Wizard v1.0.0

Wizard v1.0.0 — first consumer release

Wizard is a local-first autonomous data analysis agent. Ask a real question about your data in plain language; it investigates — looking, computing, revising its approach when the data disagrees with it — then verifies the result and explains it, streaming its reasoning as it happens. Two small Ollama models are enough to run it, nothing is sent anywhere by default, and cloud providers are supported too, gated behind an explicit data mode.

Get started

Download the zip for your platform below, extract it, and run:

./cli/wizard init       # checks prerequisites, installs dependencies
./cli/wizard start      # launches everything, opens a browser

No git clone, no Go toolchain, no build step — the wizard binary and two sample datasets (workspace/dataset.csv, workspace/housing.csv) are already in the zip. Prefer containers? docker compose up --build -d works from the same extracted folder.

See the README for configuration, model choice and troubleshooting.

What's in this release

This is the first tagged release under the consumer versioning scheme (independent of the backend's own API_VERSION). It packages the current master — the manager/worker agent loop, the analytical control plane (evidence-backed validation, hypotheses, confidence scoring), the OS-native sandbox, and the wizard CLI — as installable per-platform zips rather than requiring a source checkout.

Known caveat

On macOS, xgboost and lightgbm need the OpenMP runtime, which macOS does not ship: brew install libomp if modelling code fails to import either. This is a long-standing requirement of those two libraries on macOS generally, not specific to Wizard.

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Full source, tests, CI and contributor docs live in this same repository — see CONTRIBUTING.md.