xgenius: LLM-Oriented Autonomous Research Platform for SLURM Clusters

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Autor principal: Creus Castanyer, Roger
Formato: Recurso digital
Publicado: Zenodo 2026
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author Creus Castanyer, Roger
author_facet Creus Castanyer, Roger
contents xgenius is an LLM-oriented autonomous research platform for SLURM clusters. It enables AI agents (Claude Code) to autonomously formulate hypotheses, modify code, submit experiments to HPC clusters, analyze results, and iterate — with safety guarantees for shared infrastructure. Features include structured job tracking, research journals, compute budget management, and a background watcher daemon that triggers the agent on job completion.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19038735
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle xgenius: LLM-Oriented Autonomous Research Platform for SLURM Clusters
Creus Castanyer, Roger
autonomous research
LLM agents
SLURM
experiment management
Singularity
reinforcement learning
HPC
xgenius is an LLM-oriented autonomous research platform for SLURM clusters. It enables AI agents (Claude Code) to autonomously formulate hypotheses, modify code, submit experiments to HPC clusters, analyze results, and iterate — with safety guarantees for shared infrastructure. Features include structured job tracking, research journals, compute budget management, and a background watcher daemon that triggers the agent on job completion.
title xgenius: LLM-Oriented Autonomous Research Platform for SLURM Clusters
topic autonomous research
LLM agents
SLURM
experiment management
Singularity
reinforcement learning
HPC
url https://doi.org/10.5281/zenodo.19038735