by Human-Agent-Society · Codex 技能 · ★ 961
Robust, lightweight infrastructure for multi-agent self-evolution, built for autoresearch. English | 中文 Installation · Supported Agents · How It Works · Examples · Docs · Paper CORAL is infrastructure for autonomous AI agent organizations that run experiments, share knowledge, and continuously improve solutions. Give it a codebase and a grader, and CORAL handles the rest: isolated workspaces, safe evaluation, persistent shared state, and multi-agent collaboration. Natively integrated with Claude Code, OpenCode, Codex, Cursor Agent, and Kiro. 🔥 News [2026-06-13] Legacy grader
| Stars | 961 |
| Forks | 121 |
| Language | Python |
| Category | Codex 技能 |
| License | Apache-2.0 |
| Quality Score | 67.320861190079/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-08 |
| Created | 2026-03-16 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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CORAL is Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.. It is categorized as a Codex 技能 with 961 GitHub stars.
CORAL is primarily written in Python. It covers topics such as agent-framework, agent-orchestration, agentic-ai.
You can find installation instructions and usage details in the CORAL GitHub repository at github.com/Human-Agent-Society/CORAL. The project has 961 stars and 121 forks, indicating an active community.
CORAL is released under the Apache-2.0 license, making it free to use and modify according to the license terms.