xyskywalker

xyskywalker / Ripple

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Ripple（涟漪） 是一个基于 复杂自适应系统（Complex Adaptive System, CAS）理论 构建的 Agent-Native 通用人类社会行为预测引擎。 / Ripple is an Agent-Native universal human social behavior prediction engine built on Complex Adaptive System (CAS) theory.

agent ai cas prediction prediction-engine
36
2
100% credibility
Found Feb 21, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Ripple simulates how content spreads on social media platforms like Xiaohongshu and Douyin by modeling interactions between AI influencers and user groups.

How It Works

1
🔍 Discover Ripple

You hear about Ripple, a smart tool that predicts how your social media post will spread like ripples in water.

2
📥 Get it ready

Download and set up Ripple on your computer in a few simple steps.

3
🔗 Link smart thinkers

Connect Ripple to AI services so it can simulate real people reacting to your content.

4
✍️ Describe your post

Type in details about your post, like title, tags, and what it's about, just like planning a real share.

5
Pick your platform
🔴
Xiaohongshu

Perfect for lifestyle notes and beauty tips.

🎵
Douyin

Great for short videos that go viral fast.

🔥
Weibo

Ideal for hot topics and quick buzz.

6
🚀 Watch the simulation

Hit go and see AI influencers and groups react, spreading your content step by step.

📈 See your forecast

Get predictions on views, likes, and tips to make your post explode, so you post with confidence.

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AI-Generated Review

What is Ripple?

Ripple simulates human social behavior spread using complex adaptive system theory, predicting how content ripples through networks like water waves. Drop in a social media post—like a Xiaohongshu beauty review—and it outputs propagation forecasts with confidence scores, timelines, dynamics diagnostics, and optimization tips across platforms including Douyin, Weibo, and Bilibili. Built in Python with LLM backends (Anthropic, OpenAI-compatible like Qwen/Doubao, Bedrock), it runs via a simple async API: configure llm_config.yaml then call simulate(event={}, platform="xiaohongshu").

Why is it gaining traction?

Unlike per-user agent sims like OASIS (300k+ LLM calls), Ripple aggregates similar users into groups for ~50-150 calls—minutes not hours—while capturing emergence, feedback loops, and phase shifts via CAS. Zero-code extensions via natural language platform profiles beat hardcoded alternatives, and bilingual docs plus 148 passing tests make it production-ready fast. It's not github ripple js, ripple wallet, or ripple ui frameworks—think sharp wave ripple complexes for real ripple effect predictions.

Who should use this?

Content marketers testing Xiaohongshu or Douyin virality before posting; product managers forecasting market reactions to launches; analysts tracking ripple xrp news or ripple kurs euro sentiment shifts on Weibo/Zhihu. Ideal for remote ripple github teams handling Chinese social dynamics or ripple20 github-style vuln propagation sims.

Verdict

Early v0.1.0 with 18 stars and 1.0% credibility signals experiment-only for now, but comprehensive docs, AGPL license, and cost wins over OASIS make it worth a spin for niche sims. Pair with cheap LLMs like Doubao for quick ripple deutsch or xrp etf prototypes.

(198 words)

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