ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML re…
Auto claude code research in sleep (ARIS ⚔️🌙) · · · · · · orange? style=flat) · · 💬 Join Community · 💡 Use ARIS as a skill based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone CLI — enjoy any way you like! It has reached 10,591 GitHub stars, written primarily in Python.
Why now: Recent coverage — "Auto-claude-code-research-in-sleep - AI Agents on GitHub (10.5k )" — alongside renewed developer interest is driving current visibility.
Considerations: At roughly 3 months old, it's early — the architecture and maintenance cadence haven't been battle-tested yet.
EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Python) will tell you more than the metrics.
Sources: wanshuiyin/Auto-claude-code-research-in-sleep on GitHub · Auto-claude-code-research-in-sleep - AI Agents on GitHub (10.5k ) · GitHub repos – Telegram
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.gitThen follow the README in the cloned directory.
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