Local-first multi-agent simulation and prediction engine powered by Ollama (github.com)

A new local-first multi-agent simulation and prediction engine, called Mirollama, has been released, enabling users to run an advanced simulation environment powered by Ollama without the need for paid API keys. This repository, a derivative of the MiroFish project, emphasizes easy onboarding by allowing users to clone the repo, install dependencies, and run both frontend and backend services locally. The system uses a Flask backend to manage simulation workflows, complemented by a Vite and Vue-based frontend that facilitates user interaction and report generation. The significance of Mirollama lies in its offline-friendly capabilities and accessibility for developers and researchers working with AI/ML technologies. By leveraging Ollama's OpenAI-compatible endpoint, it supports various language models while maintaining a simple setup process. This project not only enhances the toolkit available for multi-agent simulations but also encourages local execution, enabling users to work with complex modeling scenarios without relying on external cloud services. The combination of frontend and backend services provides a comprehensive platform for experimenting with AI-driven simulations and predictions, ultimately fostering innovation in the AI community.