wanshuiyin

    wanshuiyin/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.

    19.0K stars
    1.5K forks
    27 GitHub watchers
    Updated Nov 10, 2026
    View on GitHub

    Build with Backblaze B2

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 43 days ago, with 90 contributors on GitHub.

    Use Cases & Benefits

    • Automates machine learning research workflows using lightweight Markdown-only skills for cross-model review loops, idea discovery, and experiment automation.
    • Offers framework-agnostic, lock-in-free integration with multiple LLM agents like Claude Code, Codex, and OpenClaw for flexible autonomous research.
    • Use for accelerating academic paper review and writing by automating structured critique and synthesis with AI agents.
    • Use for managing iterative AI experiment workflows with automated planning, drafting, adversarial review, and persistent knowledge capture.
    • Use for extending autonomous research methodologies to non-academic domains such as investment due diligence, legal research, and market analysis.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw / DeepSeek Harness, or get the full experience with the standalone ARIS-Code CLI — enjoy any way you like!

    🐋 On DeepSeek Harness it installs as one plugin: dsh plugin --profile web add dsh-aris (fetches from npm by itself — no separate install step, but pnpm must be on PATH) — all 82 skills unchanged, Codex still the independent reviewer. Setup and limits on the dsh-aris branch.

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

    🤖 AI agents: Read AGENT_GUIDE.md instead — structured for LLM consumption, not human browsing.

    🛡️ ARIS audits its own output → now Anti-Autoresearch audits everyone's. 61 signals — 46 integrity hack-patterns in 8 families, 13 AI-style impressions, 2 advisory — checked end-to-end into a deterministic, reviewer-ready report. Self-consistency + fabrication forensics, not an AI-text detector.

    Excerpt from the wanshuiyin/Auto-claude-code-research-in-sleep README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 2: +78Sep 3: +19

    +3,417 stars over 71 days across 8 snapshot days; best day +78 on Sep 2.

    Forks

    1.5K+179

    Open issues

    74+11

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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