llm-wiki

To create an interlinked Markdown wiki, you ingest raw research sources into a layered architecture that builds wiki pages with YAML frontmatter, enforces 2+ outbound links per page, and applies a SCHEMA-driven taxonomy for persistent cross-referencing across sessions.

A cross-referenced knowledge base is a persistent Markdown wiki where pages use YAML frontmatter and wikilinks to interconnect research notes. It works by enforcing a SCHEMA-driven taxonomy for tagging and maintaining 2+ outbound links per page to reduce duplication.

You organize and query a Markdown knowledge base across sessions by applying a layered architecture with raw sources, wiki pages, and a schema layer. This structure maintains persistent frontmatter metadata and cross-references for querying your research knowledge.

Yes, you can use your own taxonomy for tagging wiki pages. The system enforces a SCHEMA-driven taxonomy that you define, which manages tagging conventions and allows optional layers for raw sources, entities, and queries.

Yes, this wiki structure supports incremental ingestion of new research sources. You can continuously ingest new information to evolve the knowledge base, while the interlinked Markdown pages and frontmatter metadata maintain provenance and structure.

A limitation of maintaining this Markdown wiki is the strict structural enforcement: every page requires YAML frontmatter and at least 2 outbound wikilinks. Pages failing to meet these cross-referencing constraints will fail the knowledge base structure audit.