666ghj/MiroFish

Health v2 · maintenance only

Adoption not part of the score

71572 stars · 11127 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MiroFish is a Python-based swarm intelligence prediction engine that builds high-fidelity parallel digital worlds populated by thousands of LLM-powered agents with memory and personalities. Users upload seed materials and describe prediction goals in natural language, and the engine simulates social evolution to produce detailed forecasts and an interactive digital world.

Use cases

• simulate how public opinion evolves after breaking news
• forecast financial market reactions to policy drafts
• rehearse policy decisions in a digital sandbox before rollout
• run multi-agent social simulations with thousands of LLM agents
• predict outcomes of events using swarm intelligence
• test public relations scenarios with agent-based modeling
• build an interactive digital world from a story or report

When to choose

• you need agent-based social or financial forecasting driven by LLMs
• you want to inject variables and observe emergent collective behavior in simulation
• you need a general-purpose prediction engine that accepts natural-language goals and seed documents

When to avoid

• you need deterministic, statistically validated forecasting rather than LLM-driven simulation
• you lack the compute budget for thousands of concurrent LLM agents
• you need a lightweight single-agent chatbot or simple automation tool

Facets

framework · maturity active

agent-framework machine-learning simulation llm-inference data-science artificial-intelligence large-language-models simulation data-science python cross-platform multi-agent-simulation swarm-intelligence prediction-engine social-simulation financial-forecasting knowledge-graph agent-memory digital-twin llm-agents ai-agents docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="666ghj/MiroFish")