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MiroFish

An open-source AI prediction engine using multi-agent swarm intelligence to build high-fidelity parallel digital worlds for simulating real-world outcomes.

Decision information

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Ecosystem category
Infrastructure
Content type
Product
Pricing
Open Source
Open source
Yes
License
Not recorded
Maintenance
Unknown
Install methods
Source
Platforms
Not recorded

Security signals (informational, not a security certification)

Source available

Overview

MiroFish is an open-source, next-generation AI prediction engine based on multi-agent swarm intelligence. By extracting "seed information" from the real world—such as breaking news, policy drafts, or financial signals—it automatically constructs a high-fidelity parallel digital world. Within this sandbox, thousands of AI agents interact, debate, and evolve, allowing users to accurately deduce future trends.

Core Features

  • Swarm Intelligence Simulation: Hosts thousands of AI agents, each equipped with an independent personality, long-term memory, and unique behavioral logic.
  • Dynamic Variable Injection: Allows users to act from a "God perspective," dynamically introducing variables (like a PR statement or policy change) to observe chain reactions in real-time.
  • Knowledge Graph Construction: Utilizes GraphRAG technology to deeply analyze uploaded materials, building dynamic knowledge graphs that inject initial memories and context into the agents.
  • Comprehensive Reporting: Automatically generates detailed prediction reports while offering users a highly interactive digital world to explore and interrogate.
  • OASIS Engine Integration: Built upon the high-performance social media simulation framework developed by the CAMEL-AI team.

Use Cases

  • Enterprise & Policy Makers: Serves as a risk-free rehearsal laboratory to test public relations strategies, policy shifts, and market responses before real-world implementation.
  • Individual Creators: Acts as a creative sandbox for writers, researchers, and thinkers to simulate story endings, brainstorm ideas, and explore complex "what-if" scenarios.

Background

MiroFish was developed by Gen-Z developer Guo Hangjiang (BaiFu) utilizing the "Vibe Coding" methodology—a highly AI-assisted development approach. Following the massive success of its predecessor, BettaFish, MiroFish quickly reached the #1 spot on the GitHub global trending list in early 2026. The project's immense potential earned it a 30 million RMB strategic investment from Shanda Group founder Chen Tianqiao to further its vision of creating a mapping of real-world swarm intelligence.

Tags

aimulti-agentswarm-intelligencesimulationprediction-engineopen-source