arXiv:2510.15966v2 Announce Type: replace Abstract: Memory systems are fundamental to AI agents, yet existing work often lacks adaptability to diverse tasks and overlooks the constructive and task-oriented role of AI agent memory. Drawing from Piaget's theory of cognitive development, we propose PISA, a pragmatic, psych-inspired unified memory system that addresses these limitations by treating memory as a constructive and adaptive process. To enable continuous learning and adaptability, PISA introduces a trimodal adaptation mechanism (i.e., schema updation, schema evolution, and schema creati
The AI research community is actively seeking architectural improvements to enhance agent autonomy and overcome limitations of current memory systems.
This research introduces a novel, psych-inspired unified memory system that could significantly advance AI's ability to learn continuously and adaptively, leading to more robust and capable agents.
The proposed PISA system treats AI memory as a constructive, adaptive process, departing from traditional static or less integrated approaches, potentially enabling more sophisticated agent behaviors.
- · AI agents developers
- · AI research institutions
- · Companies deploying autonomous AI
- · Developers of less adaptable AI memory systems
This research could lead to the development of more effective and versatile AI agents across various domains.
Improved AI agency might accelerate automation in complex tasks, reducing the need for human oversight in certain white-collar workflows.
As AI agents become more adaptive and autonomous, ethical and regulatory frameworks for their operation will need to evolve rapidly to keep pace.
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Read at arXiv cs.AI