MiroShark/MiroShark

Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine

What it solves

MiroShark allows users to simulate complex social and market dynamics by creating a "world" populated by hundreds of grounded AI agents. It solves the problem of predicting public reaction, market sentiment, or the outcome of specific scenarios (like PR crises, policy changes, or advertising campaigns) before they happen in the real world.

How it works

The system follows a five-phase pipeline: ontology generation, graph building, agent setup, simulation execution, and reporting. It creates a world graph and spawns over 100 grounded agents—based on real personas, demographics, and web enrichment—who interact across simulated platforms like X (Twitter), Reddit, and prediction markets. Users can interact with the simulation in real-time by chatting with agents, injecting "breaking news" via Director Mode, or forking the timeline to test counterfactual scenarios.

Who it’s for

It is designed for PR professionals, market analysts, policymakers, historians, and creative writers who need to test hypotheses or predict reactions to specific inputs within a simulated population.

Highlights

  • Grounded Personas: Agents are not simple roleplays but are built using five layers of context, including demographic seeds and semantic search.
  • Cross-Platform Dynamics: Simulates interactions across multiple platforms (X, Reddit, and markets) to model herd effects and information propagation.
  • Counterfactual Branching: Ability to fork a running simulation to see how different events would change the outcome.
  • Director Mode: Allows users to inject new events into a live simulation to observe immediate reactions.
  • ReAct Reporting: Uses a specialized agent to write a detailed recap of the simulation, citing actual posts and trades.

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