23japhone/HALO
The official Implementation of HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems
This project helps AI researchers and developers working with advanced language models to tackle highly specialized and expert-level tasks. It takes a complex query or problem as input and, through a structured, multi-agent approach, produces more accurate and nuanced results than standard large language model setups. This is for anyone building or evaluating multi-agent LLM systems for challenging domains.
No commits in the last 6 months.
Use this if you need to improve the accuracy and adaptability of multi-agent LLM systems on complex or expert-level problems like code generation, general reasoning, or arithmetic.
Not ideal if you are looking for a simple, out-of-the-box solution for basic LLM applications, as it requires setting up an API configuration and running Python scripts.
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Language
Python
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Last pushed
May 28, 2025
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