AboutAbout MiroShark
MiroShark is a universal swarm-intelligence engine. You bring a scenario; it builds the world around it and lets hundreds of grounded AI agents live it forward - posting, arguing, trading, and changing their minds - so you can see how the world might react before it does.
What it is
Most tools tell you what one model thinks. MiroShark shows you what a crowd does. Describe a situation and it spawns a population of distinct agents, each grounded in real context, and runs them over simulated time. The output is emergent behavior - narratives that form, markets that move, minds that change - not a single answer.
Use it to explore counterfactuals and “what-if” questions: how a market, community, or public might react to an announcement, a policy, a product, or an event - and to red-team a message before you send it.
How it works
- 1
Ingest
You drop in a document or a scenario - a press release, a headline, a policy draft, an unanswerable question, a historical what-if.
- 2
Build the world
MiroShark extracts entities into a knowledge graph (Neo4j) and grounds hundreds of agent personas in it, so each one has a point of view rooted in real context.
- 3
Run the loop
Agents act hour by hour across three surfaces - a Twitter-like feed, a Reddit-like forum, and a prediction market - reacting to each other and to news you inject mid-run.
- 4
Report
You get a report of what happened, citing the actual posts and trades - not a summary invented after the fact.
Agents are grounded in a Neo4j knowledge graph and driven by open models via OpenRouter. Read the full architecture in the docs.
How pricing works
MiroShark is pay-per-run. A simulation costs about $1, settled at run time through the x402 payment protocol on Base. There is no subscription and no account tier - you pay for the runs you make.
Who builds it
MiroShark is developed in the open on GitHub. Questions or press? See the contact page.
MiroShark