Vision
Notes should outlive apps. Markdown is the durable layer. AI is the interface that finally makes a lifetime of notes usable. Markdown Locker is built on that bet.
The problem with notes software
Most note apps optimise for capture inside a walled garden. Your thinking gets locked to a proprietary format, a subscription, and a company’s roadmap. When the app changes — or disappears — the work is hard to extract. Search stays shallow. AI, when it arrives, is bolted on and still doesn’t know the full history of what you’ve written.
Meanwhile the volume of personal text keeps growing: meetings, links, voice memos, drafts, messages you meant to save. Without a structure that is both human-readable and machine-readable, that archive becomes a graveyard.
Why markdown wins in an AI world
Markdown is plain text with just enough structure. Humans can read it. Editors can open it. Scripts can parse it. Models can ingest it without a special exporter. That makes it the natural substrate for AI that actually understands your material — not a summary trapped in a silo.
In a world of large language models, the scarce resource is not another chat box. It is trusted context: the notes, decisions, and fragments that only you have. Those should live as files you control. AI should meet them there.
Reimagining note-taking
Markdown Locker is not “notes plus a chatbot.” It is three modes that match how thinking actually works:
- Capture — get text in fast: write, paste, URL, or voice, then save as real
.mdfiles. - Explore — find and reopen anything without fighting a database UI.
- Think — ask questions across the whole archive, with answers grounded in your notes and citations you can open.
Capture and Explore stay free. Think is Pro — where continuous model use and multi-model choice live. AI cost stays on your key, so the product unlocks the workspace rather than renting you inference.
Where this goes
Near term: better capture, quieter organisation, Think that feels like a partner over your locker. Next: agents that carry full memory of what you’ve written, and connectors so the locker can see more of your world without giving up the files.
The destination is simple to say and hard to ship: a personal knowledge surface that is local, plain, and intelligent — not a feed, not a cloud binder, not a demo of someone else’s model.