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[GitHub Trending] hexo-ai/sia

8.5 relevance
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9
novelty
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actionability
8
community
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strategic
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personal
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Self-improving AI framework for benchmark tasks is novel, technically deep, and highly relevant to AI agent optimization.

AI/ML github.com
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task. - hexo-ai/sia
Summary

SIA is a self-improving AI framework that orchestrates meta, target, and feedback agents in a loop to autonomously enhance task-specific LLM agents. It achieves a 56.6% accuracy gain on LawBench, 14x speedup on AlphaFold-3 Triton kernels, and 502% improvement on single-cell RNA denoising, ranking #1 on OpenAI's MLE-Bench. The open-source Python package ships with built-in tasks (gpqa, lawbench, longcot-chess, spaceship-titanic) and supports Claude or multi-provider backends via pip install.

Author

hexo-ai