v0.1.0 — Initial Release
AutoResearchClaw v0.1.0
Fully autonomous research pipeline: one message in, full conference paper out. 🦞
Highlights
- 23-stage pipeline: Research Scoping → Literature Discovery → Knowledge Synthesis → Hypothesis Generation → Experiment Design → Self-Healing Execution → Analysis & Decision → Paper Writing → Citation Verification
- Multi-agent debate: 3 agents (Innovator, Pragmatist, Contrarian) argue over hypotheses; adversarial analysis panel reviews results
- Self-healing executor: autonomous crash diagnosis, code repair, and Pivot/Refine decisions
- Cross-run evolution: time-decayed lesson store that improves future runs
- Citation verification: 4-layer pipeline (arXiv, DOI, Semantic Scholar, LLM relevance check)
- OpenClaw integration: trigger full runs from a chat message
Results (6 end-to-end runs)
- 100% pipeline completion (124/124 steps)
- 94.3% citation integrity
- Mean quality 6.2/10 on conference review scale
Requirements
- Python 3.9+
- OpenAI-compatible LLM API