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HALO is the official implementation of Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems, a framework for coordinating multiple LLM-powered agents. It uses a hierarchical reasoning architecture with a high-level planning agent for task decomposition, mid-level role-design agents for subtasks, and low-level inference agents that execute subtasks. The goal is to enable more adaptable and expert-level performance in complex, multi-agent tasks by organizing agent roles and communications more flexibly than static designs.
AI named HALO in December 2025.