ICLR 2026 Past Large language modelsML systemsAgents
ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems
ICLR 2026 Workshop MemAgents
- Submission deadline
- Feb 14, 2026, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (70)
Fetched from OpenReview (v2) on 2026-06-10.
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A Lightweight, Domain-Adaptive Memory System for LLM Agents
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Adaptive Memory Admission Control For LLM Agents
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Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
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Agentic Memory Should Localize Compression
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Alleviating Forgetfulness of Linear Attention by Hybrid Sparse Attention and Contextualized Learnable Token Eviction
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AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
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ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
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Belief Engine: Bayesian Memory for Configurable Opinion Dynamics in LLM Agents
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CAOTE: Optimizing KV Cache Memory Through Attention Output Error-based Token Eviction
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Chow–Liu Ordering for Long-Context Reasoning in Chain-of-Agents
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CloneMem: Benchmarking Long-Term Memory for AI Clones
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CoMem: Context Management with A Decoupled Long-Context Model
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Compute Allocation for Reasoning-Intensive Retrieval Agents
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CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems
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Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
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DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents
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Did You Check the Right Pocket? Cost-Sensitive Store Routing for Memory-Augmented Agents
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Distilling Feedback into Memory-as-a-Tool
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Do LLMs Benefit From Their Own Words?
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ENGRAM: Effective, Lightweight Memory Orchestration for Conversational Agents
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Entropic Memory: A Thermodynamics-Inspired Consolidation Mechanism for Lifelong Agent Learning
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Episodic Memory from Compression Boundaries in Latent Representation Space
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Epistemic Memory Failures in Long-Form Narrative Agents: A Deployment Study
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Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
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Evaluating Memory Structure in LLM Agents
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Experiential Reflective Learning for Self-Improving LLM Agents
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FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery
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Fast-Write, Deep-Read: EcphoryRAG as Dynamic Associative Memory for Lifelong Agents
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Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison
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From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents
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From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
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GAM: Hierarchical Graph Memory for LLM-based Agents
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Human-Like Lifelong Memory: A Neuroscience-Grounded Architecture for Infinite Interaction
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INFMEM: Learning System-2 Memory Control for Long-Context Agent
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Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
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LaCy: What Small Language Models Can and Should Learn into Limited Parametric Memory
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Latent Action Reparameterization for Efficient Agent Inference
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Learning Multimodal Trajectory Representations for Web Agent Planning
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Learning Safe Robot Planning from Unsafe Experiences: An Episodic Memory Approach for LLM-based Agents
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Learning to Continually Learn via Meta-learning Agentic Memory Designs
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Learning What to Learn: Curriculum Curation for Test-Time Agent Learning
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LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language Agents
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Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
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Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures
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LP-RAG: A Link Prediction-Based Framework for Retrieval-Augmented Generation
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MemFly: On-the-Fly Memory Optimization via Information Bottleneck
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MemGrad: A Memory-Guided Optimization of Agentic Software Development via Abstracted Textual Gradients
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MemoGraph: Augmenting LLMs with Explicit Episodic Memory for Multi-step Mathematical Reasoning
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Memory Injection Attacks on LLM Agents via Query-Only Interaction
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MEMORY IS RECONSTRUCTED, NOT RETRIEVED: GRAPH MEMORY FOR LLM AGENTS
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Memory Transplants for LLM Agents: Disentangling Architecture and Content Transfer under a Code-to-Math Shift
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Memory-Efficient Multilingual Embeddings with a Diffusion-LM Backbone
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MIRROR: Complementary Encoding and Reconstructive Consolidation for Persistent State in LLM Systems
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Multi-Agent Collaborative Framework for Intelligent IT Operations: An AOI System with Context-Aware Compression and Dynamic Task Scheduling
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Norm-Guided KV-Cache Eviction for Memory-Efficient Reasoning
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PROCED-MEM: BENCHMARKING PROCEDURAL MEMORY RETRIEVAL IN LANGUAGE AGENTS ACROSS DOMAINS
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R-KVHash: Reasoning Model KV Cache Compression Via SimHash-based Estimation of Redundant Tokens
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Real-Time Procedural Learning From Experience for AI Agents
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Retrieval-Augmented LLM Agents: Learning to Learn from Experience
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SABER: Small Actions, Big Errors — Safeguarding Mutating Steps in LLM Agents
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SelfEvoWM:Self-Evolving Task Discovery and In-Imagination Robot Learning with DROID-Grounded World Models
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ShiftBench: Measuring Recovery of Agent Memory Under Distribution Shift
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SimpleMem: Efficient Lifelong Memory for LLM Agents
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SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
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Spectral Attention Steering for Prompt Highlighting
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SuperIntelligent Retrieval Agent: The Next Frontier of Information Retrieval
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Tool use is provably more scalable than in-weight memory for Large Language Models
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Toward a Theory of Hierarchical Memory for Language Agents
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UltRAG: A universal simple scalable recipe for knowledge graph RAG
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WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance