AutoResearchClaw
by aiming-lab
About
AutoResearchClaw is an autonomous research agent framework within the OpenClaw ecosystem that transforms research ideas into conference-ready papers. It features an end-to-end 23-stage pipeline covering literature review, hardware-aware sandbox experiments, and LaTeX drafting. Key capabilities include a Human-in-the-Loop (HITL) Co-Pilot system with 6 intervention modes, anti-hallucination citation verification, and self-evolving learning via MetaClaw integration. It supports various LLM backends and integrates with messaging platforms through OpenClaw.
Features
- 23-stage end-to-end autonomous pipeline
- HITL Co-Pilot & intelligent intervention
- Anti-hallucination citation verification
- Hardware-aware sandbox execution & self-healing
- Multi-agent review & conference-ready LaTeX
Supported Platforms
desktopwebwechat