CORAL
Open-source agent research, data, and evaluation for multi agent, agent framework, alpha evolve.
What does this agent do, and when should you use it?
The repository describes CORAL as: 🔥🔥COLM 2026🔥🔥 CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more. This profile is a source-based catalog entry; an independent FARS review is still pending.
🔥🔥COLM 2026🔥🔥 CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more.
- Run a documented research, analysis, or evaluation workflow.
- Compare agent behavior with reproducible evidence.
- Adapt its datasets, environments, or analysis components.
What are this agent's strengths and limitations?
- Public source and README are available for inspection.
- Focused on multi agent, agent framework, alpha evolve.
- Setup, model-provider support, and maturity must be confirmed against the current release.
- No independent FARS score has been assigned yet.
How do you install or deploy this agent?
Follow the current installation instructions in the [repository README](https://github.com/Human-Agent-Society/CORAL#readme). Requirements and provider setup vary by release.
How do you use this agent?
Start with the examples and quickstart in the [repository documentation](https://github.com/Human-Agent-Society/CORAL#readme), then test the workflow with limited permissions and non-sensitive data.