RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
cs.CL, cs.AI
Submitted: 2026-09-20
Updated: 2026-09-22
Comments: 38 pages, 7 figures. Code: https://github.com/Quark-Medical/rpmem/tree/main
Code: https://github.com/Quark-Medical/rpmem
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
- MemGPT: Towards LLMs as Operating Systems
- Memory in the Age of AI Agents
- Metis: Memory Foundation Model
- PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
- Qwen3 Technical Report
- Ministral 3
- Training Verifiers to Solve Math Word Problems
- Instruction-Following Evaluation for Large Language Models
- Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory
- MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
- Scaling Self-Evolving Agents via Parametric Memory
- Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents
- ParamMem: Augmenting Language Agents with Parametric Reflective Memory
- Learning by Distilling Context
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