Add English README file for MiroFish project

- Introduced a new README-EN.md file to provide English documentation for the MiroFish project.
- Included an overview of the project, vision, demo videos, quick start guide, and environment variable configuration.
- Updated the existing README.md to link to the new English documentation.

README-EN.md

@@ -0,0 +1,104 @@
+<div align="center">
+
+<img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
+
+<strong>简洁通用的群体智能引擎，预测万物</strong>
+<em>A Simple and Universal Swarm Intelligence Engine, Predicting Anything</em>
+
+[English](./README-EN.md) | [中文文档](./README.md)
+
+</div>
+
+## ⚡ Overview
+
+**MiroFish** is a next-generation AI prediction engine powered by multi-agent technology. By extracting seed information from the real world (such as breaking news, policy drafts, or financial signals), it automatically constructs a high-fidelity parallel digital world. Within this space, thousands of intelligent agents with independent personalities, long-term memory, and behavioral logic freely interact and undergo social evolution. You can inject variables dynamically from a "God's-eye view" to precisely deduce future trajectories — **rehearse the future in a digital sandbox, and win decisions after countless simulations**.
+
+> You only need to: Upload seed materials (data analysis reports or interesting novel stories) and describe your prediction requirements in natural language
+> MiroFish will return: A detailed prediction report and a deeply interactive high-fidelity digital world
+
+#### Our Vision
+
+MiroFish is dedicated to creating a swarm intelligence mirror that maps reality. By capturing the "collective emergence" triggered by individual interactions, we break through the limitations of traditional prediction:
+
+- **At the Macro Level**: We are a rehearsal laboratory for decision-makers, allowing policies and public relations to be tested at zero risk
+- **At the Micro Level**: We are a creative sandbox for individual users — whether deducing novel endings or exploring imaginative scenarios, everything can be fun, playful, and accessible
+
+From serious predictions to playful simulations, we let every "what if" see its outcome, making it possible to predict anything.
+
+## 🎬 Demo Videos - Coming Soon
+
+1. Complete demo video for prediction based on BettaFish-generated public opinion report
+2. Complete demo video for "Dream of the Red Chamber" ending prediction
+3. Complete demo video for financial prediction
+
+## 🚀 Quick Start
+
+### Prerequisites
+
+| Tool | Version | Description | Check Installation |
+|------|---------|-------------|-------------------|
+| **Node.js** | 18+ | Frontend runtime, includes npm | `node -v` |
+| **Python** | 3.11+ | Backend runtime | `python --version` |
+| **uv** | Latest | Python package manager (pip alternative) | `uv --version` |
+
+### 1. Configure Environment Variables
+
+```bash
+# Copy the example configuration file
+cp .env.example .env
+
+# Edit the .env file and fill in the required API keys
+```
+
+**Required Environment Variables:**
+
+```env
+# LLM API Configuration (supports any LLM with OpenAI SDK format)
+# Recommended: Alibaba Qwen-plus model via DashScope: https://dashscope.aliyun.com/
+LLM_API_KEY=your_api_key
+LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
+LLM_MODEL_NAME=qwen-plus
+
+# Zep Cloud Configuration
+# Free monthly quota is sufficient for usage: https://app.getzep.com/
+ZEP_API_KEY=your_zep_api_key
+```
+
+### 2. Install Dependencies
+
+```bash
+# One-click installation of all dependencies (root + frontend + backend)
+npm run setup:all
+```
+
+Or install step by step:
+
+```bash
+# Install Node dependencies (root + frontend)
+npm run setup
+
+# Install Python dependencies (auto-creates virtual environment)
+npm run setup:backend
+```
+
+### 3. Start Services
+
+```bash
+# Start both frontend and backend (run from project root)
+npm run dev
+```
+
+**Service URLs:**
+- Frontend: `http://localhost:3000`
+- Backend API: `http://localhost:5001`
+
+**Start Individually:**
+
+```bash
+npm run backend   # Start backend only
+npm run frontend  # Start frontend only
+```
+
+## 📄 License
+
+This project is licensed under the [Apache-2.0 License](./LICENSE).

README.md

@@ -1,19 +1,20 @@
-<p align="center">
+<div align="center">
-  <img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
+
-</p>
+<img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
 
-<p align="center">
 <strong>简洁通用的群体智能引擎，预测万物</strong>
-  <br />
 <em>A Simple and Universal Swarm Intelligence Engine, Predicting Anything</em>
-</p>
+
+[English](./README-EN.md) | [中文文档](./README.md)
+
+</div>
 
 ## ⚡ 项目概述
 
 **MiroFish** 是一款基于多智能体技术的新一代 AI 预测引擎。通过提取现实世界的种子信息（如突发新闻、政策草案、金融信号），自动构建出高保真的平行数字世界。在此空间内，成千上万个具备独立人格、长期记忆与行为逻辑的智能体进行自由交互与社会演化。你可透过「上帝视角」动态注入变量，精准推演未来走向——**让未来在数字沙盘中预演，助决策在百战模拟后胜出**。
 
-> 你只需：上传一份或多份「种子材料」（舆情分析报告、量化分析报告，甚至有趣的小说故事），并用自然语言描述你的模拟/预测需求
+> 你只需：上传种子材料（数据分析报告或者有趣的小说故事），并用自然语言描述预测需求
-> MiroFish 将返回：一份详尽的模拟/预测报告，以及一个可深度交互、可按你意愿持续推演的高保真数字世界
+> MiroFish 将返回：一份详尽的预测报告，以及一个可深度交互的高保真数字世界
 
 #### 我们的愿景
 
@@ -22,7 +23,7 @@ MiroFish 致力于打造映射现实的群体智能镜像，通过捕捉个体
 - **于宏观**：我们是决策者的预演实验室，让政策与公关在零风险中试错
 - **于微观**：我们是个人用户的创意沙盘，无论是推演小说结局还是探索脑洞，皆可有趣、好玩、触手可及
 
-从严肃预测到趣味仿真，我们让每一个「如果」都能看见结果，让**预测万物**成为可能。
+从严肃预测到趣味仿真，我们让每一个如果都能看见结果，让预测万物成为可能。
 
 ## 🎬 演示视频-待上传
 
@@ -53,7 +54,7 @@ cp .env.example .env
 
 ```env
 # LLM API配置（支持 OpenAI SDK 格式的任意 LLM）
-# 推荐使用阿里百炼平台Qwen-plus模型：https://bailian.console.aliyun.com/
+# 推荐使用阿里百炼平台qwen-plus模型：https://bailian.console.aliyun.com/
 LLM_API_KEY=your_api_key
 LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
 LLM_MODEL_NAME=qwen-plus