MiroFish is a simple and universal swarm intelligence engine that turns real-world seeds such as news, policy drafts, analytical reports, or fiction into a parallel world populated by agents with memory, motives, and social behavior. The product is built around a five-step workflow. Step 01, Ontology Generation, turns raw reports, notes, or fiction into structured entities, motives, and factual anchors. Step 02, Graph Construction, assembles a living relationship graph that exposes the actors, tensions, and memory structure behind the scenario. Step 03, Parallel Simulation, lets platform-native agents interact across Twitter and Reddit style channels over multiple rounds. Step 04, Report Generation, condenses the trajectory into a readable prediction report with key turning points, risks, and confidence signals. Step 05, Deep Interaction, lets users interrogate the generated world through ReportAgent or by interviewing individual characters directly.
Users upload PDF, Markdown, or plain text seed material, up to 50MB total, then provide a simulation prompt describing how the uploaded material should evolve once agents begin reacting across public platforms, memory layers, and narrative pressure surfaces. The console opens the graph, simulation, report, and interaction chain from one place. MiroFish advertises support for 1M+ parallel agents per run and a dual-surface simulation across Twitter and Reddit style channels. In fixture mode the posts and actions are deterministic; in backend mode a Python service generates platform-native behavior.
Built-in scenarios and templates cover public opinion forecasting, launch reaction and misunderstanding risk, policy impact and downstream pressure analysis, brand crisis and crisis response gaps, finance cases with sentiment divergence, and literary continuation driven by a character pressure graph. Each report includes an executive summary, predicted developments, major risks, evidence lines, key actors, and a long-form narrative explanation of how the outcome unfolds. The site also offers a prompt recipe library, demo videos, system screenshots, and a forecast review checklist covering scenario framing, graph quality, assumptions, confidence, and rerun prompts. MiroFish is presented as an independent simulation product whose forecasts are exploratory outputs to be reviewed before operational, financial, or policy decisions.
