trellis-bootstrap

To initialize persistent AI context memory, you run a one-time bootstrap process using the Trellis CLI. This setup creates the necessary project structure to enable automated development guidance and context retention across sessions.

The best way to set up an AI workflow system with persistent memory is through a guided onboarding process. It initializes project-wide automation, ensuring your AI assistant remembers standardized guidelines and automates repetitive tasks.

Yes, you need Node.js v18 or higher installed to bootstrap AI workflow initialization. The setup process requires Node.js to install the Trellis CLI globally before initializing the project structure.

To install and verify the Trellis CLI, run npm install -g @mindfoldhq/trellis@latest in your terminal. After installation, execute trellis init -u <your-name> in your project directory to finalize the verification sequence.

Yes, you can automate repetitive development tasks using a persistent context setup. After the one-time initialization, the system enables auto-injection of guidelines and memory across all future sessions.

Your AI assistant loses project context because it lacks a persistent memory structure. Running a one-time Trellis bootstrap initializes the necessary workflow system to retain guidelines and context across sessions.