Your AI workforce,
running on your machine.
Install raze-cli, launch RAZE locally, connect your own providers or models, and manage everything from a local dashboard.
Up and running in minutes
From install to a working local dashboard in three simple steps.
Install the CLI
Install raze-cli with one command using pipx or pip.
Run onboarding
Run raze onboard and RAZE prepares the managed local runtime for you.
Open the dashboard
Configure providers, models, employees, groups, and tasks from your local dashboard.
Everything you need, locally
Manage your AI workforce from one dashboard on your machine.
Local-first Runtime
Run RAZE locally with a managed runtime bundle designed to live on your machine.
Local Dashboard
Manage settings, providers, employees, groups, jobs, logs, and updates from one place.
AI Employees
Create and manage AI employees configured for different roles and responsibilities.
Provider & Model Profiles
Connect API providers or local models and reuse saved profiles for different workflows.
Jobs & Scheduling
Create jobs, schedule tasks, review run information, and manage workflow execution.
User-Owned Config
Keep control of your providers, models, settings, runtime state, and local data.
Install in seconds
One command to install, one command to launch.
Two update paths, both simple
CLI updates and runtime/dashboard updates are separate — by design.
CLI Updates
Update the command-line tool through PyPI.
Runtime Updates
Update the dashboard and runtime through RAZE.
Your machine, your control
RAZE is local-first. Your runtime, dashboard, configuration, and data live on your machine. You choose what providers to connect and what to run.
Common questions
Install raze-cli with pipx install raze-cli, then run raze onboard. That's it.
Not for normal setup. Some advanced Docker-backed employee workflows may require it, but the main dashboard and local workflow work without Docker.
RAZE is local-first. Your runtime, dashboard state, and configuration live on your machine. If you connect third-party providers, requests you send to those providers are subject to those providers' terms.
The managed runtime bundle updates the dashboard and runtime. The CLI and dashboard are on separate update channels.