Get started
Start with
one small thing.
Open source for macOS and Linux. Build it from the public repository.
Start with the source.
The code is public under MIT. Build and install it locally today; a one-click download is not available yet.
You’ll also need to connect an AI service or configure a local model. External AI services may charge for use.
View the source ↗Pick up where you left off.
Open your desktop app, or run vak open app on the computer where Vakyartha is installed.
Build from source
Install Git, a stable Rust toolchain, Node.js/npm, and Python 3 first.
git clone https://github.com/nranjan2code/code.git
cd code
scripts/build.sh
Then choose your working folder and connect an AI service:
vak setup
vak doctor
Open in your browser
Start the server, then open the app from a second terminal:
vak serve
vak open app
The server starts on your own machine. Access from another device needs explicit server configuration.
What does it cost to use?
The software is open source under MIT. The AI service you connect may charge for usage; a local model runs on your own hardware. You can configure spending limits and review usage in your installation.
Which computers are supported?
macOS and Linux. Windows is not currently supported.
Update or remove Vakyartha
Use the built-in commands to inspect your installation, update it, or remove it:
vak self status
vak self update
vak self uninstall
Check the command’s help before removing any saved data.
Something isn’t working?
Run vak doctor to see what needs attention. It checks your installation and reports failed checks with context.
Manage a running server
The operations console on your running Vakyartha server contains technical settings and diagnostics. It requires the server’s access permissions.