Auto-claude-code-research-in-sleep vs LobeHub
Side-by-side comparison of two AI agent tools
A
Auto-claude-code-research-in-sleepopen-source
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automat
L
LobeHubopen-source
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Metrics
| Auto-claude-code-research-in-sleep | LobeHub | |
|---|---|---|
| Stars | 16.9k | 82.9k |
| Star velocity /mo | 1.4k | 6.9k |
| Commits (90d) | 203 | 2.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.7709925604868993 | 0.9378854384961148 |
FAQ
- Which is more popular, Auto-claude-code-research-in-sleep or LobeHub?
- LobeHub has more GitHub stars (82,928 vs 16,857).
- Which is more actively developed, Auto-claude-code-research-in-sleep or LobeHub?
- LobeHub had more commits in the last 90 days (2,461 vs 203).
- Should I use Auto-claude-code-research-in-sleep or LobeHub?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.