Official MiroFish AI workspace for scenario prediction
MiroFish AI:
run multi-agent
prediction simulations.
Turn seed documents, market signals, policy drafts, or plain scenario prompts into seed → simulation → report workflows. MiroFish creates agent personas, runs social dynamics forward, and returns structured prediction reports you can inspect and discuss.
Example: If a product raises its price next quarter, how will customer sentiment and narrative spread change?
Everything you need to
simulate the future
MiroFish combines swarm intelligence, knowledge graphs, and multi-agent LLMs into a unified prediction platform accessible through natural language.
Multi-Agent Swarm Intelligence
Thousands of independent AI agents with unique personalities, long-term memory, and behavioral logic freely interact in a simulated social environment — producing emergent collective behavior impossible with single-model approaches.
GraphRAG Knowledge Graphs
Automatically extract entity relationships from seed documents and construct a high-fidelity knowledge graph. GraphRAG powers agent memory, enabling coherent reasoning across thousands of simulated interactions.
Natural Language Interface
No complex UX. Describe your scenario in plain language —MiroFish handles seed extraction, simulation setup, and report generation automatically. The entire seed → simulation → report pipeline runs in one conversation.
Structured Prediction Reports
Every simulation produces a richly formatted report: narrative analysis, group dynamics, probability estimates, and timeline projections — with follow-up paths to drill deeper into any finding.
God's-Eye Variable Injection
Intervene dynamically mid-simulation — inject new variables, policy changes, or external shocks from a God's-eye view. Watch how the digital world recalibrates in real time without resetting the entire simulation.
Deep Agent Interaction
After simulation, interview any agent directly. Ask the "public" representative about their concerns, probe the "skeptic" faction for counterarguments, or query the ReportAgent for deeper statistical breakdowns.
From seed to simulation
in five steps
MiroFish's orchestration engine handles the full prediction pipeline automatically. You provide the question; the swarm finds the answer.
Predict what matters to you
From enterprise decision-making to creative exploration — MiroFish adapts to any prediction challenge that involves human social dynamics.
Public Opinion & Crisis Management
Simulate how news events, brand crises, or policy announcements spread through social groups. Identify narrative leaders, opposition clusters, and sentiment inflection points before they happen.
PR & CommunicationsFinancial Scenario Forecasting
Model market sentiment dynamics following earnings reports, regulatory changes, or macro signals. Simulate investor behavior clusters and forecast narrative-driven price movements.
Finance & InvestingPolicy Impact Testing
Test public policy drafts at zero risk. Simulate how diverse demographic groups respond — which factions champion the policy, which resist, and how the debate evolves over time.
Government & PolicyCreative Narrative Exploration
Explore "what if" story branches, deduce missing narrative endings, or simulate how fictional societies would evolve. Used to complete the lost ending of Dream of the Red Chamber.
Writers & CreatorsBeyond traditional forecasting
Most prediction tools give you statistical extrapolation. MiroFish gives you a living simulation.
| Capability | Traditional Analytics | MiroFish |
|---|---|---|
| Natural language input | ✗ Requires structured data | ✓ Full NL conversation |
| Agent personality modeling | ✗ Not supported | ✓ Thousands of unique agents |
| Emergent social dynamics | ~ Statistical proxies only | ✓ Organic agent emergence |
| Mid-simulation variable injection | ✗ Re-run required | ✓ Real-time intervention |
| Post-simulation agent interview | ✗ Not possible | ✓ Direct agent dialogue |
| GraphRAG knowledge graph | ~ Basic embeddings | ✓ Full entity–relationship graph |
| Open source & self-hostable | ✗ Mostly proprietary | ✓ AGPL-3.0 / Docker ready |
Choose your next step
Practical paths for understanding MiroFish, running your first simulation, evaluating self-hosted use, and browsing related reference resources.
Start lean, scale as you grow
Every plan includes access to the full MiroFish prediction engine. No simulation limits on self-hosted deployments.
Perfect for individuals exploring AI-driven scenario prediction for the first time.
$9 charged monthly for lightweight exploration.
- 100 simulations per month
- Up to 50 agents per simulation
- Basic prediction reports
- Text file seed uploads
- API access
- Variable injection mid-sim
- Priority processing
For analysts, researchers, and product teams running regular prediction workflows.
$174 charged yearly. Save 50% on every annual renewal.
- 500 simulations per month
- Up to 500 agents per simulation
- Advanced structured reports
- PDF, MD, TXT seed uploads
- Full REST API access
- Mid-simulation variable injection
- Custom deployment
For organizations needing unlimited scale, custom integrations, and dedicated support.
$59 charged monthly for high-scale teams.
- Unlimited simulations
- Unlimited agent count
- White-label deployment
- On-premise / private cloud
- Custom LLM model integration
- Dedicated success engineer
- SLA & compliance support
Common questions
MiroFish is not a single-model chatbot — it's a multi-agent simulation engine. Where ChatGPT generates a single AI response, MiroFish spawns thousands of independent AI agents representing different personas, lets them interact organically, and synthesizes the emergent collective behavior into a structured prediction report. You get a simulated society, not just a chatbot answer.
Rehearse the future.
Win every decision.
Join researchers, analysts, and strategists who use MiroFish to simulate outcomes before they commit. Pick a plan and continue on the MiroFish checkout page.
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