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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

  • 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?

Related dictionary terms

Swarm Intelligence EngineSwarm IntelligenceSandboxLLMAPIArtificial Intelligence
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. This page was machine-translated from the Turkish original · the Turkish version prevails.