Documentation
Everything you need to install NeuraFrame Studio™, activate a license, run it against your local model, and keep it healthy.
What NeuraFrame Studio™ is
NeuraFrame Studio™ is a local AI operating frame. It sits around your existing models and workflows and preserves verified work, corrections, context, and route state, so familiar work can be reused, uncertain work reviewed, and only novel work sent to the model. It runs entirely on your device; your prompts and documents never leave it.
Quickstart
Extract the package for your architecture, run the installer, start the trial, and check status.
# ARM64 shown; use the x86_64 package on x86 systems
tar -xzf neuraframe-studio-arm64.tar.gz
cd neuraframe-studio
sudo bash install.sh
neuraframe trial start
neuraframe status
The installer runs a compatibility preflight, deploys the runtime, registers a background service, and prints how to control it. The public command is neuraframe (with nfctl kept as an alias).
neuraframe demo), you need your own local model server running and connected first: a completion server, plus an embedding server for semantic reuse. See Using NeuraFrame™.Where to go next
- Installation covers ARM64 and x86_64 setup and system requirements.
- Fleet deployment installs and licenses many machines at once with seat pools and one enrollment token.
- Licensing & trial explains the 7-day trial, activation, plans, cancellation, offline licensing, and pass-through mode.
- Using NeuraFrame™ shows how to connect a model, view reuse and energy savings, and teach corrections.
- CLI reference documents every
neuraframecommand. - Troubleshooting lists common issues and fixes.