Why Memory Is the Next Critical Infrastructure for AI Agents

This survey reviews over 200 papers to propose a three‑dimensional classification framework for foundation‑agent memory, analyzes paradigm shifts from model‑centric to utility‑centric AI, and outlines memory substrates, cognitive mechanisms, operation strategies, learning paradigms, evaluation metrics, applications, and future research directions.

AI agentsAgent ArchitectureMemory Mechanisms

0 likes · 10 min read

Why Memory Is the Next Critical Infrastructure for AI Agents

HyperAI Super Neural

Jan 23, 2026 · Artificial Intelligence

Weekly AI Paper Digest: New Transformer Advances in Sparsity, Memory, and Reasoning

This article reviews five recent Transformer papers—including Engram's conditional memory, STEM's embedding‑based scaling, SeedFold's biomolecular structure prediction, a critique of Transformers for time‑series forecasting, and reasoning models as societies of thought—highlighting their methods, datasets, and performance gains.

Biomolecular Structure PredictionMemory MechanismsReasoning Models

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Weekly AI Paper Digest: New Transformer Advances in Sparsity, Memory, and Reasoning

Data Party THU

Dec 29, 2025 · Artificial Intelligence

Unlocking AI Agent Memory: A Deep Dive into Forms, Functions, and Dynamics

This article reviews the survey "Memory in the Age of AI Agents," presenting a comprehensive taxonomy that classifies agent memory by its forms, functions, and dynamic mechanisms, and explores future directions such as generative memory, reinforcement‑learning‑driven management, multimodal storage, and trustworthy handling.

AI agentsAgent ArchitectureFuture AI

0 likes · 14 min read

Unlocking AI Agent Memory: A Deep Dive into Forms, Functions, and Dynamics

DataFunSummit

Jul 24, 2024 · Artificial Intelligence

Overview of Large Language Model‑Based AI Agents: Architecture, Challenges, and Future Directions

This article reviews the emerging field of large language model‑based AI agents, outlining their overall architecture, key challenges such as role‑playing, memory, planning, and multi‑agent collaboration, and discusses future research directions and practical examples in user behavior simulation and software development.

AI agentsLLMMemory Mechanisms

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Overview of Large Language Model‑Based AI Agents: Architecture, Challenges, and Future Directions

DataFunTalk

Aug 21, 2023 · Artificial Intelligence

Can We Build Large-Scale Models for Recommendation Systems?

In this talk, Zhang Pengtao, a Sina Weibo technical expert with a Ph.D. in computer applications, explores how the strong memory capabilities of NLP large language models inspire the design of independent memory mechanisms for recommendation systems, covering model concepts, HCNet & MemoNet, experimental results, and practical takeaways for enhancing recommendation model performance.

AIMemory MechanismsRecommendation Systems

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Can We Build Large-Scale Models for Recommendation Systems?