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>

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💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone ARIS-Code 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 instead — structured for LLM consumption, not human browsing.

🛡️ ARIS audits its own output → now 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 — 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 → assembly + release" width="100%"> </a> </p>

🧭 The same loop also makes clean method / flow diagrams — the figure above was made with it. Entry points in ARIS-Movie-Director: /movie-pipeline and /method-figure, the skill that made this figure.

<details> <summary>🎞️ <i>A few frames from the reference movie — the story's own integrity beat: a run that <b>reported <code>+6.2</code></b> but <b>really moved <code>+1.4</code></b>.</i> &nbsp;<b><a href="https://wanshuiyin.github.io/ARIS-Movie-Director/comic/">▶ watch all 19 scenes →</a></b></summary> <table><tr> <td width="33%"><a href="https://wanshuiyin.github.io/ARIS-Movie-Director/comic/"><img src="https://raw.githubusercontent.com/wanshuiyin/ARIS-Movie-Director/main/docs/preview_audit.webp" alt="ARIS-Movie-Director frame — the evaluator-integrity audit page" width="100%"></a></td> <td width="33%"><a href="https://wanshuiyin.github.io/ARIS-Movie-Director/comic/"><img src="https://raw.githubusercontent.com/wanshuiyin/ARIS-Movie-Director/main/docs/preview_panels.webp" alt="ARIS-Movie-Director frame — a multi-panel scene" width="100%"></a></td> <td width="33%"><a href="https://wanshuiyin.github.io/ARIS-Movie-Director/comic/"><img src="https://raw.githubusercontent.com/wanshuiyin/ARIS-Movie-Director/main/docs/preview_fix.webp" alt="ARIS-Movie-Director frame — the integrity beat (reported +6.2, really moved +1.4)" width="100%"></a></td> </tr></table> </details>

🎯 准备 2026 AI 秋招？ → 🌐 ARIS-in-AI-Offer · GitHub repo · 中文 README —— 23 篇双语 ML / LLM / 多模态 / 生成式 / Agent 面试 cheat sheet，每篇 = 公式推导 + 从零 PyTorch + 25 高频面试题（L1 / L2 / L3），全部由 ARIS 的 /render-html 自动生成。希望大家秋招轻松一点 🌱

<details> <summary><b>🖼️ Preview</b> — the three-pillar cheat-sheet strip (① Foundations · ② Interview Q&amp;A · ③ From-Scratch Code)</summary> <p align="center"> <a href="https://github.com/wanshuiyin/ARIS-in-AI-Offer"> <img src="https://raw.githubusercontent.com/wanshuiyin/ARIS-in-AI-Offer/main/assets/preview_strip.jpg" alt="ARIS-in-AI-Offer preview — ① Foundations + ② Interview Q&A + ③ From-Scratch Code, three columns from a representative cheat sheet" width="100%"> </a> </p> </details>

📝 Three long-form blogs, cross-model collaborative writing via /render-html — Continuous DLM — a representation-perspective survey (2026 H1) · Cosmos 3 — understanding + generation in one Transformer (MoT) · Diffusion × representation × manifold learning.

🛰 Keep an eye on your agent windows — Claude Fleet (by @tianyilt; local read-only dashboard for many parallel Claude Code / Codex windows, full-text transcript search — worth a ⭐), or the lighter built-in ARIS-Monitor (a tiny always-on-top macOS widget that lights up 🔴 when a session waits for your approval; click to jump there).

<details> <summary><b>🖼️ Preview</b> — Claude Fleet dashboard (full web) &amp; ARIS-Monitor widget (minimal, built-in)</summary> <table align="center" width="100%"> <tr> <td width="66%" align="center" valign="top"> <a href="https://github.com/tianyilt/claude-fleet"><img src="assets/claude-fleet-preview.png" width="100%" alt="Claude Fleet — full local web dashboard for many concurrent Claude Code / Codex windows (triage, Focus, full-text search, skill/memory analytics)"></a> </td> <td width="34%" align="center" valign="top"> <a href="aris-monitor/"><img src="aris-monitor/assets/screenshot.png" width="100%" alt="ARIS-Monitor — minimal always-on-top floating widget showing which Claude Code sessions need approval (calm all-clear vs red ATTENTION)"></a> </td> </tr> <tr> <td align="center"><b><a href="https://github.com/tianyilt/claude-fleet">Claude Fleet</a></b> · 全功能网页看板</td> <td align="center"><b><a href="aris-monitor/">ARIS-Monitor</a></b> · 极简悬浮小窗(自带)</td> </tr> </table> </details> <details> <summary><b>Run either in seconds</b> — ARIS-Monitor (5s) / Claude Fleet (30s)</summary>

ARIS-Monitor — built-in, no clone / no pip / no browser:

cd aris-monitor && ./run.sh
# a borderless panel floats top-right; click a row to jump to that terminal

Claude Fleet — full web dashboard:

git clone https://github.com/tianyilt/claude-fleet
cd claude-fleet && bash run.sh
# open http://127.0.0.1:7878 in your browser

</details>

🚀 Beyond 科研 → 任何 "研究"：ARIS-Anything 把 ARIS 的五步 loop（plan / draft / 对抗审 / 迭代 / 持久化）推广到非学术的结构化研究——投资尽调 / 法律研究 / 市场研究 / 自驱学习 / 调查新闻 / 工程复盘等。

🔥 ARIS-Code CLI — 独立安装版 · English | ⬇️ Download ·

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📰 ARIS-Code v0.4.23 (2026-08) — latest is the output-folding release: fixes the top real-user complaint that the CLI dumped the FULL content of every document it read (a 2000-line paper = 2000 lines on screen) plus every command's full stdout — tool output now folds to a few lines with one dim "… (+N more lines)" hint (ARIS_TOOL_OUTPUT_LINES=0 restores the old display; the model's context, JSON output and /export always keep complete payloads). Also: bash timeouts now actually kill the command, and the bundle picks up /integrity-forensics — the Anti-Autoresearch SHA-pinned launcher (81 bundled skills). Headline features: v0.4.18 — default model Claude Opus 4.8 and v0.4.17 — the MCP release (mcpServers drive real tool dispatch; cross-model review needs no OpenAI API key — aris setup wires your ChatGPT subscription in as reviewer via Codex MCP). Caps a 19-release run (v0.4.5 → v0.4.23); per-release detail below. Credits: @GetIT-Sunday, @Anduin9527, @GO-player-hhy, @Jxy-yxJ, @screw-44, @StevenUST, @opposj, @ShijunLei-cn, @algojogacor.

</td> <td valign="top" width="40%"> <img src="docs/aris-code-banner.png" width="100%" alt="ARIS-Code CLI terminal — Auto Research in Sleep"> </td> </tr> </table>

<details><summary>Per-release details (v0.4.5 → v0.4.23)</summary>

v0.4.23 (2026-08-02) — the output-folding release (top real-user complaint: "aris dumps thinking and the full content of documents it reads onto the screen"). 🧹 Tool-output folding, display layer ONLY: the disk-verified culprits were format_read_result appending the ENTIRE read payload, bash pushing full stdout/stderr, grep dumping its full content blob, and the edit preview capping line counts but not line LENGTH. Now Read/Grep show the first 6 lines, Bash shows first 4 + last 4 per stream (stderr keeps its red), each kept line capped at 240 chars (the minified-single-line case), then one dim "… (+N more