MiroShark — симуляция реакции аудитории

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MiroShark is an agent-based simulation engine — "simulate anything for about $1 in under 10 minutes": from a document or a plain question it spawns hundreds of grounded agents that post, argue, and trade hour-by-hour across modeled Twitter, Reddit, and a prediction market, then writes a report citing what actually happened. Reach for it to preview how a post, campaign, product launch, or piece of news might land, to model audience behavior and market sentiment, or to test a hypothesis before shipping anything real. Its pipeline runs five phases — graph build, agent setup, simulation, report, interaction — on a Python/Flask backend with Neo4j graph memory, a separate web UI, a bundled camel-ai-fork engine, and Polymarket integration, plus a CLI and an MCP server. It forecasts through multi-agent simulation rather than scheduling posts or gathering real analytics: its conclusions are model-based and should be validated in practice.