mlsanityData to 14 Oct 2026

SaliMory: Orchestrating Cognitive Memory for Conversational Agents

arXiv 2606.04120 ↗First posted 2 Jun 2026cs.CL cs.AIcited by 1

On the map: LLM agents and tool use → Agent memory systems

Abstract (arXiv)

Conversational agents that serve as lifelong companions must maintain persistent memory across all interactions. However, simply expanding context windows with raw retrieval degrades reasoning quality, while training memory agents via standard reinforcement learning creates a severe credit assignment bottleneck in a multi-stage pipeline. To solve this, we introduce SALIMORY, a framework that trains a single language model to manage a cognitively-structured memory-spanning user facts, preferences, and working memory. By introducing a hierarchical stage-wise process reward and reward-decomposed contrastive refinement, SALIMORY provides isolated supervision for distinct memory operations (selective filtering, consolidation, and cue-driven recall) end-to-end. SALIMORY cuts memory-attributed failures by one-third, outperforms the state-of-the-art by over 10% in end-to-end accuracy, and more than doubles the Good Personalization rate.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Agent memory systems, one of 16 directions in LLM agents and tool use. Builds on 27 of its 37 references that are in the map. First posted on arXiv 2 Jun 2026.

Builds on

27 of 37 references.

Closest ancestors · 9

Same direction, newest first

  1. 2025MemGen: Weaving Generative Latent Memory for Self-Evolving Agents29 Sep
  2. 2025Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning27 Aug
  3. 2025MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents18 Jun
  4. 2025Memory OS of AI Agent30 May
  5. 2025Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory28 Apr
  6. 2025A-MEM: Agentic Memory for LLM Agents17 Feb
  7. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialogue9 Jun
  8. 2024Evaluating Very Long-Term Conversational Memory of LLM Agents27 Feb
  9. 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts15 Feb

Other references · 18

  1. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 9,379
  2. 2025Qwen3 Technical Reportcited by 8,820
  3. 2024GPT-4o System Cardcited by 4,588
  4. 2023MemGPT: Towards LLMs as Operating Systemscited by 1,389
  5. 2021Improving language models by retrieving from trillions of tokenscited by 1,293
  6. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 707
  7. 2023MemoryBank: Enhancing Large Language Models with Long-Term Memorycited by 556
  8. 2023FireAct: Toward Language Agent Fine-tuningcited by 256
  9. 2026Qwen3.5-Omni Technical Reportcited by 174
  10. 2026MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memorycited by 129
  11. 2022Long Time No See! Open-Domain Conversation with Long-Term Persona Memorycited by 108
  12. 2023Agent Lumos: Unified and Modular Training for Open-Source Language Agentscited by 72
6 more
  1. 2026Hindsight Credit Assignment for Long-Horizon LLM Agentscited by 65
  2. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 63
  3. 2025Mem-α: Learning Memory Construction via Reinforcement Learningcited by 55
  4. 2024Self-Updatable Large Language Models by Integrating Context into Model Parameterscited by 21
  5. 2025AssoMem: Scalable Memory QA with Multi-Signal Associative Retrievalcited by 11
  6. 2025Memory-QA: Answering Recall Questions Based on Multimodal Memoriescited by 10

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026MemLife: Curating and Reasoning over Long-Term Egocentric Video Memoriescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space
  2. 2026AgentMemBench: A Systematic Benchmark for Evaluating Long-Term Memory Management Strategies in Conversational AI Agents
  3. 2025Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI
  4. 2024"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents
  5. 2026AdaMem: Learning What to Remember with Adaptive Memory Policies for Personalized Agents
  6. 2026From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
  7. 2026DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
  8. 2026OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents