by AISmithLab · Agent Tool · ★ 67
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[🏆 CHI26 Best Paper] CoBRA: Reproducible control of LLM agent behavior via classic social science experiments
| Stars | 67 |
| Forks | 0 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 30.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-15 |
| Created | 2025-10-25 |
| Platforms | python |
| Est. Tokens | ~567k |
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CoBRA is [🏆 CHI26 Best Paper] CoBRA: Reproducible control of LLM agent behavior via classic social science experiments. It is categorized as a Agent Tool with 67 GitHub stars.
CoBRA is primarily written in Python. It covers topics such as agent-based-modeling, ai-agent, ai-tools.
You can find installation instructions and usage details in the CoBRA GitHub repository at github.com/AISmithLab/CoBRA. The project has 67 stars and 0 forks, indicating an active community.
CoBRA is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CoBRA on Agent Skills Hub include ai-agents-reality-check, stata-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.