About
ARIS is an autonomous research workflow tool for machine learning, operating as a skill-based framework for agents like Claude Code, OpenClaw, and Cursor. It utilizes a unique cross-model adversarial architecture (Executor vs. Reviewer) to automate the entire research lifecycle—from idea generation and coding to paper writing and rebuttal management. Features include a persistent Research Wiki, self-evolution capabilities, and a zero-dependency Markdown-driven skill system, enabling high-quality academic output with minimal human intervention.
Features
- Cross-model adversarial collaboration
- End-to-end autonomous research pipeline
- Intelligent rebuttal & stress-testing
- Persistent Research Wiki & self-evolution
- Zero-dependency Markdown-driven skills
Supported Platforms
Links
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