← Discover
GitHub · 666ghj/MiroFish↑ +320 today

Swarm intelligence engine for data prediction

MiroFish offers a simple and universal swarm intelligence engine developed to predict various types of data. This Python-based tool uses collective computing methods to identify patterns in complex systems.

Updates

  • October 22, 2026: Stars 77,183 → 81,131, latest release v0.1.2 (March 7, 2026).
  • October 8, 2026: Stars 73,507 → 77,183, latest release v0.1.2 (March 7, 2026).
  • September 15, 2026: Stars 69,813 → 73,507, latest release v0.1.2 (March 7, 2026).
  • August 2, 2026: Stars 64,830 → 69,813, latest release v0.1.2 (March 7, 2026).

What you get

  • Creates digital simulation worlds from real world data.
  • It enables interaction with artificial intelligence agents with independent personalities.
  • Rehearses complex scenarios and possible future outcomes.

Installation

Single Command Installation
npm run setup:all

Running it

Starting Services
npm run dev

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

I want to start a simulation using the MiroFish tool. First I need to configure my .env file; How do I correctly add my LLM API key and Zep Cloud information to this file? Then, what steps should I follow to create a digital world that agents will interact with by uploading the data set or story text I have to the system? How can I get the results of the simulation and the prediction report in the most efficient way?

Repository: https://github.com/666ghj/MiroFish. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

If an API key is required, do not ask me to type it into the chat. Show me how to add it to the .env file and ensure this file is not pushed to Git.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forIt is for decision makers and curious users who want to gain insights into the future by simulating complex events, political processes or fictional scenarios in a digital sandbox environment.
LicenseAGPL-3.0

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-06: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.