NemoFish

Swarm intelligence engine for sports prediction - 6 AI agents analyze 971K+ matches across 57 years to forecast tennis outcomes. Built on MiroFish.

Swarm Intelligence Engine for Predictive Analytics

Multi-agent reasoning · Consensus scoring · Autonomous execution

Quick Start · How It Works · Dashboard · Credits

Overview

NemoFish is a swarm intelligence platform that coordinates multiple AI agents to generate probabilistic forecasts for competitive sports events. Each agent brings a different analytical lens — statistical modeling, psychological profiling, market signal analysis, scenario simulation — and they reach consensus through weighted voting. The system then scores opportunities by expected value and can execute positions on prediction markets autonomously.

This project began as a fork of MiroFish, an open-source multi-agent simulation engine developed by the CAMEL-AI research community. We extended MiroFish with a full-stack sports analytics pipeline and a unified control room for real-time monitoring.

An R&D project by ASG Compute — exploring whether coordinated multi-agent reasoning can identify inefficiencies in prediction markets.

📊 Scale & Data Coverage