MiroFish
MiroFish is an open-source multi-agent simulation engine for developers and researchers who want to turn real-world text into scenario-based model outputs.
Tool overview
Adoption judgment: MiroFish is worth trying as an experimental multi-agent simulation workbench, not as a proven service for predicting the future. It can help explore how an event might unfold under modeled assumptions, but the available evidence does not establish forecast accuracy or decision-grade reliability.
Its practical workflow starts with news, policy, market signals, or other text as seed information, then builds a knowledge graph and parallel digital world where many AI agents interact, conflict, and cooperate. A more accurate comparison is an LLM-based agent simulation environment—not a search engine, recommender, conventional quant-trading system, or oracle for future events. Viral X claims about using it to predict BTC profits are attention signals, not capability proof.
The cost and setup burden are meaningful. Open source means the code is available, not that operation is free. A Zhihu technical analysis relaying project guidance says 15 rounds may take about an hour, with every agent calling an LLM API each round; usage therefore grows with simulation scale, and the article recommends starting below 40 rounds.