Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP
Auto-claude-code-research-in-sleep (ARIS) is a set of custom Claude Code skills for autonomous ML research workflows. It orchestrates cross-model collaboration, with Claude Code executing research tasks and an external LLM (like GPT-5.4) critically reviewing. This system can autonomously discover ideas, run experiments, and write/refine research papers, allowing researchers to wake up to ready-to-submit results.
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- PParker JacksonApr 20, 2026
Claude Code skills for autonomous research workflows — the Codex MCP integration is well-implemented.
- FFinley BrownApr 6, 2026
Idea discovery automation for ML research is genuinely novel. The cross-model approach surfaces things a single model misses.
- RReese JacksonApr 3, 2026
Autonomous ML research while you sleep is the correct use of async agent capabilities.
- CCorey ClarkMar 22, 2026
Cross-model review loops via Codex MCP is a clever way to get multiple AI perspectives automatically.