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.
Use ARIS to automate your machine learning research and manage your experiments with various AI tools.
git clone https://github.com/tianyilt/claude-fleet cd claude-fleet && bash run.sh # open http://127.0.0.1:7878 in your browser

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Free · no card · unsubscribe anytimeARIS ⚔️ (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.
Auto-claude-code-research-in-sleep has 15.5k stars on GitHub. It has been forked 1.3k times. Auto-claude-code-research-in-sleep is written mainly in Python. It has been in active development since 2026. Auto-claude-code-research-in-sleep is available under the MIT license. Its main topics are ai-research, ai-tools, aris, autonomous-agent.
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.
Auto-claude-code-research-in-sleep is an open-source project. It is released under the MIT license.
Yes. Auto-claude-code-research-in-sleep is free and open source — you can use, modify and self-host it.
Auto-claude-code-research-in-sleep is available under the MIT license.
Auto-claude-code-research-in-sleep is written mainly in Python.
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