Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automat
Star Growth
Overview
ARIS provides methodology and skills for autonomous machine learning research, enabling cross-model review loops, idea discovery, and experiment automation. It works with various LLM agents like Claude Code, Codex, OpenClaw, and others without framework lock-in.
Deep Analysis
Lightweight, framework-agnostic methodology that works with any LLM agent through skill-based workflows rather than creating lock-in.
⚡ Capabilities
- • autonomous ML research
- • cross-model review loops
- • idea discovery
- • experiment automation
- • skill-based workflows
🔗 Integrations
✓ Best For
- ✓ researchers building autonomous ML agents
- ✓ developers creating agent workflows
- ✓ experiment automation with multiple LLMs
✗ Not Ideal For
- ✗ end-user AI applications
- ✗ generic chatbots
- ✗ image generation
⚠ Known Limitations
- ⚠ Markdown-only skills
- ⚠ requires existing LLM agent infrastructure
- ⚠ methodology rather than complete platform
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