by AutoX-AI-Labs · Agent Tool · ★ 855
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AutoR: A Human-Centered Research OS AI handles execution. Humans own the direction. A terminal-first research harness, with a local browser Studio, that turns long, messy research work into reproducible, artifact-backed runs. Overview · News · Showcase · Quick Start · How It Works · Run Layout · Architecture · Roadmap
| Stars | 855 |
| Forks | 23 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 52.3907740928299/100 |
| Last Updated | 2026-06-15 |
| Created | 2026-03-13 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~22k |
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AutoR is AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk.. It is categorized as a Agent Tool with 855 GitHub stars.
AutoR is primarily written in Python. It covers topics such as agent, ai, ai-scientist.
You can find installation instructions and usage details in the AutoR GitHub repository at github.com/AutoX-AI-Labs/AutoR. The project has 855 stars and 23 forks, indicating an active community.
The top alternatives to AutoR on Agent Skills Hub include AutoR, ResearchClawBench, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.