karpathy/autoresearch
autoresearch
AI agents running research on single-GPU nanochat training automatically
37/100Agents
Stars82,019
Forks11,915
LanguagePython
Overview
AI agents running research on single-GPU nanochat training automatically
Best for
- Evaluating autoresearch for Python AI workflows.
- Comparing a GitHub project with 82,019 stars and current repository activity.
Pros
- autoresearch has visible GitHub traction with 82,019 stars.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- No license was detected, so usage risk needs manual review.
Production readiness
autoresearch should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GitHub did not report a license, which usually requires manual legal review before production use.
Install
curl -LsSf https://astral.sh/uv/install.sh | shuv syncuv run prepare.pyuv run train.py