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.
Agent
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.
Agent
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.
Agent
Verify that every claim in a research note is grounded in its linked raw sources.
Agent
Decide what to do with two notes flagged as near-duplicates — without knowing which is which.
Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent
Compare two outputs WITHOUT knowing which skill produced them.
Agent
Evaluate expectations against an execution transcript and outputs.
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: