Llamora — a private journal that remembers with you

Today

Write a little every day. Each morning, Llamora opens the page with a few lines about the day before. Ask, and it responds to what you wrote. Over weeks it notices what keeps coming back, and helps you find your way to it again.

Registration at llamora.app is closed for now.

Llamora showing a daily page: the day opening, an entry with photos, and the model's response.

Every day

Daily pages

A new page opens each day. You write; the model responds only when asked. Each morning it opens the day with a few lines drawn from recent entries and a digest of the day before. Everything stays anchored to its date.

The calendar, with a summary of the hovered day beside it. — The calendar is the main way around. Hover a day to see what it held.

Over weeks

Traces

After you write, the model can suggest a few traces: light labels that make it easier to return later. Keep the ones that fit. Over time they show where something recurs, what it appears alongside, and which days it touches.

The traces view: a list of traces, and for the selected one a year-long heatmap, related traces and a summary. — Each trace gets its own page: a year at a glance, what it keeps company with, and a summary of how it has changed.

As it happens

Photos, too

Drop images onto an entry, or pick them from your phone, and open them full size to look back. They are stripped of location and other metadata, then stored encrypted. With a model that can see, replies take them into account.

A photo of the eclipse opened full size over the page.

When it runs long

Markdown supported

Write in Markdown when a longer entry wants some shape. Headings, lists, quotes and emphasis render as you would expect, and stay plain text underneath.

An entry written in Markdown, with a heading, a bulleted list and a quote.

When you look back

Search by meaning

Find past entries by what they were about, not only the words you used. Results are ranked across your whole journal, with matching traces highlighted.

Search results for solitude, each with its traces.

Wherever you are

On your phone

The same journal, laid out for a small screen and a thumb. Write on the way, add a photo from the camera roll, read it back at your desk.

Private by design

Yours to run.: Run it yourself with a local model and nothing leaves your machine. Llamora itself makes no outbound requests: no telemetry, no analytics, no phoning home.
Encrypted at rest.: Entries, responses, traces, search and photos are encrypted before they are stored. Your password unlocks a key that lives only in memory while you are signed in.
No evaluation.: The model can respond and suggest, but it never scores entries, infers traits or builds a profile of you. The record is yours to interpret.

Run your own

Get started

You need uv and a model server with an OpenAI-compatible API, such as llama.cpp.

# 1. Start a local model
llama-server -hf unsloth/Qwen3-4B-Instruct-2507-GGUF \
  --port 8081 -c 40000 --jinja

# 2. Install and run Llamora
uv sync
LLAMORA_LLM__UPSTREAM__HOST=http://127.0.0.1:8081 uv run llamora-server dev

Then open http://localhost:5000 and create an account. The README covers the demo journal, configuration and running in production.