MiroFish: AI Swarm Intelligence Prediction Engine

Research Context and Background

MiroFish is a powerful tool designed to help teams solve complex problems by simulating a living society of thousands of independent AI agents. Unlike standard chatbots that give a single answer, MiroFish creates a digital world where different AI personas interact, debate, and form opinions. This process produces structured reports that show how a group might react to news, policies, or market changes. The tool is built by the Shanda Group and is available as both a cloud service and open-source software for self-hosting.

Benefits

MiroFish offers several key advantages for teams that need deep insights before making big decisions.

• Emergent Collective Behavior:By using thousands of agents with unique personalities and memories, the system creates realistic social dynamics that single models cannot replicate. This allows for more accurate predictions of how real people might react.
• Natural Language Interface:Users do not need to know complex coding or data formats. They can simply describe their scenario in plain English, and the tool handles the setup, simulation, and report generation automatically.
• Real-Time Intervention:Users can change variables mid-simulation. For example, they can introduce a new policy or a shocking event and see how the digital society recalibrates instantly without starting over.
• Deep Agent Interaction:After a simulation runs, users can interview specific agents. They can ask a "skeptic" faction why they oppose a plan or query the main report agent for detailed statistics.
• High-Fidelity Knowledge Graphs:The system automatically builds a map of relationships from uploaded documents. This powers the agents' memory and ensures their reasoning is based on solid evidence.

Use Cases

MiroFish is designed for scenarios involving human social dynamics and complex forecasting.

• Public Opinion and Crisis Management:Companies can simulate how a brand crisis or a new policy announcement will spread. The tool identifies narrative leaders and opposition clusters to help manage reputation.
• Financial Scenario Forecasting:Analysts can model how investors might react to earnings reports or regulatory changes. It helps forecast price movements driven by public sentiment rather than just raw numbers.
• Policy Impact Testing:Governments and organizations can test draft policies at zero risk. They can see which demographic groups champion or resist a plan and how debates might evolve before implementation.
• Creative Narrative Exploration:Writers and researchers can explore "what if" story branches. The tool can even help complete lost endings of classic novels by simulating fictional societal evolution.

Pricing

MiroFish offers three main pricing tiers to suit different needs.

• Starter Plan:Priced at $9 per month, this plan is best for individuals. It includes five analyses per month, support for up to 50 agents per simulation, and basic text file uploads.
• Pro Plan:Priced at $14.50 per month or $174 per year, this is the most popular option for analysts and product teams. It offers fifteen analyses per month, up to 500 agents per simulation, full API access, and the ability to inject variables mid-simulation.
• Enterprise Plan:Priced at $59 per month, this tier is for organizations needing unlimited scale. It includes unlimited simulations, white-label deployment, on-premise options, custom LLM integration, and a dedicated success engineer.

Vibes

While specific customer testimonials are not detailed in the available information, the tool has gained attention for its unique approach to AI. It is described as a significant step forward from traditional analytics because it moves beyond statistical proxies to organic agent emergence. The open-source nature of the project under the AGPL-3.0 license has also generated interest among developers who want to self-host the solution for complete control and privacy.

Additional Information

MiroFish is part of a growing ecosystem of agent-first tools developed by the same team. This ecosystem includes OpenClaw for easy production deployment, Hermes Agent for persistent workflows, and Multica for orchestrating complex tasks. The software is fully open source under the AGPL-3.0 license, allowing users to deploy it on their own servers using Node.js, Python, or Docker Compose. It supports various large language models including GPT-4, Qwen, and Claude through standard API formats.