Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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.
| Date | Stars |
|---|---|
| 2026-07-31 | 14045 |
| 2026-08-01 | 14045 |
| 2026-08-05 | 14290 |
| 2026-08-06 | 14290 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
60.0
growth rate 0.00%/day
# Auto-claude-code-research-in-sleep (ARIS ⚔️🌙)
<p align="center">
<a href="https://huggingface.co/papers/2605.03042">
<img src="docs/hf_daily_paper_1.svg" alt="Hugging Face Daily Paper · #1 Paper of the Day" width="360">
</a>
</p>
[](https://huggingface.co/papers/2605.03042) · [](https://wanshuiyin.github.io/Auto-claude-code-research-in-sleep/ARIS_INTRO.html) · [](docs/aris_intro_slides.pdf) · [](AGENT_GUIDE.md) · [](https://mp.weixin.qq.com/s/tDniVryVGjDkkkWl-5sTkQ) · [](https://github.com/VoltAgent/awesome-agent-skills) · [-orange?style=flat)](https://aidigitalcrew.com) · [](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/stargazers) · [💬 Join Community](#community) · [](#citation)
💡 *Use ARIS as a skill-based workflow in [Claude Code](https://docs.anthropic.com/en/docs/claude-code) / [Codex CLI](skills/skills-codex/) / [Cursor](docs/CURSOR_ADAPTATION.md) / [Trae](docs/TRAE_ARIS_RUNBOOK_EN.md) / [Antigravity](docs/ANTIGRAVITY_ADAPTATION.md) / [GitHub Copilot CLI](docs/COPILOT_CLI_ADAPTATION.md) / [OpenClaw](docs/OPENCLAW_ADAPTATION.md), or get the full experience with the standalone **[ARIS-Code](docs/ARIS-Code-README_EN.md)** CLI — enjoy any way you like!*
🌱 *ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go.*
🤖 **AI agents:** Read [`AGENT_GUIDE.md`](AGENT_GUIDE.md) instead — structured for LLM consumption, not human browsing.
🛡️ **ARIS audits its own output → now [Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) audits everyone's.** It catalogs **46 integrity hack-patterns across 8 families (A–H), plus 13 zero-verdict-weight AI-style impressions and 2 advisory signals — 61 signals total** — and checks a submission for them **end-to-end**, producing a deterministic, reviewer-ready integrity report. *Self-consistency + fabrication forensics, **not** an AI-text detector.*
<p align="center"><em>The field has put up with unreliable autoresearch long enough —<br>Anti-Autoresearch is the read that finally catches it.</em></p>
🎬 **ARIS goes multimodal → [ARIS-Movie-Director](https://github.com/wanshuiyin/ARIS-Movie-Director)** — hand it a rough story and get back a movie told in still frames, checked scene by scene (the reference run has 19 scenes).
Long stories usually break when the model forgets earlier details or judges its own work — so ARIS keeps a research-wiki for memory and has other models check every frame.
<p align="center">
<a href="https://github.com/wanshuiyin/ARIS-Movie-Director">
<img src="docs/aris-movie-director-method.png" alt="ARIS-Movie-Director method — the audited spiral: authored source of truth (asset library · outline · storyboard · comic.json) → per-panel image_gen + cross-model panel_gate (blind token-diff, single-vote veto) → research-wiki audit trace →Excerpt of 204,168 characters
Read on GitHub
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Yongcan Li
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pablo
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Jiayu Wang · China
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markfu909
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:952b53943660a005, topic:llm, topic:gpt
matched fp:952b53943660a005, topic:deep-learning
matched fp:952b53943660a005, topic:mcp, topic:mcp-server