Sibyl-Research-Team/AutoResearch-SibylSystem

Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

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Emerging

This system helps machine learning researchers or teams automatically conduct end-to-end research. You provide a research idea or topic, and it autonomously performs literature reviews, generates hypotheses, designs and executes experiments on your GPU cluster, and writes a conference-ready paper. It's designed for researchers aiming to accelerate their discovery process with minimal human input.

168 stars.

Use this if you are an ML researcher or research organization looking for an autonomous system to drive scientific discovery from idea to publication, including running experiments on GPUs.

Not ideal if you need fine-grained human control over every step of the research process, or if your research doesn't involve machine learning experiments that can run on a GPU cluster.

machine-learning-research scientific-discovery academic-publishing experiment-automation research-automation
No License No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 3 / 25
Community 15 / 25

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Stars

168

Forks

21

Language

Python

License

Last pushed

Mar 17, 2026

Commits (30d)

0

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