MAGE manages agent memory via a hierarchical state tree with Grow, Compress, Maintain, and Revise operations, raising success rates 7.8-20.4 pp and cutting tokens 55.1% on MemoryArena.
Telemem: Building long-term and multimodal memory for agentic ai
4 Pith papers cite this work. Polarity classification is still indexing.
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TaskMem uses RL in two phases to learn a task-focused memorization policy for multimodal agents, yielding 5.3-7.0% VQA accuracy gains on reformulated streaming benchmarks from VideoMME, EgoLife, and EgoTempo.
MementoGUI introduces a modular memory-control framework with working and episodic memory operators that improves long-horizon GUI agent performance over history-replay and text-only baselines.
GenericAgent outperforms other LLM agents on long-horizon tasks by maximizing context information density with fewer tokens via minimal tools, on-demand memory, trajectory-to-SOP evolution, and compression.
citing papers explorer
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Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
MAGE manages agent memory via a hierarchical state tree with Grow, Compress, Maintain, and Revise operations, raising success rates 7.8-20.4 pp and cutting tokens 55.1% on MemoryArena.
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Task-Focused Memorization for Multimodal Agents
TaskMem uses RL in two phases to learn a task-focused memorization policy for multimodal agents, yielding 5.3-7.0% VQA accuracy gains on reformulated streaming benchmarks from VideoMME, EgoLife, and EgoTempo.
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MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents
MementoGUI introduces a modular memory-control framework with working and episodic memory operators that improves long-horizon GUI agent performance over history-replay and text-only baselines.
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GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
GenericAgent outperforms other LLM agents on long-horizon tasks by maximizing context information density with fewer tokens via minimal tools, on-demand memory, trajectory-to-SOP evolution, and compression.