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A simple and universal swarm intelligence engine

Upload Any Report. Simulate The Future Instantly.

MiroFish transforms 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.

From public opinion forecasting to literary continuation, it lets you inject variables, run social evolution, and inspect the likely trajectory before the real world catches up.

Watch Demo
1M+
Parallel agents per run
Twitter + Reddit
Simulation surfaces
Prediction report
Primary output
Hero Surface
MiroFish
v0.1 preview
MiroFish visual
Workflow Sequence
Step 01

Ontology Generation

Turn raw reports, notes, or fiction into structured entities, motives, and factual anchors.

Step 02

Graph Construction

Assemble a living relationship graph that exposes the actors, tensions, and memory structure behind the scenario.

Step 03

Parallel Simulation

Let platform-native agents interact across Twitter and Reddit style channels over multiple rounds.

Step 04

Report Generation

Condense the trajectory into a readable prediction report with key turning points, risks, and confidence signals.

Step 05

Deep Interaction

Interrogate the generated world through ReportAgent or by interviewing individual characters directly.

System Status

Engine Standing By

Upload narrative seeds, analytical reports, policy drafts, or story fragments. The graph, simulation, report, and interaction chain will be opened from one console.

Sequence
01
Ontology Generation
Turn raw reports, notes, or fiction into structured entities, motives, and factual anchors.
02
Graph Construction
Assemble a living relationship graph that exposes the actors, tensions, and memory structure behind the scenario.
03
Parallel Simulation
Let platform-native agents interact across Twitter and Reddit style channels over multiple rounds.
04
Report Generation
Condense the trajectory into a readable prediction report with key turning points, risks, and confidence signals.
05
Deep Interaction
Interrogate the generated world through ReportAgent or by interviewing individual characters directly.
Engine Console
Seed the simulation
PDF / MD / TXT
01 / Reality Seeds
02 / Simulation Prompt
History Database

Simulation history

Forecast Explorer

See the output surface before you upload anything

The graph, simulation, and report views reveal what MiroFish actually produces, so the first visit becomes an inspection session instead of a blank decision.

Operator Readout

Read the likely trajectory as an executive summary.

The report compresses the path into a concise readout of risks, key actors, and the evidence line behind the forecast.

Dominant risk: sustained trust erosion from delayed response
Key actor: narrative drivers outrun formal clarification
Confidence weakens if new evidence changes the motive structure
Read Why It Works
Prompt Recipe Library

Public Opinion Forecast

Best for incidents, controversies, and reputation-sensitive policy events.

Forecast how the uploaded incident evolves across public platforms, who amplifies it first, and what response slows trust erosion over three rounds.

Launch Stress Test

Best for product launches, open betas, and brand announcements.

Simulate how customers, competitors, and commentators react to this launch brief, and identify the most expensive misunderstanding if left unanswered.

Policy Reaction

Best for regulation, governance changes, and public institution messaging.

Simulate how institutions, affected groups, and public commentators interpret this policy draft, and identify the largest downstream pressure.

Narrative Continuation

Best for fiction, scenario writing, and character-driven world simulation.

Simulate how this narrative world evolves after the new event, which characters gain influence first, and what tension changes the final outcome.
Field Notes
Trust & Research

Stay longer where the judgment still matters

What MiroFish Simulates

Actor incentives and motive conflict
Narrative spread across platform-style surfaces
How one reaction changes the next round

What Stays Human

Choosing the scenario boundary
Judging whether the graph is missing pressure
Making high-stakes operating calls

Research Context

Generative agents and social simulation research
Scenario planning framed as reviewable evidence
Forecasts treated as inspectable hypotheses, not certainty
FAQ

Questions before you simulate

What can I upload into MiroFish?

The current product shell accepts PDF, Markdown, and plain text. The workflow assumes the file contains enough narrative, analytical, or factual seed material to build a graph and simulation context.

Does this really simulate multiple platforms?

The product flow is designed around a dual-surface simulation. In fixture mode the posts and actions are deterministic; in backend mode the Python service is responsible for generating platform-native behavior.

Can I use it for public opinion and fiction?

Yes. The built-in scenarios cover public opinion events, literary continuation, market or finance cases, and a general-purpose predictive mode.

What does the report include?

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.