LoCoMo
Emerging30papers using it
2025first seen
LoCoMo is a benchmark used to evaluate the performance of large language model agents in dynamic environments, focusing on their ability to adapt to changing tasks and conditions.
Papers using LoCoMo (30)
- EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic EnvironmentsRethinking Memory as Continuously Evolving ConnectivityOmni-simplemem: Autoresearch-guided Discovery Of Lifelong Multimodal Agent MemoryLearning Query-Aware Budget-Tier Routing for Runtime Agent MemoryDMF: A Deterministic Memory Framework for Conversational AI AgentsMemPro: Agentic Memory Systems as Evolvable ProgramsMemory is Reconstructed, Not Retrieved: Graph Memory for LLM AgentsLearning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language AgentsOrganize then Retrieve: Hierarchical Memory Navigation for Efficient AgentsUser as Code: Executable Memory for Personalized AgentsParallel Context Compaction for Long-Horizon LLM Agent ServingMemForest: An Efficient Agent Memory System with Hierarchical Temporal IndexingMGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue AgentsMemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational AgentsSAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMsHierarchical Memory for High-Efficiency Long-Term Reasoning in LLM AgentsScaling Self-Evolving Agents via Parametric MemoryPRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon AgentsAgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational MemoryMitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory RepresentationS3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question AnsweringTReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session DialoguesRethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent MemoryMemrouter: Memory-as-embedding Routing For Long-term Conversational AgentsMemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational AgentsAll-Mem: Agentic Lifelong Memory via Dynamic Topology EvolutionMemSkill: Learning and Evolving Memory Skills for Self-Evolving AgentsE-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent MemoryPISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI AgencyRGMem: Renormalization Group-inspired Memory Evolution for Language Agents