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Org-Agent is introduced, a unified constraint-centric reasoning framework that organizes task execution in three stages and decomposes a task into atomic subtasks and constructs a task dependency graph whose edges encode the dependencies among them.
The results show that structured agent memory need not generate an intermediate representation of the past, and Zero-Mem achieves competitive performance while eliminating LLM calls and LLM-token consumption from memory operations.
HyperRAG is introduced, a novel framework in the Hyper-bolic space that captures both explicit entity-based links and implicit query-aware connections and consistently outperforms existing baselines.
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