OpDoc AI Auto Organizer

Automatically organize your Obsidian vault with AI. OpDoc watches your inbox folder, analyzes new markdown files using AI (Ollama or OpenAI), assigns tags via frontmatter, and moves them to the right folder.

How It Works

1. Drop a .md file into your Inbox folder
2. OpDoc reads the content and sends it to your configured AI provider
3. AI determines the best target folder and relevant tags
4. OpDoc writes tags into frontmatter and moves the file
5. Every action is logged to OpDoc-Log.md

Features

• Dual AI backend — Ollama (local, free) or OpenAI (cloud, API key required)
• Embedding-based folder matching — uses vector similarity to match new files against existing folder content
• 6-step onboarding wizard — guided setup on first launch
• Automatic + manual processing — processes on file creation, periodic scan every 5 minutes, and a manual command
• Tag injection via frontmatter — uses processFrontMatter API, no regex hacks
• Retry with backoff — up to 3 retries with exponential backoff on failure
• Catch-up on startup — processes any files left in inbox after restart
• Activity log — OpDoc-Log.md table with original path, target path, status, tags, processing time, errors
• Error classification — Korean user-facing error messages for common failures (Ollama down, invalid API key, rate limit, network errors)
• File collision resolution — appends _1 through _100, then timestamp fallback

Setup

Requirements

• Obsidian v1.5.0+
• For local AI: Ollama running locally (e.g., llama3.2 for analysis, nomic-embed-text for embeddings)
• For cloud AI: OpenAI API key

Install

1. Copy main.js, styles.css, manifest.json into your vault's .obsidian/plugins/opdoc-ai-auto-organizer/ directory
2. Enable the plugin in Obsidian Settings → Community Plugins
3. The onboarding wizard will launch automatically on first activation

Ollama Setup

# Install Ollama (https://ollama.ai)
ollama pull llama3.2
ollama pull nomic-embed-text
ollama serve

OpDoc will auto-detect Ollama at http://localhost:11434 during onboarding.

Commands

Settings

Privacy

OpDoc never sends data to any third-party server. All processing goes directly from your Obsidian client to your configured AI provider (local Ollama or your own OpenAI API key). No telemetry, no analytics, no phone-home.

Development

npm install
npm run dev        # watch mode
npm run build      # production build
npm run lint       # ESLint check

Releasing

• Update manifest.json with the new version number and minimum Obsidian version
• Update versions.json with "new-version": "minimum-obsidian-version" so older Obsidian builds can download a compatible version
• Create a GitHub release using the version number as the tag (no v prefix)
• Upload manifest.json, main.js, styles.css as release assets

Run npm version patch|minor|major after updating minAppVersion in manifest.json to bump version across all files.

Submitting to the Community Plugin List

• Review the plugin guidelines
• Publish an initial release with README.md in the repo root
• Open a pull request at obsidianmd/obsidian-releases adding your plugin to community-plugins.json:

{
    "id": "opdoc-ai-auto-organizer",
    "name": "OpDoc AI Auto Organizer",
    "author": "hey_yoon",
    "description": "Auto-organize markdown files using AI analysis. Tags and moves files from inbox to appropriate folders.",
    "repo": "<your-github-username>/OpDoc-AI-Auto-Organizer"
}

• Once admitted, announce in the Obsidian forum showcase and the #updates channel on Discord (requires developer role)