MiroFish AI

MiroFish provides a powerful framework for running multi-agent prediction simulations based on various inputs. Core capabilities include: * Multi-agent swarm intelligence for emergent behavior * Graph-based knowledge extraction from documents * Natural language interface for scenario setup * Structured prediction reports with detailed analysis The platform allows users to transform seed documents, market signals, policy drafts, or simple scenario prompts into comprehensive simulation reports. It builds agent personas, simulates social dynamics, and delivers structured outputs that can be inspected and discussed. This enables understanding potential outcomes, such as how customer sentiment might shift after a price change or how public opinion could evolve following a brand's spokesperson change. Designed for analysts, strategists, and researchers, MiroFish facilitates exploring 'what-if' scenarios across various domains. It eliminates complex setups by handling seed extraction, simulation orchestration, and report generation automatically, all within a single natural language conversation. The platform integrates knowledge graphs and multi-agent systems to provide a unified prediction environment. Users can access an online workspace, explore demo reports, and utilize GitHub and Docker resources for self-hosting. Each simulation yields a detailed report covering narrative analysis, group dynamics, probability estimates, and timeline projections, with options to delve deeper into specific findings.