BettaFish

Health v2 · maintenance only

Adoption not part of the score

42341 stars · 7609 forks observed · 2026-10-06

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

MiroFish is a Python‑based multi‑agent AI engine that creates a high‑fidelity digital twin of real‑world scenarios. It lets users inject seed data and query future outcomes through natural‑language prompts.

Use cases

• Predict market trends by feeding financial news and asking for future price movements
• Simulate public opinion shifts after a policy announcement
• Generate scenario analyses for strategic planning in business or government
• Run what‑if simulations for product launches using real‑time social media data
• Create knowledge‑graph‑driven forecasts for emerging technologies

When to choose

• You need a sandbox that can model complex social dynamics with many interacting agents
• Your workflow relies on LLMs for natural‑language interaction and you want built‑in memory for agents
• You prefer an open‑source solution that can be self‑hosted via Docker or directly in Python

When to avoid

• You require a lightweight, single‑agent prediction model with minimal resource consumption
• Your project is limited to static statistical forecasting without the need for agent‑based simulation
• You need a fully managed SaaS service with no infrastructure overhead

Facets

application · maturity active

agent-framework llm-inference rag data-science http-server cli artificial-intelligence large-language-models chatbots data-science python windows cli swarm-intelligence financial-forecasting public-opinion-analysis knowledge-graph multi-agent-simulation future-prediction retrieval-augmented-generation prediction docker linux macos web-server

Member repositories

For agents

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