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 automat…

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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

Quick Start · How to run · Technical Report · ARIS Intro (HTML) · ARIS Intro Slides — VALSE 2026 · AI Agents · Featured on PaperWeekly · GitHub stars · 💬 Join Community · Cite

🌱 ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go.

💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw / DeepSeek Harness — enjoy any way you like!
The executor drives, an independent model (Codex MCP by default) reviews. Alternative model combinations, including ModelScope-hosted models, need no Claude or OpenAI API.

📦 Those are the skills installed directly. Want it in one command? ARIS also ships as a standalone CLI and as plugins: ARIS-Code CLI downloads · Claude Code plugin · Codex CLI plugin · DeepSeek Harness plugin

❗ IMPORTANT codex-cli 0.154.0 removed codex mcp-server — the entry point every ARIS reviewer call used. No impact on ARIS: the codex MCP server is now ARIS's own bridge over codex exec (mcp-servers/codex-exec/), same tools, same results, all 82 skills unchanged, ultra and per-thread resume intact. One re-registration is all it takes — already installed? → Quick Start step 2b · new install → step 2 · what changed.

🧩 The ARIS family — same method, other jobs. One line each; the details live in their own repos.

From the project's README.

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