203 lines
No EOL
8.9 KiB
Markdown
203 lines
No EOL
8.9 KiB
Markdown
<div align="center">
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<img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
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<a href="https://trendshift.io/repositories/16144" target="_blank"><img src="https://trendshift.io/api/badge/repositories/16144" alt="666ghj%2FMiroFish | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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简洁通用的群体智能引擎，预测万物
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</br>
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<em>A Simple and Universal Swarm Intelligence Engine, Predicting Anything</em>
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<a href="https://www.shanda.com/" target="_blank"><img src="./static/image/shanda_logo.png" alt="666ghj%2MiroFish | Shanda" height="40"/></a>
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[](https://github.com/666ghj/MiroFish/stargazers)
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[](https://github.com/666ghj/MiroFish/watchers)
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[](https://github.com/666ghj/MiroFish/network)
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[](https://hub.docker.com/)
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[](https://deepwiki.com/666ghj/MiroFish)
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[](https://discord.com/channels/1469200078932545606/1469201282077163739)
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[](https://x.com/mirofish_ai)
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[](https://www.instagram.com/mirofish_ai/)
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[English](./README-EN.md) | [中文文档](./README.md)
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</div>
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## ⚡ Overview
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**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**.
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> You only need to: Upload seed materials (data analysis reports or interesting novel stories) and describe your prediction requirements in natural language</br>
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> MiroFish will return: A detailed prediction report and a deeply interactive high-fidelity digital world
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### Our Vision
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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:
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- **At the Macro Level**: We are a rehearsal laboratory for decision-makers, allowing policies and public relations to be tested at zero risk
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- **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
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From serious predictions to playful simulations, we let every "what if" see its outcome, making it possible to predict anything.
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## 🌐 Live Demo
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Welcome to visit our online demo environment and experience a prediction simulation on trending public opinion events we've prepared for you: [mirofish-live-demo](https://666ghj.github.io/mirofish-demo/)
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## 📸 Screenshots
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<div align="center">
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<table>
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<tr>
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<td><img src="./static/image/Screenshot/运行截图1.png" alt="Screenshot 1" width="100%"/></td>
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<td><img src="./static/image/Screenshot/运行截图2.png" alt="Screenshot 2" width="100%"/></td>
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</tr>
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<tr>
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<td><img src="./static/image/Screenshot/运行截图3.png" alt="Screenshot 3" width="100%"/></td>
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<td><img src="./static/image/Screenshot/运行截图4.png" alt="Screenshot 4" width="100%"/></td>
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</tr>
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<tr>
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<td><img src="./static/image/Screenshot/运行截图5.png" alt="Screenshot 5" width="100%"/></td>
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<td><img src="./static/image/Screenshot/运行截图6.png" alt="Screenshot 6" width="100%"/></td>
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</tr>
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</table>
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</div>
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## 🎬 Demo Videos
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### 1. Wuhan University Public Opinion Simulation + MiroFish Project Introduction
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1VYBsBHEMY/" target="_blank"><img src="./static/image/武大模拟演示封面.png" alt="MiroFish Demo Video" width="75%"/></a>
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Click the image to watch the complete demo video for prediction using BettaFish-generated "Wuhan University Public Opinion Report"
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</div>
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### 2. Dream of the Red Chamber Lost Ending Simulation
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1cPk3BBExq" target="_blank"><img src="./static/image/红楼梦模拟推演封面.jpg" alt="MiroFish Demo Video" width="75%"/></a>
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Click the image to watch MiroFish's deep prediction of the lost ending based on hundreds of thousands of words from the first 80 chapters of "Dream of the Red Chamber"
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</div>
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> **Financial Prediction**, **Political News Prediction** and more examples coming soon...
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## 🔄 Workflow
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1. **Graph Building**: Seed extraction & Individual/collective memory injection & GraphRAG construction
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2. **Environment Setup**: Entity relationship extraction & Persona generation & Agent configuration injection
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3. **Simulation**: Dual-platform parallel simulation & Auto-parse prediction requirements & Dynamic temporal memory updates
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4. **Report Generation**: ReportAgent with rich toolset for deep interaction with post-simulation environment
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5. **Deep Interaction**: Chat with any agent in the simulated world & Interact with ReportAgent
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## 🚀 Quick Start
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### Option 1: Source Code Deployment (Recommended)
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#### Prerequisites
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| Tool | Version | Description | Check Installation |
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|------|---------|-------------|-------------------|
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| **Node.js** | 18+ | Frontend runtime, includes npm | `node -v` |
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| **Python** | ≥3.11, ≤3.12 | Backend runtime | `python --version` |
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| **uv** | Latest | Python package manager | `uv --version` |
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#### 1. Configure Environment Variables
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```bash
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# Copy the example configuration file
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cp .env.example .env
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# Edit the .env file and fill in the required API keys
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```
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**Required Environment Variables:**
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```env
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# LLM API Configuration (supports any LLM API with OpenAI SDK format)
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# Recommended: Alibaba Qwen-plus model via Bailian Platform: https://bailian.console.aliyun.com/
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# High consumption, try simulations with fewer than 40 rounds first
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LLM_API_KEY=your_api_key
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LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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LLM_MODEL_NAME=qwen-plus
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# Zep Cloud Configuration
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# Free monthly quota is sufficient for simple usage: https://app.getzep.com/
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ZEP_API_KEY=your_zep_api_key
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```
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#### 2. Install Dependencies
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```bash
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# One-click installation of all dependencies (root + frontend + backend)
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npm run setup:all
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```
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Or install step by step:
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```bash
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# Install Node dependencies (root + frontend)
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npm run setup
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# Install Python dependencies (backend, auto-creates virtual environment)
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npm run setup:backend
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```
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#### 3. Start Services
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```bash
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# Start both frontend and backend (run from project root)
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npm run dev
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```
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**Service URLs:**
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- Frontend: `http://localhost:3000`
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- Backend API: `http://localhost:5001`
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**Start Individually:**
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```bash
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npm run backend # Start backend only
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npm run frontend # Start frontend only
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```
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### Option 2: Docker Deployment
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```bash
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# 1. Configure environment variables (same as source deployment)
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cp .env.example .env
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# 2. Pull image and start
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docker compose up -d
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```
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Reads `.env` from root directory by default, maps ports `3000 (frontend) / 5001 (backend)`
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> Mirror address for faster pulling is provided as comments in `docker-compose.yml`, replace if needed.
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## 📬 Join the Conversation
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<div align="center">
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<img src="./static/image/QQ群.png" alt="QQ Group" width="60%"/>
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</div>
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The MiroFish team is recruiting full-time/internship positions. If you're interested in multi-agent simulation and LLM applications, feel free to send your resume to: **mirofish@shanda.com**
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## 📄 Acknowledgments
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**MiroFish has received strategic support and incubation from Shanda Group!**
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MiroFish's simulation engine is powered by **[OASIS (Open Agent Social Interaction Simulations)](https://github.com/camel-ai/oasis)**, We sincerely thank the CAMEL-AI team for their open-source contributions!
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## 📈 Project Statistics
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<a href="https://www.star-history.com/#666ghj/MiroFish&type=date&legend=top-left">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&theme=dark&legend=top-left" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
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</picture>
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</a> |