llm-wiki

To build a persistent markdown knowledge base, you need a system that ingests sources, manages entity relationships, and cross-references notes automatically. This ensures information synthesis and structural consistency across your research workflows without losing context over time.

An interlinked research notes system maintains a persistent markdown wiki that compounds knowledge over time. Unlike standard RAG systems that rediscover information from scratch, this approach automatically summarizes and flags contradictions to actively manage wiki structure and data integrity.

Yes, you can use Obsidian to manage a self-organizing knowledge base. The system requires file system access for markdown management and integrates with local or cloud-based editors like Obsidian to handle ingesting sources and maintaining entity relationships.

To initialize a domain-specific schema for a new markdown wiki, you ask the agent to set up the wiki in your home directory. The agent then guides you through the setup process to structure your specific research and documentation workflows.

Yes, an agentic knowledge base actively flags contradictions across markdown documentation. The agent performs health checks and manages the wiki structure to ensure data integrity and consistency across all ingested sources and interlinked notes.