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Project comparison
Auto Claude Code Research In Sleep vs ECC
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
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Best matched with other agent tools.
272.5K
Stars
+52.6K
Weekly
93/100
Health
Quick Take
Adoption
ECC has the larger GitHub footprint with 272.5K stars.
Momentum
ECC is currently growing faster at +52.6K stars this week.
Maintenance
ECC has the stronger automated maintenance signal at 93/100. 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 | ECC |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 14.5K | 272.5K |
| Weekly growth | +5.6K | +52.6K |
| Health score | Strong92/100 | Strong93/100 |
| Contributors | 85 | 295 |
| Commits per week | 29.7 | 62.2 |
| Open issues | 58 | 105 |
| Language | Python | JavaScript |
| License | MIT | MIT |
| Last commit | 2026-08-09 15:36 UTC | 2026-10-02 02:01 UTC |
| Last release | v0.4.24 | v2.0.0 |
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