llm-wiki

To build a persistent markdown knowledge base, ingest raw research sources into the agent, which synthesizes them into structured entity and concept pages with cross-referencing and provenance tracking. This avoids reconstructing knowledge from scratch on every query by compiling information once.

The best way to maintain an interlinked research wiki with provenance is using automated synthesis to create entity and concept pages that track original sources. Automated health checks flag contradictions and ensure knowledge consistency across your markdown files as research evolves.

Yes, you can use a markdown wiki as a RAG alternative by compiling information once into interlinked pages instead of querying raw sources repeatedly. This creates a compounding knowledge base that evolves with your research and flags contradictions for review.

Yes, you need terminal access for file system operations to manage this markdown knowledge base. Terminal access enables the agent to create directories, write interlinked markdown files, and run automated health checks for knowledge consistency.

When cross-referencing multiple sources, the knowledge base flags contradictions for your review using automated health checks. It maintains strict schema enforcement and provenance tracking on entity and concept pages to ensure knowledge consistency across the wiki.