I built a custom Obsidian plugin that converts notes to blog-ready HTML in one click, handling frontmatter stripping, Obsidian-specific syntax, code blocks, callouts, and Mermaid diagrams, so I can paste directly into

Squarespace without manual tweaking.

- Developed a private AI stack that integrates with Obsidian vault for better information recall and organization.
- The AI stack runs locally on personal hardware, ensuring no data leaves the machine.
- Utilizes RAG to query the entire Obsidian vault and provides answers grounded in personal notes.
- Includes Claude Code integration for querying the vault mid-conversation without token burn.
- Offers private web search via SearXNG, enhancing access to live web results.
- Setup took a single Sunday but has improved workflow and knowledge base accessibility.

Core Thesis: A two-part system using frontmatter summaries and Context sections allows AI agents to efficiently navigate a knowledge vault without reading full notes.

Content Type: Tutorial · How-To

Primary Audience: Knowledge management enthusiasts using Obsidian with AI agents like Claude Code or ChatGPT

Key Takeaways:

- If you can't summarise a note in 2–3 sentences, it probably isn’t atomic enough — the system acts as a writing quality gate.

- An outdated summary is actively worse than no summary — it gives agents false ground truth.

- The Context section captures details that aren’t obvious from reading the note itself and helps both agents and future readers understand its purpose and implications.

Technical Dependencies: A CLAUDE.md or equivalent agent instruction file to guide the AI on using the two-part system

Bottom Line: Stop telling agents which notes to read — give them the protocol and let them self-navigate by checking summaries first.