Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents

📰 ArXiv cs.AI

Learn how to implement a dual-process cognitive memory system for self-evolving LLM agents to improve long-term memory and personalization capabilities

advanced Published 9 Jun 2026
Action Steps
  1. Build a cognitive capability hierarchy for agent memory
  2. Configure a dual-process memory system for LLM agents
  3. Apply belief revision and causal coupling to improve memory recall
  4. Test the system for cross-domain abstraction and personalization
  5. Run experiments to evaluate the performance of the proposed system
Who Needs to Know This

AI engineers and researchers on a team can benefit from this knowledge to develop more sophisticated LLM agents, while product managers can use it to inform product development and improve user experience

Key Insight

💡 A dual-process cognitive memory system can improve long-term memory and personalization capabilities for self-evolving LLM agents

Share This
💡 Improve LLM agent memory with a dual-process cognitive system! #LLMs #AI

Key Takeaways

Learn how to implement a dual-process cognitive memory system for self-evolving LLM agents to improve long-term memory and personalization capabilities

Read full paper → ← Back to Reads

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