Controlled Memory Interference in Continual LLM Agents

arXiv:2608.07622 · cs.AI, cs.IR, cs.LG · Submitted 2026-08-07 · Read on arXiv

Ao Ding, Hongzong LI, Shiqin Tang, Li Zhang, Liang Chen, Xuyang Chen, Zi Liang

cs.AI, cs.IR, cs.LG

Submitted: 2026-08-07

Updated: 2026-08-11

Code: https://github.com/Dawn-Buendia/Controlled-Memory-Interference-in-Continual-LLM-Agents

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Composition — 27× in this paper · explained in 2 episodes
• Augmentation — 16× in this paper · explained in 2 episodes
• Robustness — 11× in this paper · explained in 6 episodes
• Controlled Memory Interference — 7× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Calibration — 4× in this paper · explained in 9 episodes
• Generator — 4× in this paper · explained in 2 episodes
• Hyperparameters — 4× in this paper · explained in 2 episodes
• AI Agents — 3× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• Actionability — 2× in this paper · explained in 3 episodes
• Continual Learning — 2× in this paper · explained in 3 episodes
• Provenance — 2× in this paper · explained in 5 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 9 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• FAISS — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Planner — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
• HorizonBench: Long-Horizon Personalization with Evolving Preferences
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• Linq-Embed-Mistral Technical Report
• PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
• MemGPT: Towards LLMs as Operating Systems
• MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
• The Shift to Agentic AI: Evidence from Codex
• MEME: Multi-entity & Evolving Memory Evaluation
• Improving Text Embeddings with Large Language Models
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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