MiroFish — Universal Swarm Intelligence Prediction Engine

Introduction

MiroFish is an open-source swarm intelligence engine that coordinates multiple LLM agents to analyze data, build knowledge graphs, and generate predictions. It applies multi-agent simulation to domains like financial forecasting, public opinion analysis, and trend prediction.

What MiroFish Does

• Coordinates swarms of specialized agents to collaboratively analyze complex datasets
• Builds and queries knowledge graphs to surface relationships in unstructured data
• Generates predictions for financial markets, social trends, and public opinion shifts
• Provides structured reports with confidence scores and supporting evidence
• Supports custom prediction tasks defined through natural language prompts

Architecture Overview

MiroFish uses a multi-agent architecture where specialized agents (data collector, analyst, predictor, critic) communicate through a shared knowledge graph. The orchestration layer distributes tasks, aggregates agent outputs using swarm consensus algorithms, and produces a final prediction with a confidence interval. The system uses LLM backends for reasoning and Python for data processing.

Self-Hosting & Configuration

• Install via pip with Python 3.9+ and configure LLM API keys in environment variables
• Supports OpenAI, Anthropic, and local model backends through a unified adapter
• Knowledge graph storage defaults to a local SQLite database; PostgreSQL optional for scale
• Custom data connectors can be added for proprietary data sources
• GPU not required for inference; training custom agents is optional

Key Features

• Swarm consensus mechanism aggregates diverse agent perspectives into robust predictions
• Dynamic knowledge graph construction from unstructured text and structured data
• Multi-domain support covering finance, social media, public policy, and technology trends
• Confidence scoring with explainable reasoning chains for each prediction
• Agent memory enables learning from past prediction accuracy across sessions

Comparison with Similar Tools

• TradingAgents — focused on financial trading; MiroFish handles broader prediction domains
• CrewAI — general multi-agent orchestration; MiroFish adds swarm consensus and knowledge graphs
• AutoGen — multi-agent conversations; MiroFish specializes in structured prediction workflows
• LangGraph — agent graph framework; MiroFish provides a complete prediction application on top

FAQ

Q: What types of predictions can MiroFish make? A: Financial trends, social media sentiment shifts, technology adoption curves, and custom domains.

Q: Does it require real-time data feeds? A: No. MiroFish works with both historical datasets and real-time data connectors.

Q: How does swarm consensus differ from a single agent? A: Multiple agents analyze independently, then consensus algorithms weight and merge their outputs for higher accuracy.

Q: Can I add custom agent types? A: Yes. The plugin system supports custom agent roles with specialized prompts and tools.

Sources

• https://github.com/666ghj/MiroFish