MiroFish

MiroFish is a next-generation AI prediction engine that harnesses multi-agent swarm intelligence to simulate and forecast real-world outcomes. Developed with backing from Shanda Group and built on the OASIS (Open Agent Social Interaction Simulations) framework from CAMEL-AI, MiroFish constructs high-fidelity parallel digital worlds populated by thousands of AI agents. Each agent possesses independent personality traits, long-term memory, and behavioral logic, enabling realistic social evolution and interaction patterns that mirror how events unfold in the real world.

Common Use Cases

Public relations and marketing teams use MiroFish to simulate how breaking news, product launches, or PR crises will propagate across social media, allowing them to test messaging strategies before going public. Financial analysts model market reactions to economic signals, policy changes, and corporate announcements by observing how simulated agent populations respond to injected variables. Government and policy teams conduct zero-risk rehearsals of new regulations and public policy drafts, predicting citizen response patterns and identifying potential backlash scenarios. Research teams and creative professionals explore hypothetical scenarios, from deducing fictional story outcomes to modeling the societal impact of emerging technologies.

Key Features

• Multi-agent swarm simulation: Thousands of AI agents with unique personalities and memory interact in a parallel digital world
• Social platform modeling: Simulates Twitter-like and Reddit-like environments with posting, commenting, following, and reposting behaviors
• God's-eye view controls: Inject variables and observe how simulated societies respond to events in real time
• Seed information processing: Feed breaking news, financial signals, policy drafts, or creative scenarios as simulation inputs
• Long-term agent memory: Powered by Zep Cloud knowledge graphs for persistent agent context and behavioral continuity
• OpenAI-compatible LLM backend: Works with OpenAI, or any OpenAI API-compatible provider for flexible model selection
• Automated report generation: AI-powered analysis reports summarizing simulation outcomes and predictions
• Visual simulation interface: Web-based UI for configuring, running, and monitoring simulations with interactive controls

Why deploy MiroFish on Hostinger VPS

Running MiroFish on Hostinger VPS gives you dedicated compute resources for running large-scale agent simulations without sharing infrastructure or hitting cloud platform limits. Multi-agent simulations are resource-intensive, and a VPS provides the consistent CPU and memory performance needed for thousands of concurrent agent interactions. Your simulation data, seed information, and prediction results stay entirely within your own infrastructure, which is critical when working with sensitive business intelligence, financial signals, or pre-release policy analysis. The VPS deployment also gives you full control over LLM provider configuration, allowing you to optimize costs by choosing different models or providers based on simulation complexity and budget requirements.