ARIS (Auto-Research-In-Sleep) vs Superpowers
Markdown-only skills for autonomous machine learning research. A software development method for coding agents, built from composable skills. Compare the capabilities you need, then check hosting, licensing and maintenance. This pair is shown for browsing but is not indexed (not among the leading projects of a shared category).
| Attribute | ARIS (Auto-Research-In-Sleep) | Superpowers |
|---|---|---|
| Purpose | Markdown-only skills for autonomous machine learning research. | A software development method for coding agents, built from composable skills. |
| Documented capabilities | Idea discovery workflow, Experiment runs, Cross-model review loops, Also ships as a CLI and plugins | Spec-first brainstorming before code, Written implementation plans, Subagent-driven development with task review, Skills that trigger automatically |
| Best-fit workflow | ML researchers who want agents to run long research loops. | Teams that want coding agents to plan and review before they write code. |
| Check before choosing | Recent Codex CLI versions changed the reviewer entry point. Read the README's compatibility notes first. | It changes how your agent works on every task. Try it on a side project first, and install it separately for each agent you use. |
| Deployment options | Claude Code, Codex CLI, Cursor | Claude Code plugin, Gemini CLI extension, Codex, Cursor, OpenCode |
| GitHub stars | 17,308 | 297,987 |
| License | MIT | MIT |
| Self-hosted | Yes | Yes |
| Docker noted | Not recorded | Not recorded |
| Cloud / hosted | Not recorded | Not recorded |
| Primary language | Python | Shell |
| Last commit | 2026-10-07 | 2026-10-10 |
| Difficulty | Moderate | Easy |
| Content source | Editorial catalog entry | Editorial catalog entry |
| Metadata checked | Check the current repository | 2026-10-12 |
| Forks | 1.5k | 27k |
| Star growth | Not recorded | +663 (2026-10-11 to 2026-10-12) |
| Alternative to | Not recorded | Not recorded |
This comparison uses recorded capabilities, not hands-on performance tests. A capability missing from one record does not mean that product lacks it. Confirm edition, version and current pricing in the official documentation.
When to consider ARIS (Auto-Research-In-Sleep)
ML researchers who want agents to run long research loops.
Recent Codex CLI versions changed the reviewer entry point. Read the README's compatibility notes first.
ARIS (Auto-Research-In-Sleep) documentation and sourceWhen to consider Superpowers
Teams that want coding agents to plan and review before they write code.
It changes how your agent works on every task. Try it on a side project first, and install it separately for each agent you use.
Superpowers documentation and sourceARIS (Auto-Research-In-Sleep) vs Superpowers questions
- What is ARIS (Auto-Research-In-Sleep)?
- Markdown-only skills for autonomous machine learning research.
- What is Superpowers?
- A software development method for coding agents, built from composable skills.
- Can you self-host ARIS (Auto-Research-In-Sleep) and Superpowers?
- Both can be self-hosted.
- What licenses do ARIS (Auto-Research-In-Sleep) and Superpowers use?
- ARIS (Auto-Research-In-Sleep) uses the MIT license. Superpowers uses the MIT license.
- Which has more GitHub stars, ARIS (Auto-Research-In-Sleep) or Superpowers?
- Superpowers has 298k stars and ARIS (Auto-Research-In-Sleep) has 17k. Stars show attention; check recent commits and releases for maintenance.
- What languages are ARIS (Auto-Research-In-Sleep) and Superpowers written in?
- ARIS (Auto-Research-In-Sleep) is mainly written in Python. Superpowers is mainly written in Shell.