MiroFish

What is MiroFish?

MiroFish is a next-generation AI prediction engine powered by multi-agent technology. It extracts seed information from real-world sources such as breaking news, policy drafts, or financial signals, and 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. Users can dynamically inject variables from a "God's-eye view" to precisely deduce future trajectories, effectively rehearsing the future in a digital sandbox and winning decisions after countless simulations.

Key features include: automated seed material processing, multi-agent simulation with diverse personalities and memory, dynamic variable injection, and detailed prediction reports. The engine supports a wide range of use cases, from financial market forecasting and political news prediction to social trend analysis and even creative simulations like predicting story outcomes. For example, MiroFish has been used to generate deep predictions based on the first 80 chapters of "Dream of the Red Chamber" and to simulate public opinion events.

Technically, MiroFish leverages swarm intelligence algorithms that capture collective emergence from individual interactions, breaking through the limitations of traditional prediction models. It offers an online demo environment where users can experience prediction simulations on trending topics. The engine is designed to be universal, allowing users to upload seed materials (data analysis reports or novel stories) and describe prediction requirements in natural language. In return, MiroFish provides a detailed prediction report and an interactive high-fidelity digital world for further exploration.

Benefits include the ability to test multiple scenarios without real-world consequences, gain insights into complex systems, and make data-driven decisions with higher confidence. MiroFish is ideal for researchers, analysts, strategists, and anyone curious about exploring "what if" scenarios. It is open-source and available on GitHub, with ongoing development and community support.

Use Cases

Key Features

Who is it for?

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