How to Read Raycast AI Chat History Outside the Launcher

Raycast is a launcher first, but for a lot of macOS power users it quietly became the daily AI chat window. It sits behind a keystroke, it remembers context, and it turns a two-second thought into a full conversation with GPT, Claude, or a local model. The problem starts when those chats stack up. After a month you have hundreds of threads about deploy scripts, regex, product copy, and the one time you asked it to explain your own tax situation. Raycast shows them in a narrow side panel that was built for glancing, not for rereading. This guide walks through pulling Raycast AI history out of the launcher and into a real reader, so you can search it, annotate it, and get real use out of it later.

Why the built-in Raycast history stops being enough

The AI Chat panel in Raycast is optimized for the next question, not the last one. The list on the left is chronological, the preview is a few lines wide, and there is no full-text search across every message inside every thread. If you want to find that answer about migrating a Postgres enum from three weeks ago, you scroll. Then you scroll more, and the thread titles are often unhelpful because Raycast auto-names them from the first prompt.

The other quiet issue is code and math. Raycast renders fenced code and inline formatting fine in the moment, but reread that same answer a week later with three nested code blocks and a table and the panel width fights you. Copy and paste into Notes and you lose the syntax highlighting, and pasting into a doc drops the monospace font entirely. This is exactly the reading gap we wrote about for AI markdown in general, and it hits Raycast harder because the UI is so narrow by design. The launcher shape that makes Raycast fast to invoke is the same shape that makes long-form review painful.

Where Raycast stores your AI chats on disk

Raycast keeps its data locally on your Mac inside the Application Support directory. The full path is ~/Library/Application Support/com.raycast.macos, and inside that folder you will find a SQLite database that holds preferences, extension state, and the AI chat history. Poke around with a tool like DB Browser for SQLite and you can see the tables, but this is not a supported export path. Raycast can change the schema in any release, and messing with a live database while the app is running is a good way to lose a thread.

The supported route is the built-in export. Open Raycast, hit the AI Chat command, right click any conversation in the sidebar, and choose Export. You get a plain markdown file per conversation, and that file is the seed for everything that comes next. Keep the raw exports untouched in one folder and do your renaming and tagging in a copy, so you always have a clean original to fall back on if a rename script goes sideways.

A clean export workflow that scales past ten chats

Exporting one conversation is trivial, but exporting sixty is where people give up. A workflow that survives the long run has three moves. First, batch export on a schedule you keep, once a week is usually enough. Second, drop everything into a single folder with the month in the folder name so future you can find it, something like ~/Documents/raycast-ai-archive/2026-08/. Third, rename each file with the date and a short slug, because Raycast exports use the conversation title and those titles are often things like "Untitled" or "help with the thing".

• Weekly export beats one giant end-of-quarter dump.
• One flat folder per month is easier to search than nested by project.
• Rename Untitled.md to 2026-08-14-postgres-enum.md at export time.

If you live in Raycast you can wire this into a small script and trigger it from a custom Raycast script command. Now the archive builds itself and you never think about it. A one-liner cron on top of that catches the weeks you forget, and a status bar item can nag you when the archive folder has not grown in seven days. None of this is exotic, and the payoff is that six months later your knowledge base exists without any heroic cleanup weekend.

Reading long Raycast threads without going cross-eyed

Once you have a folder full of markdown, the question is what to open it with. A code editor works, sort of, but the monospace font makes prose feel like a config file and the sidebar full of file names does nothing for the reading experience. A note app like Bear or Obsidian is closer, though neither was built for the shape of AI answers, meaning long prose blocks broken by code, math, and the occasional Mermaid diagram. The result is a reader that either treats your archive like source code or like a diary, when what you want is something in between.

Prism MD was built for exactly this shape of text. Point it at your Raycast export folder and it renders each conversation with typography tuned for AI output, syntax highlighting that survives on mobile, and inline KaTeX and Mermaid so a diagram Raycast rendered inside its panel still renders when you reopen it a month later. If you want the same treatment for coding agents, the guide on reading Claude Code and Cursor transcripts covers the same idea for a different source. The point is not to abandon Raycast, it is to give the outputs a home that respects how you will read them once the moment has passed.

Making old Raycast chats searchable and linked

A folder of markdown becomes a knowledge base the moment you can search it fast. Two things matter here: full-text search across every file, and search that understands code as well as prose. Tools like ripgrep will happily grep your archive from the terminal and pair well with a reader that opens the hit in context. If you tag your exports at export time, even a light system like #work #homelab #writing at the top of each file, you get faceted filtering for free without touching a database.

The move most people miss is linking. When one Raycast answer builds on another, drop a plain markdown link between the two files, and your archive turns into a small personal wiki where rereading a thread pulls the earlier context in with it. This is the same instinct that makes organizing AI conversations by project worth the ten minutes it costs. Give it a month and you will have a graph of your own thinking, which is worth more than any single answer inside it. That graph is what turns Raycast from a fast question box into a compounding tool.

FAQ

Does Raycast sync AI chat history across Macs?

Raycast Pro syncs settings and some data through Raycast Cloud, but AI chat history sync has been inconsistent across releases. Treat the local export as the source of truth. If you rely on sync alone and reinstall, you may lose threads that never made it up to the cloud. The safe move is to run your weekly export on the Mac where you do the most AI chatting, and copy the resulting folder into a synced service like iCloud Drive or Dropbox so every device sees the same archive.

Can I export all my Raycast AI chats at once?

There is no official bulk export button as of 2026. You can right click and export one at a time, or script it against the local database if you accept the risk. A weekly manual pass over new threads is the workflow most people can stick to long term without burning out. If you need a one-shot dump, an AppleScript that walks the AI Chat sidebar and triggers Export on each item is the least fragile option, and you only pay the setup cost once.

Does exporting include the model I used and the timestamps?

Yes. The markdown export includes the conversation title, timestamp, and model per message. That metadata is worth keeping because six months later you will care whether a given answer came from GPT-5, Claude, or a local model. Do not strip it during any cleanup pass, because the model name is often the difference between a citation you trust and one you double check before shipping.

What if I use Raycast AI Commands, not Chat?

AI Commands run one-shot and do not create a chat thread by default. If you want a record, pipe the result into a Raycast script that appends to a daily markdown log, then read that log the same way you read the chat exports. This gives you a rolling transcript of every prompt you fired all day, including the ones you would never have thought to save. Over a month that log becomes the most honest picture of how you use AI you will ever have.

Exports are only useful if you open them, and most Raycast users never get past the first weekend of good intentions. Prism MD gives your Raycast AI history a reading home built for the way AI text is shaped, on the devices you already carry, and it keeps working when Raycast changes its schema next quarter. Set up the weekly export, point the reader at the folder, and let the archive earn its keep every time you reopen an old thread. The launcher stays fast for the next question, and the reader takes care of every question you already asked.