← Back to Leaderboard
Project comparison
Auto Claude Code Research In Sleep vs Everything Claude Code
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.
8.9K
Stars
0
Weekly
75/100
Health
Everything Claude Code
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
179.5K
Stars
0
Weekly
75/100
Health
Quick Take
Adoption
Everything Claude Code has the larger GitHub footprint with 179.5K stars.
Momentum
Auto Claude Code Research In Sleep is currently growing faster at 0 stars this week.
Maintenance
Auto Claude Code Research In Sleep has the stronger health score at 75/100.
Side-by-side Metrics
| Signal | Auto Claude Code Research In Sleep | Everything Claude Code |
|---|---|---|
| GitHub stars | 8.9K | 179.5K |
| Weekly growth | 0 | 0 |
| Health score | 75 | 75 |
| Contributors | 53 | 179 |
| Commits per week | 55.3 | 116.0 |
| Open issues | 56 | 1 |
| Language | Python | JavaScript |
| License | MIT | MIT |
| Last commit | 4d ago | 15h ago |
| Last release | v0.4.4 | v1.10.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.