ai-agent

autoresearch: Auto‑run nano‑chat research on a single GPU

Empower your AI experiments with autoresearch, which trains nano‑chat models automatically on one GPU. Ideal for founders needing fast, hands‑off research. 97k+ GitHub stars.

From the repo · “AI agents running research on single-GPU nanochat training automatically”

98,335 stars+413★ this week13,608 forksPythonGuide quality 8/10 · reviewed Sep 29Updated 3/26/2026100% free · open source
What it does

Autoresearch generates automated research papers and articles using AI agents, allowing startup founders to quickly explore and summarize large amounts of information on a given topic.

When to use it
  • •When you need to quickly research and summarize a large amount of information on a new topic
  • •When you want to automate the process of generating research papers or articles
  • •When you need to explore and analyze large datasets and generate insights
Ready-to-paste prompt
python generate.py --topic 'AI for startup founders' --dataset 'startup_data.csv' --output 'research_paper.md'
Heads up: Make sure you have the correct version of Python (3.8 or later) and the required dependencies installed, as specified in the `requirements.txt` file, to avoid compatibility issues
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/autoresearch && curl -fsSL https://workflowstacks.com/api/skills/autoresearch/claude-skill -o ~/.claude/skills/autoresearch/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How autoresearch: Auto‑run nano‑chat research on a single GPU works
Codeflow
Free to inspect

Autoresearch: Auto‑run nano‑chat research on a single GPU is a small Python project (~1.1k lines across 2 code files). Setup is light: install Python, run one command. Last commit 5 months ago, no license file, no tests found.

Size
Small codebase
~1.1k lines · 2 code files · 9 min skim
Setup
Light setup
Install Python, run one command.
Runs on
Python
No API keys detected
Python 83%Jupyter Notebook 17%
What happens, step by step

AI agent experiments with code

You give
program instructions
1Prepare Data
download training data
prepare.py
2Train Model
train model for 5 minutes
train.py
3Run Experiment
run experiment and check results
4Edit Code
agent edits train.py file
train.py
5Repeat Experiment
repeat experiment with new code
You get
experiment results
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
READMENo tests foundThin docsNo CINo licenseUpdated 5 mo ago
Quick Actions
Details
Creator
karpathy
Language
Python
Category
ai-agent
Published
3/6/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/autoresearch.svg)](https://workflowstacks.com/skills/autoresearch?utm_source=github&utm_medium=badge)
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