LogoAgentHunter
  • Submit
  • Industries
  • Categories
  • Agency
Logo
LogoAgentHunter

Discover, Compare, and Leverage the Best AI Agents

Featured On

Featured on yo.directory
yo.directory
Featured on yo.directory
Featured on Startup Fame
Startup Fame
Featured on Startup Fame
AIStage
Listed on AIStage
Sprunkid
Featured on Sprunkid
Featured on Twelve Tools
Twelve Tools
Featured on Twelve Tools
Listed on Turbo0
Turbo0
Listed on Turbo0
Featured on Product Hunt
Product Hunt
Featured on Product Hunt
Game Sprunki
Featured on Game Sprunki
AI Toolz Dir
Featured on AI Toolz Dir
Featured on Microlaunch
Microlaunch
Featured on Microlaunch
Featured on Fazier
Fazier
Featured on Fazier
Featured on Techbase Directory
Techbase Directory
Featured on Techbase Directory
backlinkdirs
Featured on Backlink Dirs
Featured on SideProjectors
SideProjectors
Featured on SideProjectors
Submit AI Tools
Featured on Submit AI Tools
AI Hunt
Featured on AI Hunt
Featured on Dang.ai
Dang.ai
Featured on Dang.ai
Featured on AI Finder
AI Finder
Featured on AI Finder
Featured on LaunchIgniter
LaunchIgniter
Featured on LaunchIgniter
Imglab
Featured on Imglab
AI138
Featured on AI138
600.tools
Featured on 600.tools
Featured Tool
Featured on Featured Tool
Dirs.cc
Featured on Dirs.cc
Ant Directory
Featured on Ant Directory
Featured on MagicBox.tools
MagicBox.tools
Featured on MagicBox.tools
Featured on Code.market
Code.market
Featured on Code.market
Featured on LaunchBoard
LaunchBoard
Featured on LaunchBoard
Genify
Featured on Genify
Copyright © 2025 All Rights Reserved.
Product
  • AI Agents Directory
  • AI Agent Glossary
  • Industries
  • Categories
Resources
  • AI Agentic Workflows
  • Blog
  • News
  • Submit
  • Coummunity
  • Ebooks
Company
  • About Us
  • Privacy Policy
  • Terms of Service
  • Sitemap
Friend Links
  • AI Music API
  • ImaginePro AI
  • Dog Names
  • Readdit Analytics
Back to News List

Frontiers Enhancing Memory Retrieval in Generative Agents through LLM-Trained Cross Attention Networks

April 11, 2025•Hong Chuanyang1Qingyun He2*•Original Link•1 minutes
Artificial Intelligence
Generative Agents
Memory Retrieval

The surge in the capabilities of large language models (LLMs) has propelled the development of Artificial General Intelligence (AGI), highlighting generative agents as pivotal components for emulating complex AI behaviors.

Published in Frontiers in Psychology (Volume 16 - 2025)
View all articles{rel="nofollow"}

Key Findings

  • Researchers developed a novel Auxiliary Cross Attention Network (ACAN) to improve memory retrieval in generative AI agents.
  • The system ranks attention weights between an agent's current state and stored memories, selecting the most relevant ones.
  • First study to utilize LLMs to train a dedicated agent memory retrieval network, achieving significant improvements in adaptability and behavioral consistency.

Methodology

  1. Created a text-based simulation of a generative agent world with multiple agents and interactive locations.
  2. Implemented ACAN to calculate and rank memory relevance using attention mechanisms.
  3. Used LLM-assisted training by comparing retrieved memories with base methods, creating a novel loss function for optimization.

Implications

  • Addresses the high cost of individually training LLMs for each AI agent.
  • Enhances agents' ability to maintain unique characteristics and memories.
  • Opens new possibilities for LLM applications in AI memory management.

Citation: Chuanyang and He (2025). Front. Psychol. 16. doi: 10.3389/fpsyg.2025.1591618
Creative Commons License{rel="nofollow"}

Related News

August 18, 2025•Ivone Santana

Data-Hs AutoGenesys creates self-evolving AI teams

Data-Hs AutoGenesys project uses Nvidias infrastructure to autonomously generate specialized AI agents for business tasks

Artificial Intelligence
Automation
Startup
August 17, 2025•Irwin Stelzer

AI Risks Demand Attention Over Interest Rate Debates

The societal and economic costs of transitioning to an AI-driven workforce are too significant to overlook

Artificial Intelligence
Workforce
Society

About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

Expertise

AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
Publications
65+
Credentials
2
LinkedInMedium

Agent Newsletter

Get Agentic Newsletter Today

Subscribe to our newsletter for the latest news and updates