Where are my prompts stored?

Entirely in your browser's localStorage. Nothing is sent to a server and there is no account. This keeps proprietary prompts private, but it also means the library lives on this one browser unless you export it.

How do I move my library to another machine?

Click Export to download a JSON file of every prompt, then on the other browser paste that JSON into the Import box. The two libraries merge by prompt id, so importing is safe and non-destructive.

Can I search inside prompt text?

Yes. The search box matches across the title, the full prompt body, the tags, and the notes, so you can find a prompt by any memorable phrase, not just its title.

What are the model tags for?

They record which model a prompt was tuned for, since a prompt that works on a frontier model may need changes for a smaller one. Filtering by model tag helps you reuse the right variant.

Is my data safe if I clear my browser?

Clearing site data or localStorage will erase the library, so export a JSON backup periodically. The tool guards against corrupted storage by validating data on load, but it cannot recover data the browser has deleted.

AI Prompt Library Manager

AI prompt library manager

Good prompts are assets, and most teams lose them in chat history and scratch files. This manager gives you a private, browser-based prompt library with titles, tags, model labels, notes, full-text search, and JSON export — no server, no account, nothing leaves your machine. Build a searchable repository of your best prompts and share it by exporting a file.

How it works

Each prompt you save is stored in your browser’s localStorage with a title, the prompt body, comma-separated tags, a model label, and free-form notes. Search matches across all of those fields, and clicking a tag filters the list. Export serializes the entire library to a JSON file; import merges a JSON file back in by prompt id, so backing up and sharing are both safe and non-destructive. Because everything is local, your proprietary prompts stay private.

Tips and notes

Export regularly. localStorage is wiped if you clear site data, so keep a JSON backup and treat it as the portable copy of your library.
Tag consistently. A small, stable tag vocabulary (e.g. summarize, extract, code) makes filtering far more useful than ad-hoc tags.
Label the model. Note which model a prompt was tuned for so you reuse the right variant when models differ in behavior.
Share by file. Send a teammate your exported JSON; they import it and the libraries merge without overwriting their own prompts.