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Project comparison
Auto Claude Code Research In Sleep vs ponytail
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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.
Best matched with other agent tools.
14.5K
Stars
+5.6K
Weekly
92/100
Health
ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Best matched with other agent tools.
154.0K
Stars
+2.3K
Weekly
84/100
Health
Quick Take
Adoption
ponytail has the larger GitHub footprint with 154.0K stars.
Momentum
Auto Claude Code Research In Sleep is currently growing faster at +5.6K stars this week.
Maintenance
Auto Claude Code Research In Sleep has the stronger automated maintenance signal at 92/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Auto Claude Code Research In Sleep | ponytail |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 14.5K | 154.0K |
| Weekly growth | +5.6K | +2.3K |
| Health score | Strong92/100 | Strong84/100 |
| Contributors | 85 | 62 |
| Commits per week | 29.7 | 15.8 |
| Open issues | 58 | 105 |
| Language | Python | JavaScript |
| License | MIT | MIT |
| Last commit | 2026-08-09 15:36 UTC | 2026-10-03 05:12 UTC |
| Last release | v0.4.24 | v4.8.4 |
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