LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems

arXiv:2608.08236 · cs.AI, cs.CL · Submitted 2026-08-08 · Read on arXiv

Heng Zhou, Lian Zhang, Yutao Fan, Tiancheng He, Siki Chen, Hejia Geng, Philip Torr, Zhenfei Yin

cs.AI, cs.CL

Submitted: 2026-08-08

Updated: 2026-08-11

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

Terminology

• Benchmark — 42× in this paper · explained in 2 episodes
• Ablation — 20× in this paper · explained in 1 episode
• Provenance — 19× in this paper · explained in 5 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Multi-Agent System — 7× in this paper · explained in 7 episodes
• QLoRA — 7× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 4× in this paper
• Benchmarking — 3× in this paper · explained in 4 episodes
• Temporal Reasoning — 3× in this paper · explained in 3 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Agentic AI — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Knowledge Graph — 2× in this paper · explained in 8 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Clarity — 1× in this paper · explained in 3 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 5 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 4 episodes
• Meeting of the Association for Computational Linguistics — 1× in this paper
• Multi-Agent Debate — 1× in this paper · explained in 2 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Planner — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 15 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Self-Consistency — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Transactions on Machine Learning Research — 1× in this paper

Sources

• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces
• REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks
• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
• Memory in the Age of AI Agents
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• MemGPT: Towards LLMs as Operating Systems
• OpenHands: An Open Platform for AI Software Developers as Generalist Agents
• MIRIX: Multi-Agent Memory System for LLM-Based Agents
• Qwen2.5 Technical Report
• FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
• The Rise and Potential of Large Language Model Based Agents: A Survey
• Agentless: Demystifying LLM-based Software Engineering Agents
• A-MEM: Agentic Memory for LLM Agents

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