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.
About the project
CORAL is infrastructure for autonomous coding agents that run experiments on a codebase, have their work graded, share knowledge, and evolve solutions across repeated attempts. It is used for autoresearch workflows with agents such as Claude Code, OpenCode, Codex, Cursor Agent, and Kiro. The catalogue entries provide skills, agents, instructions, a plugin, and a hook for operating these workflows.
Deep researcher — spawn to conduct thorough web research on the problem domain, save raw sources, and write structured findings. Use proactively when starting a new task, when scores plateau, or when the team needs fresh ideas from literature.
Knowledge librarian — spawn to organize notes, deduplicate findings, and consolidate reusable patterns into skills. Use proactively when the notes directory has grown large, contains duplicates, or is hard to navigate.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: