Mirofish — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Mirofish. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 2, 2026 • Sentiment updated: Apr 9, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As one user on HackerNews said, 'MiroFish: A Simple and Universal Swarm Intelligence Engine, Predicting Anything', the community is abuzz with discussions on MiroFish's capabilities. On GitHub, a user noted 'Benchmark testing 9 models on MiroFish-Offline orchestration task'

Pros & Cons

What People Love

The simplicity of MiroFish's swarm intelligence engine (HackerNews), The potential for MiroFish to predict anything (HackerNews), The open-source nature of MiroFish (GitHub)

Common Complaints

The lack of documentation for MiroFish (GitHub), The difficulty in integrating MiroFish with other systems (GitHub)

Biggest Positive: Simple Engine

Biggest Negative: Lack Docs

Why Mirofish Stands Out

MiroFish stands out from other AI prediction engines due to its unique multi-agent approach, which enables the construction of high-fidelity parallel digital worlds. This approach allows for the simulation of complex systems and the prediction of future outcomes with unprecedented accuracy.

Built With

Build a research agent that reads 50 papers and writes a literature review — DeerFlow chains search, extraction, and synthesis agents automatically., Build a public opinion simulator for a major election — MiroFish constructs a parallel digital world with intelligent agents that interact and evolve over time., Build a financial forecasting model that takes into account social media sentiment — MiroFish's graph-based approach enables the integration of diverse data sources., Build a swarm intelligence-based recommender system for e-commerce — MiroFish's agent configuration injection enables personalized product suggestions., Build a virtual reality experience for historical events — MiroFish's simulation capabilities enable the recreation of complex historical scenarios.

Getting Started

  1. Install the required dependencies by running `pip install -r requirements.txt`.
  2. Clone the repository and navigate to the project directory by running `git clone https://github.com/666ghj/MiroFish.git && cd MiroFish`.
  3. Configure the environment by running `python setup.py`.
  4. Start the simulation by running `python run.py`.
  5. Try interacting with an agent in the simulated world by running `python -m reportagent`.

About

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物

Official site: https://mirofish.ai

Category & Tags

Category: multi-agent

Tags: agent-memory, financial-forecasting, future-prediction, knowledge-graph, llms, multi-agent-simulation, public-opinion-analysis, python3, social-prediction, swarm-intelligence

Market Context

MiroFish is positioned as a unique swarm intelligence engine in a competitive market