666ghj--mirofishlisted
Install: claude install-skill yanacuti1121/Yana-AI
MiroFish: prediction engine dùng multi-agent swarm — build digital simulation từ seed data, run thousands of agents interact và evolve, dự đoán future trajectories.
## Use Cases
- Policy simulation trước khi triển khai thực tế
- Public opinion simulation
- Financial/political prediction
- Literary/narrative analysis (e.g., alternate storyline endings)
- Scenario testing cho hypothetical decisions
## 5-Stage Pipeline
```
Stage 1 — Graph Building
Ingest seed data (reports, news, stories)
Build GraphRAG structures + memory injection
Stage 2 — Environment Setup
Extract entity relationships
Generate agent personas
Configure interaction rules
Stage 3 — Simulation
Run parallel dual-platform simulations
Dynamic temporal memory updates
Thousands of agents interact + evolve
Stage 4 — Report Generation
ReportAgent với specialized toolsets
Post-simulation analysis + insights
Stage 5 — Deep Interaction
Chat với simulated agents
Chat với ReportAgent về findings
```
## Stack
```
Frontend: Node.js 18+ (localhost:3000)
Backend: Python 3.11-3.12 (localhost:5001)
LLM: Alibaba Qwen (recommended) hoặc bất kỳ OpenAI-compatible
Memory: Zep Cloud
Deploy: source code hoặc Docker
```
## Quick Start
```bash
git clone https://github.com/666ghj/MiroFish
cd MiroFish
# Setup .env với LLM API key
docker-compose up
# Frontend: localhost:3000
# Upload seed data → describe prediction → get report
```
## Khi nào dùng
- Cần test policy/strategy trước khi commit
- M