What problem does it solve?
Obsidian vault users waste time manually locating backlinks, tag usages, and broken wiki links, and they struggle to search efficiently without blowing up token usage.
Core Features & Use Cases
- LSP-first vault search: Uses markdown-oxide LSP to resolve wikilinks, backlinks, tag references, and headings/structure via symbols and diagnostics.
- Fast fallback searching: Uses ripgrep and fd to find wikilink references, tag occurrences, and candidate note files when LSP is unavailable.
- Vault-aware token optimization: Enforces scope limits (e.g., only a small number of files), ignores heavy/irrelevant folders (archive, .obsidian, attachments), and recommends compacting repeated work.
- Best-fit workflows: Automatically supports tasks around zettelkasten organization, hierarchical tags, MOC usage, link hygiene, and note creation templates.
Quick Start
Ask an AI to find all notes that reference a given wiki link target in your Obsidian vault and report the results using the most efficient method available (markdown-oxide LSP first, ripgrep fallback).