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You can store and retrieve project knowledge for AI agents by using the brv query command to recall saved information and the brv curate command to save new architectural rules and decisions as Markdown files locally.

The best way to curate architectural rules and design notes is using a knowledge management skill that persists project patterns locally in a .brv/context-tree as Markdown files, enabling fast recall and structured categorization for software projects.

Local Markdown knowledge management uses a configured LLM provider to process context, storing project patterns in a local .brv/context-tree directory so AI agents can recall prior decisions without external databases.

Yes, you can sync your local context-tree to the cloud for team collaboration because the knowledge management skill includes optional cloud sync functionality alongside its local Markdown storage for project patterns and decisions.

No, you do not need any external dependencies to use the brv query and curate commands because the skill operates with zero dependencies, relying solely on a configured LLM provider and local Markdown files.