{"repo":"dhha22/wikimap","free":true,"listed":false,"github":"https://github.com/dhha22/wikimap","clone":"git clone https://github.com/dhha22/wikimap.git","description":"Zero-LLM incremental index + lazy semantic layer for knowledge vaults (markdown, HTML, PDF, images). One file, no dependencies, sub-second updates.","language":"Python","stars":12,"topics":["ai-agents","claude-code","indexing","knowledge-base","obsidian","python","search","wiki","zero-dependency"],"license":"MIT","category":"ai-agents","readme_excerpt":"wikimap English 한국어 Zero-LLM incremental index + lazy semantic layer for knowledge vaults — markdown, HTML, PDF, and images. One Python file. Zero dependencies. Zero LLM cost at build time — always. Sub-second updates, no matter how stale your index is. Built for AI coding assistants (Claude Code and friends) working against a knowledge vault: an Obsidian vault, a team wiki, a folder of specs, slides, and plans. Why not a knowledge-graph tool or RAG? What's graphify? A tool that runs your documents through an LLM to extract concepts and the relationships between them, building a knowledge graph. It's the comparison point throughout this README. Knowledge-graph tools like graphify, and RAG, both do their thinking up front : send the whole corpus through an LLM, get a graph or a vector store back. That works — but you pay for it again on every update. Change one doc, pay to re-extract. Ignore your vault for a week, and the \"incremental\" update quietly re-processes half of it. wikimap flips this: parse the structure now, learn the meaning later. - Structure is free — titles, headings, links, requirement IDs. Plain parsing, no LLM, no API key, no embeddings to maintain. - Meaning is earned when you ask. When your agent works out an answer, it saves that answer. When it confirms two docs are related, it saves the link. Nothing is precomputed on the off-chance you'll need it. The trick that makes this safe: everything saved is stamped with the source file's content hash. Edit the f","default_branch":null,"files":null,"tree":[],"storefront":"/r/dhha22","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dhha22/wikimap/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}