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 automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

machine-learning deep-learning

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7.5k Stars

710 Forks

7.5k Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$627.2K

Market Value

$4.10M

How is this calculated?

Growth over time

5 data points · 2026-04-11 → 2026-04-25

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What is the wanshuiyin/Auto-claude-code-research-in-sleep GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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