents+%28LoCoMo%29
14. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory — Di Wu et al., 2024
https://scholar.google.com/scholar?q=LongMemEval%3A+Benchmarking+Chat+Assistants+on+Long-Term+Interactive+Memory
15. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models — Bernal Jimenez Gutierrez et al., 2024
https://scholar.google.com/scholar?q=HippoRAG%3A+Neurobiologically+Inspired+Long-Term+Memory+for+Large+Language+Models
Interactive Visualization: Jev-Mem: Fast System-One Controllers for Agentic Memory
