Top 200 ReposEXPLORER
Browse agents, categories and pages
Back to results

karpathy/autoresearch

AI agents running research on single-GPU nanochat training automatically

What it does

AI agents running research on single-GPU nanochat training automatically

Summary based on the GitHub description (opens in a new tab)

What the README covers

  • autoresearch
  • How it works
  • Quick start
  • Running the agent
  • Project structure
  • Design choices
  • Platform support
  • Notable forks
  • License

Getting started

Excerpt from the README · Checked 15 Oct 2026

Open the README and explore its “Quick start” section. Follow its linked resources for the project-specific workflow.

Shown exactly as published. Top 200 Repos has not run or tested it. View in README (opens in a new tab)

Ranking trend

Global rank in each recorded snapshot. A lower number is a higher rank.

Global Rank · 2 Observed Snapshots · Lower Is Better · Gaps Indicate Missing Ranks

From #137 to #143 across 2 snapshots since 15 Oct 2026.

What people build with it

Reported by source

Let a coding agent run overnight ML training experiments

Point a coding agent at autoresearch so it edits a small GPT training script, runs short timed experiments and keeps what improves.

github.comkarpathy/autoresearch, anthropics/claude-code, openai/codex
Reported by source

Run unattended ML training experiments with autoresearch

Red Hat's Roy Belio containerized Karpathy's autoresearch on OpenShift AI with H100 GPUs and let Claude Code run 198 training experiments over 24 hours.

developers.redhat.com · 7 Apr 2026karpathy/autoresearch, anthropics/claude-code