save-session

You can save your AI coding session state by running the save-session command, which records the current topic, progress, and blockers while updating memory files to ensure your coding progress is not lost.

Yes, session state saving integrates directly with Git, automatically updating memory files with project context and committing changes to a GitHub repository to persist coding preferences and progress.

Memory persistence captures the current topic, progress, next steps, open questions, and blockers from your AI coding workflow, updating memory files with reminders and project context for continuous development.

Yes, you can resume an AI coding session from the last saved point because the session state preservation feature commits progress to a GitHub repository, ensuring continuity when you return to the coding workflow.

Yes, a GitHub repository is required because the session state saving mechanism commits changes directly to Git, keeping the remote diary and memory files updated for reliable memory persistence.

The best way to maintain memory persistence across multiple AI coding sessions is to use save-session, which updates memory files with project context and preferences and commits them to a GitHub repository.