Auto-claude-code-research-in-sleep

💡 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 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.

🚀 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 goes multimodal → ARIS-Movie-Director — from research & coding into visual generation: hand over a fuzzy story, wake up to a cross-model-audited movie (reference run = 19 scenes). Long-horizon visual stories drift two ways — 🧠 long-range forgetting and 🗣️ self-approved streaming (each frame signed off by the model that drew it). ARIS answers with the same DNA: a research-wiki for memory + multi-agent debate so no frame signs off on itself.

🎞️ A few frames from the reference movie — including the story's own integrity beat (a run that *reported +6.2* but *really moved +1.4*). Image-based today, video next — ▶ watch all 19 scenes →

🎯 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 🌱