Auto-claude-code-research-in-sleep
Lightweight Markdown skill for autonomous machine learning research.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 12.5k
- Source
- mcp-github
Overview
ARIS ⚔️ (Auto-Research-In-Sleep) is a lightweight Markdown skill library designed for autonomous machine learning research. It supports cross-model review loops, idea discovery, and experiment automation. No specific framework required—works with Claude Code, Codex, OpenClaw, or any LLM agent. ARIS aims to provide flexible research workflows suitable for various AI agents.
Capabilities
- ▪Cross-model review loops
- ▪Idea discovery
- ▪Experiment automation
- ▪Markdown-formatted skills
- ▪Multi-model compatibility
Use cases
Setup
Please refer to the installation instructions in the project README.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Which models does ARIS support?
Supports Claude Code, Codex, OpenClaw, and other LLM agents.
How do I get started with ARIS?
Please refer to the quick start guide in the project README.
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