Explore/framework/Auto-claude-code-research-in-sleep
A

wanshuiyin/Auto-claude-code-research-in-sleepActive

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.

frameworkPythonMIT
GitHubCompare
Refreshed 2h ago
OverviewActivity52wAlternativesDocs
Stars15.3k
Forks1.3k
HF Downloads30d
Last commit2h ago
Refreshed2h ago
Project healthActiveLast commit 2h ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
87 / 100
Composite score from 6 signals. How we score →
Active project
87Score
Growth
98A+
Activity
96A+
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 30 days observed15.3k +9.88% / 30d
snapshots
Repository activity · 30 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-26
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

87
Score 87/100
Top performer

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Recent activity

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