Full papers
Original research contributions with substantial technical depth and experimental validation.
Machine Learning/CORE Unranked
ICLR 2026
ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems
The MemAgents ICLR 2026 workshop focuses on memory-augmented agents in machine learning, exploring how memory mechanisms can enhance learning, reasoning, and decision-making in AI systems. It brings together researchers working on memory architectures, lifelong learning, retrieval-augmented models, and related topics in the context of the International Conference on Learning Representations.
Key deadlines
Verified September 9, 2026Full paper
February 14, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 14, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Concise presentations of novel ideas, preliminary results, or position papers.
Work-in-progress
Early-stage research or ongoing projects seeking feedback from the community.
Research areas in scope
01
Topics
Memory-augmented neural networksLifelong and continual learningRetrieval-augmented generationExternal memory architecturesMemory for reasoning and planningLong-context modelingMemory efficiency and compressionMemory in reinforcement learningNeural symbol integration with memoryEvaluation benchmarks for memory agents
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not be under review at any other conference or journal during submission.
- All submissions must include a statement on the use of AI-assisted tools.
- Author lists cannot be changed after the submission deadline.
- Maximum paper length is 8 pages for full papers and 4 pages for short papers, excluding references.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026