Aurora

What it does

Aurora is glass-box quantitative AI that runs locally. Drop in a dataset and 24+ research-grade methods do the real math — anomalies, causality, regimes, forecasts — then every finding is cited to the method and source behind it. A live "0 fabricated" chip guarantees no invented numbers. Cloud LLMs guess; Aurora computes. Includes an MCP server + Python SDK so AI agents can call it for verified math. 100% local, no cloud, no API keys. Open source, Apache 2.0.

Glass-box quantitative AI that runs locally. Verification cortex for AI agents (MCP, SDK, Decision Contracts) and copilot for humans. Apache 2.0, every claim cited.

Drop in a dataset. Aurora runs 24+ research-grade methods on your own machine — then cites every number it gives you. No cloud. No hallucinations. The glass-box verification layer for work that can't afford to be wrong. Drop a CSV, get cited findings, know the decision — all on your machine. This is a browser replay of the real desktop app running a real analysis. Poke it. One-click desktop app — installs in seconds, then runs 100% offline . No cloud, no account, no API keys. git clone https://github.com/FantasyLab-ai/aurora.git cd aurora python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt # Optional substrate-layer extras pip…from fantasystudio.fantasy-labai.workers.dev

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