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We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation.
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Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, et al · 2025
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
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Learning to contextualize web pages for enhanced decision making by LLM agents
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OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
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A-MEM: Agentic Memory for LLM Agents
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MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
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