hippocampus

To organize a persistent markdown knowledge base for AI, use a centralized storage convention that enforces strict directory rules. This prevents file clutter by ensuring all markdown documentation is systematically stored and easily discoverable.

The best way to manage binary assets in a knowledge base is using automated file organization with indexed structures. This routes non-markdown files like images and PDFs into specific folders, generating index files to facilitate efficient asset retrieval.

Yes, you can use tiered storage for project-specific and global documentation. This mechanism supports both cross-project and project-level storage tiers, allowing you to scope markdown files and binary assets appropriately across different contexts.

To prevent scattered markdown files in project directories, enforce a centralized storage convention. By mandating that all markdown documentation is saved within a designated knowledge base, you eliminate clutter and ensure consistent file organization.

Yes, this knowledge base convention supports automated file discovery. It facilitates the discovery, creation, and editing of documentation by maintaining a strict storage structure and using index files for binary asset management.