by Human-Agent-Society · Codex Skill · ★ 609
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch.
| Stars | 609 |
| Forks | 79 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 36.25/100 |
| Open Issues | 10 |
| Last Updated | 2026-05-03 |
| Created | 2026-03-16 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~3615k |
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CORAL is CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch.. It is categorized as a Codex Skill with 609 GitHub stars.
CORAL is primarily written in Python. It covers topics such as agent-framework, alpha-evolve, alphaevolve.
You can find installation instructions and usage details in the CORAL GitHub repository at github.com/Human-Agent-Society/CORAL. The project has 609 stars and 79 forks, indicating an active community.
CORAL is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CORAL on Agent Skills Hub include hcom, Vibe-Skills, takt. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.