autoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
- Version
- 1.0.0
- License
- MIT
Pinned to revision df088027ff23, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/autoresearch/SKILL.md
- skills/autoresearch/references/agent-continuity.md
- skills/autoresearch/references/progress-reporting.md
- skills/autoresearch/references/skill-routing.md
- skills/autoresearch/templates/findings.md
- skills/autoresearch/templates/progress-presentation.html
- skills/autoresearch/templates/research-log.md
- skills/autoresearch/templates/research-state.yaml
Every link opens the file at its source, pinned to the revision this page describes.