MiroFish work

What is MiroFish work

MiroFish is an AI prediction platform that uses knowledge graphs, multi-agent simulation, and structured reports to help users explore scenarios and predict outcomes. It is designed for questions about what happens next, particularly those involving people, incentives, and uncertainty. The platform turns source material into a world model, runs simulated agents, and returns an inspectable prediction report.

How to use MiroFish work

1. Frame the prediction question: Start with a natural language question about a scenario, such as a product launch, policy debate, or market shift.
2. Add source material: Upload text, PDF, Markdown, TXT, or decision notes to provide context and ground the simulation.
3. Graph Building: MiroFish extracts seed facts and builds a GraphRAG knowledge graph from the source material.
4. Environment Setup: The system creates relationships, agent personas, and simulation settings.
5. Multi-agent Simulation: Independent AI agents interact in a simulated social environment, with temporal memory updates.
6. Report Generation: The post-simulation state is turned into a structured prediction report with narrative analysis, group dynamics, probabilities, timeline notes, and follow-up paths.
7. Deep Interaction: After simulation, users can chat with simulated agents or the ReportAgent to inspect motives and evidence.

Features of MiroFish work

• MiroFish Swarm Intelligence: Independent AI agents interact in a simulated social environment, revealing dynamics a single model can miss.
• MiroFish GraphRAG: Extracts entity relationships from source material into a graph that anchors agent memory and reasoning.
• Natural Language Interface: Describe scenarios in plain language; MiroFish handles setup, simulation, and reports in one conversation.
• Structured Prediction Reports: Each run produces narrative analysis, group dynamics, probabilities, timeline notes, and follow-up paths.
• God's-Eye Variable Injection: Inject policy changes, market shocks, or new assumptions and watch the simulated world recalibrate.
• Deep Agent Interaction: Interview agents or query the ReportAgent to inspect motives and evidence.
• Open Source & Self-Hostable: AGPL-3.0 licensed with Docker support.

Use Cases of MiroFish work

• Public Opinion & Crisis Management: Simulate how news, crises, or announcements spread and where sentiment may shift.
• Financial Scenario Forecasting: Model sentiment after earnings, regulation, or macro signals.
• Policy Impact Testing: Test policy drafts and compare which groups may support, resist, or reshape debate.
• Creative Narrative Exploration: Explore story branches or fictional societies driven by character behavior.
• Sports Event Prediction: Predict outcomes of sports events.
• Trend Forecasting: Forecast trends based on social and market signals.
• Scenario Planning: Prepare actors, signals, and branches for strategic planning.
• Market Narrative Research: Analyze how narratives spread and influence markets.
• Policy and Campaign Rehearsal: Rehearse policy campaigns and public responses.
• Story-world and Character Simulation: Simulate interactions in fictional worlds.

Pricing

MiroFish offers a free trial and three paid plans:

• Free Trial: Guests get 1 one-time simulation; signed-in accounts get 2. No card required. The Free plan adds 3 additional simulations over 7 days (card required). After trial, renews at $9/month unless canceled.
• Starter: $4.50/month (billed yearly at $54). Includes all available AI models, 10 analyses per month, up to 50 agents per simulation, and basic reports.
• Pro: $14.50/month (billed yearly at $174). Includes all available AI models, 50 analyses per month, up to 100 agents per simulation, 5 MB knowledge base (1 MB per file), custom materials, and priority processing.
• Enterprise: $29.50/month (billed yearly at $354). Includes all available AI models, 320 analyses per month, up to 200 agents per simulation, 20 MB knowledge base (1 MB per file), and enterprise support.

Yearly billing saves 50% compared to monthly.

FAQ

What is MiroFish? MiroFish AI is an AI prediction engine for multi-agent scenario simulation. It turns source material into a world model, runs simulated agents, and returns an inspectable report.

Is Miro Fish the same as MiroFish? If you're looking for this AI simulation tool, its name is MiroFish, written as one word. MiroFish AI helps you explore scenarios through multi-agent simulation.

Is this the official MiroFish homepage? Yes. This is the official MiroFish AI homepage for the product, console, pricing, resources, and open-source reference.

Is MiroFish just a chatbot? No. Chat controls source extraction, graph construction, personas, multi-agent interaction, reports, and follow-up analysis.

How does MiroFish simulate predictions? MiroFish AI follows five steps: Graph Building, Environment Setup, Multi-agent Simulation, Report Generation, and Deep Interaction.

Can MiroFish predict anything? MiroFish AI can help predict anything that can be framed as a scenario with actors, incentives, source material, and uncertainty.

How long does a simulation take to run? Smaller runs usually complete in minutes; larger simulations take longer.

Can I self-host MiroFish? Yes. MiroFish AI is AGPL-3.0 open source, with source and Docker options.

Is MiroFish suitable for enterprise use? Yes. Enterprise teams can use MiroFish for analysis, private deployment, integration, and support.