Software · Office & notes

Lotti

Private logbook with AI assistants.

Completely free
macOS, Linux, Android and iOS
Open source
No account

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Geographic availability: No geographic restriction found in our sources; availability is not checked country by country.

Technical details

Pricing: Completely freeconfirmed by GitHub, Flathub
License: GPL-3.0 — Open source (copyleft)confirmed by GitHub, Flathub
Open source: Yes
Commercial use: Yesconfirmed by GitHub, Flathub
Account required: Noconfirmed by GitHub
Credit card required: Noconfirmed by GitHub, Flathub
Watermark: Not applicable
Ads: not documented
Platforms: macOS, Linux, Android and iOSEstablished by Android: GitHub · iOS: GitHub · Linux: Flathub, GitHub · macOS: GitHub
Publisher: Matthias Nehlsen
Latest version: 1.1.94 (8 November 2026)
Latest activity: 8 November 2026
Source code: github.com/matthiasn/lotti

Overview

Features described in its Flathub listing and in its GitHub repository: sync across devices, end-to-end encryption and attachments.

Overview written by LicitPro from the documentation published by the authors and the cited sources; we have not tried the resource ourselves.

Excerpts that establish this information

“Lotti keeps those memories on your own devices and syncs them between those devices with end-to-end encryption; no cloud ever holds a readable copy.” — GitHub, 10 November 2026
“Lotti keeps those memories on your own devices and syncs them between those devices with end-to-end encryption; no cloud ever holds a readable copy.” — GitHub, 10 November 2026
“Your logbook is ordinary SQLite on your own disk with attachments in ordinary files beside it, readable without Lotti, so there is nothing to export and nothing to unlock.” — Flathub, 10 November 2026

At a glance

All of Lotti is free: no feature is locked behind a paid plan, and its code is open.

Its licence (GPL-3.0) is a copyleft open source licence: you may use, study, modify and redistribute it, including commercially; modified versions must keep the same licence.

Strengths

Open source code
No account needed
Commercial use allowed

About

Lotti gives you a private logbook and a staff of personal AI assistants to go with it. Record your day the way it actually happens — tasks, tracked time, voice notes, transcriptions, journal entries, habits, and health data — and long-living agents read what you record, keep it summarised, remember the context you would otherwise lose, and propose the next step. Agents suggest, you decide: every proposed change waits for your approval, with one small exception — an initial title or language for an otherwise empty task. All of it happens on your own devices. No server ever holds your data in readable form: multi-device sync is end-to-end encrypted, and the relay between your verified devices holds only ciphertext — not forever, and nothing depends on it keeping anything. There is no telemetry. On capable hardware the AI models run locally too, so your data never has to leave the machine; on lighter hardware, or to save battery, you route inference — per life category — to a cloud provider you choose. Your logbook is ordinary SQLite on your own disk with attachments in ordinary files beside it, readable without Lotti, so there is nothing to export and nothing to unlock. Under the hood, sync runs over Matrix using Vodozemac (Rust) for Megolm crypto; the homeserver relays only ciphertext between your own devices, and encryption keys reach only devices you have verified. A new device catches up because your other devices re-send history, not because a server stored it. Get support and join the Lotti community on Discord via the Contact link. What it does: Long-living AI agents (mission, soul, report directive) that read your logbook, propose changes, and only act after you approve Two-database architecture: a strict separation between your facts (the user database) and what the agents think (the agentic database), enforced on disk Run reasoning-capable models locally via oMLX or Ollama (e.g. Qwen 3.6 35B A3B, a Mixture-of-Experts model with ~3B active parameters) — or use Gemini Flash, OpenAI, Anthropic, Mistral, Melious.ai, or any OpenAI-compatible cloud provider, on a per-category basis Local voice transcription with Whisper or Voxtral; cloud transcription via Gemini, OpenAI, Mistral, or Melious.ai AI-generated cover art for tasks via Nano Banana Pro on Gemini, OpenAI, or Qwen, and Flux on Melious.ai Both the logbook and the agentic state sync end-to-end encrypted Habit tracking with success/fail/skip completion types, custom measurables, and dashboards

Description from Flathub — AppStream (Flathub)

Sources and checks

Facts collected from GitHub (credit card, account, source code, publisher, licence, free status, platforms, commercial use) — 10 November 2026
Facts collected from Flathub (credit card, publisher, licence, free status, platforms, commercial use, version) — 10 November 2026
Last technical check: 7 November 2026
Description from Flathub — AppStream (Flathub)

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