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.
- 18k stars
- 1.5k forks
- 74 open issues
- Language: Python
- License: MIT
- updated
Install
local · uvx (python)claude mcp add auto-claude-code-research-in-sleep -- uvx auto-claude-code-research-in-sleep{
"mcpServers": {
"auto-claude-code-research-in-sleep": {
"command": "uvx",
"args": ["auto-claude-code-research-in-sleep"]
}
}
}{
"mcpServers": {
"auto-claude-code-research-in-sleep": {
"command": "uvx",
"args": ["auto-claude-code-research-in-sleep"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep and follow its README.
Editor's note
ARIS (Auto-Research-In-Sleep) is a Markdown-only, framework-free methodology for automating machine learning research workflows, distributed as a set of skill files that run inside Claude Code, Codex CLI, Cursor, and other LLM agent runtimes without requiring any proprietary platform. Its core loop assigns three roles to the agent: a breadth pass for idea discovery and literature scanning, a cross-model adversarial review step where multiple models critique drafts, and a research wiki that persists findings as structured memory across sessions. Concrete slash-commands include `/render-html` for generating fact-checked HTML write-ups, `/paper-talk` for producing presentation slides, and `/homepage-generator` for building academic homepages from CV data. The project also ships ARIS-Monitor, a dependency-free Python floating window that flags which Claude Code sessions are waiting for user authorization. Researchers and ML practitioners who want unattended overnight experiment tracking, automated paper drafting, and cross-model peer review without adopting a heavyweight framework are the primary audience.
MCP Servers overview
Auto-claude-code-research-in-sleep (ARIS ⚔️🌙)
🌱 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: 
❗ 
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.
CLAUDE.md / AGENTS.md against the four shapes agents over-defend in (Hashing, Edge cases, Rubrics, Overbuild), bounding what the agent proposes, never what it looks for. Anti-Autoresearch: 61 integrity signals into a deterministic, reviewer-ready report — fabrication forensics, not an AI-text detector.
/method-figure).
cd aris-monitor && ./run.sh. Many windows? Claude Fleet by @tianyilt is the full dashboard.
🔥 ARIS-Code CLI — 独立安装版 · English | ⬇️ Download · 
ARIS_REASONING_EFFORT works on the Anthropic channel, tool calls through {}-placeholder relays fixed, OS proxy honoured. v0.4.27: launching and quitting the REPL leaves no empty session file. v0.4.26: the fable alias and /model now point at Fable 5.1 (default stays Opus 5). v0.4.25: the Codex reviewer works again on codex-cli ≥ 0.154 (built-in codex exec bridge, nothing to register), /since takes you back to your last input, /resume lists sessions by index, Windows multi-line paste fixed (pending confirmation), 83 bundled skills on GPT-6-Astra.
ARIS-Code — screenshot, what's in v0.4.28, per-release details, older versions
📰 ARIS-Code v0.4.28 (2026-09) — latest: ARIS_REASONING_EFFORT works on the Anthropic channel (#446), tool calls through relays that send a {} placeholder no longer fail (#444), and the OS proxy on Windows / macOS is used without exporting HTTPS_PROXY (#401). v0.4.27: launching and quitting the REPL no longer leaves an empty session file, and /resume lists only sessions with messages (#439 follow-up). v0.4.26 made Fable 5.1 the fable alias and the first /model entry (the default executor stays Opus 5). v0.4.25 is the reviewer-bridge release: codex-cli 0.154 removed codex mcp-server, so every Codex review from ARIS-Code died on an updated codex. The reviewer now runs over a built-in codex exec bridge — no mcpServers.codex entry, old entries migrate in memory, thread records interoperate with ARIS's Python bridge. Also: /since replays everything after your last input (folded like the live display, /since full for complete output), /resume lists sessions with indices and shows where you stopped (#439), Windows multi-line paste no longer submits line by line (#430, pending confirmation), the Windows shim message carries the native installer (#428), and the bundle moves to 83 skills on GPT-6-Astra. Recent headliners: v0.4.24 — Claude 5 model refresh (Opus 5 default, Fable 5 tier, availability chain) and v0.4.23 — output folding. Caps a 24-release run (v0.4.5 → v0.4.28); per-release detail below. Credits: @GetIT-Sunday, @Anduin9527, @GO-player-hhy, @Jxy-yxJ, @screw-44, @StevenUST, @opposj, @ShijunLei-cn, @algojogacor, @YukinoshitaLove, @jinliye-2026, @SajimJC, @JasmineLCY.
Per-release details (v0.4.5 → v0.4.28)
What people ask about Auto-claude-code-research-in-sleep
What is wanshuiyin/Auto-claude-code-research-in-sleep?
wanshuiyin/Auto-claude-code-research-in-sleep is mcp servers for the Claude AI ecosystem. 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. It has 18k GitHub stars and its last recorded update is dated 2026-10-22.
How do I install Auto-claude-code-research-in-sleep?
You can install Auto-claude-code-research-in-sleep by cloning the repository (https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is wanshuiyin/Auto-claude-code-research-in-sleep safe to use?
Our security agent has analyzed wanshuiyin/Auto-claude-code-research-in-sleep and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains wanshuiyin/Auto-claude-code-research-in-sleep?
wanshuiyin/Auto-claude-code-research-in-sleep is maintained by wanshuiyin. The last recorded GitHub activity is dated 2026-10-22, with 74 open issues.
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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