A

Auto-claude-code-research-in-sleep

Verified
Free

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and...

Quick Facts

Pricing
Free
20
views
0
favorites
Added
May 2026
Official URL
github.com

Tool overview

Overview

Auto-claude-code-research-in-sleep (ARIS) is a skill-based research workflow that can be used in Claude Code, Codex CLI, Cursor, Trae, Antigravity, GitHub Copilot CLI, OpenClaw, and DeepSeek Harness. The project describes itself as a methodology rather than a platform, emphasizing the research workflow. It states: "ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go." and "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!" In operation, an executor drives the workflow while an independent model, by default Codex MCP, reviews it. Alternative model combinations, including ModelScope-hosted models, do not require Claude or OpenAI API. The README says: "The executor drives, an independent model (Codex MCP by default) reviews. Alternative model combinations, including ModelScope-hosted models, need no Claude or OpenAI API." ARIS can be installed as skills directly or as a standalone CLI and plugins. The repository notes that codex-cli 0.154.0 removed codex mcp-server, but ARIS now uses its own bridge over codex exec, preserving tools, results, 82 skills, and ultra and per-thread resume. It states: "Those are the skills installed directly. Want it in one command? ARIS also ships as a standalone CLI and as plugins:" and "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".

Screenshots

Auto-claude-code-research-in-sleep screenshot 1

Features

  • AI assistant
  • Natural language interface
  • Workflow automation

Tags

ai-research
ai-tools
aris
autonomous-agent
claude
ai
ai assistant
automation

Use Cases

  • Researchers use ARIS to run a skill-based research workflow across multiple coding agents.

  • Developers use ARIS to have an executor drive the work while an independent model reviews it.

  • Users use ARIS to install skills directly or via a standalone CLI and plugins.

  • Users use ARIS to continue Codex reviews through a built-in codex exec bridge after codex-cli 0.154.0 removed codex mcp-server.

User Reviews

No reviews yet. Be the first to share your experience!