LLM Wiki Compiler drops Karpathy-inspired update

Compiling knowledge into structured wikis is a superior alternative to ephemeral RAG for long-term project memory.

• –Context costs drop significantly as agents read pre-synthesized entity pages rather than scanning entire raw datasets.
• –Automated linting prevents structural rot in large vaults, catching broken links and maintaining Map of Content (MOC) integrity.
• –Paragraph-level source attribution provides the transparency needed for rigorous research and direct verification of AI-generated insights.
• –MCP integration allows standard tools like Claude Desktop and Cursor to treat the wiki as a native, actionable knowledge provider.
• –Human-readable Markdown output ensures the AI's "internal" memory remains accessible and manually editable in tools like Obsidian.