llm-wiki

To build a persistent knowledge base from markdown research notes, the agent ingests raw sources and synthesizes them into structured, interlinked entity and concept pages. This automatically cross-references new information with existing notes to retain insights over time.

The best way to maintain an interlinked wiki is using agent-led maintenance, which performs automated linting, health checks, and log rotation. This ensures the knowledge base remains accurate, navigable, and compounding without losing research insights.

Yes, you can use this agent-maintained knowledge base as a RAG alternative. It synthesizes raw sources into structured wiki pages and cross-references existing notes to prevent fragmented, ephemeral AI interactions and reduce redundant research.

To ingest research articles into a markdown wiki to flag source contradictions, ask the agent to initialize a new wiki in your directory and provide the raw articles. The agent synthesizes findings, updates entity pages, and flags any contradictions between sources.

Yes, you need a local directory structure with schema-defined conventions. The agent requires this setup to manage interlinked markdown files, maintain index files, and execute log rotation for long-term information retention.

An agent-managed knowledge base requires log rotation and health checks to ensure long-term information retention and navigability. These automated maintenance tasks prevent the wiki from degrading or losing accuracy as it compounds over time.