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Eliminates the spurious ERROR log from ORT when ROCm isn't compiled in. Checks is_available() before attempting registration so the session correctly falls back to CPU without noise. |
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| breadman | ||
| breadpad | ||
| breadpad-shared | ||
| breadpad-test | ||
| .gitignore | ||
| bakery.toml | ||
| breadpad.example.toml | ||
| Cargo.lock | ||
| Cargo.toml | ||
| LICENSE | ||
| README.md | ||
breadpad / breadman
A quick-capture scratchpad and structured note viewer for Hyprland / Wayland, with AI-powered classification, reminders, recurrence, and snooze.
Two entry points, one binary, one shared workspace:
| Binary | Purpose |
|---|---|
breadpad |
Layer-shell capture popup — type a note, press Enter, done |
breadman |
Full note viewer and manager |
Workspace layout
breadpad-shared shared types, storage, classification, scheduler
breadpad GTK4 layer-shell capture popup
breadman GTK4 note viewer / manager
Features
Capture (breadpad)
- Layer-shell popup, centered, keyboard-exclusive — appears instantly on your keybind
- Single text field; press Enter or click ✓ to save, Escape to dismiss
- Optional manual type override before saving (defaults to AI classification)
- Timestamp and active Hyprland workspace recorded automatically
Classification
Every note passes through a three-tier pipeline at capture time:
- Rule-based parser — always runs first; handles time extraction ("at 7pm", "in 30 minutes", "tomorrow morning", "next Friday"), recurrence ("every Sunday at 9pm", "every weekday morning"), and strong type signals ("?" → question, "idea:" prefix → idea, action verbs → todo). High-confidence results skip the remaining tiers entirely.
- Small local ONNX model — runs when Tier 1 can't confidently assign a type. Responsible for type classification only; Tier 1's extracted time, recurrence rule, and cleaned body are always preserved.
- Large local model via Ollama — runs only when Tier 2 confidence falls below a configurable threshold. Communicates with a locally running Ollama instance over HTTP. If Ollama is unreachable, the Tier 2 result is used. No cloud APIs are involved.
Manual override always available — the AI-assigned type is shown as a chip you can tap to change before saving.
Note types (built-in)
| Type | Example |
|---|---|
todo |
"buy milk on the way home" |
reminder |
"pack calculator in bag at 7pm" |
idea |
"what if breadman had a calendar view" |
note |
"meeting went well, follow up Friday" |
question |
"why does nmcli drop on suspend?" |
User-defined tags can be added freely on top of the built-in types.
Reminders, recurrence, and snooze
- One-off reminders — natural language time ("at 7pm", "in 30 minutes", "tomorrow morning") parsed at classification time; scheduled via a systemd user timer
- Recurring reminders — "every Sunday at 9pm", "every weekday morning" — stored as an iCal-compatible RRULE and re-scheduled on each trigger
- Snooze — notification popup includes snooze actions: 15 min / 1 hour / tomorrow morning / custom; snoozing reschedules the timer without touching the original note
- Missed reminders — if the system was off or suspended at the scheduled time, the reminder fires on next login
Viewer (breadman)
- Sidebar with one entry per type + "All" and "Upcoming"
- Each note card shows: body, type chip, timestamp, workspace tag, recurrence badge if set
- Upcoming view: chronological list of all pending reminders and todos with times
- Inline editing — click any card to edit body, type, time, or recurrence
- Mark todo/reminder as done; done items move to an archive accessible via a toggle
- Search across all notes (full-text, instant)
- Sort: newest first (default)
Theming
- Reads
~/.cache/wal/colors.json(pywal) on startup — matches the rest of the bread ecosystem - Falls back to Catppuccin Mocha
- CSS override:
~/.config/breadpad/style.css SIGHUPreloads theme at runtime
Storage
Notes are stored as JSONL at ~/.local/share/breadpad/notes.jsonl — one JSON object per line, human-readable, easy to back up or script against.
{"id":"a1b2c3","body":"Pack calculator in bag","type":"reminder","time":"2026-05-25T19:00:00Z","rrule":null,"done":false,"workspace":"1","created":"2026-05-25T18:45:00Z","snoozed_until":null,"completed":null,"tags":[],"caldav_uid":null}
{"id":"d4e5f6","body":"Look into relm4 reactive patterns","type":"idea","time":null,"rrule":null,"done":false,"workspace":"2","created":"2026-05-25T14:10:00Z","snoozed_until":null,"completed":null,"tags":[],"caldav_uid":null}
Completed notes are never deleted — they gain "done": true and a "completed" timestamp. A separate ~/.local/share/breadpad/archive.jsonl is written periodically for notes older than 30 days.
AI classification
Three-tier pipeline
Tier 1 — Rule-based parser
Always runs. Handles:
- Time extraction: "at 7pm", "in 30 minutes", "tomorrow morning", "next Friday at 9am"
- Recurrence: "every Sunday at 9pm", "every weekday morning" → stored as RRULE
- Type signals: leading "?" or "why/how/what" →
question; "idea:" prefix or "what if" →idea; action verbs →todo; time present →reminder
Returns a calibrated confidence. If ≥ 0.82, Tiers 2 and 3 are skipped.
Tier 2 — Small local ONNX model
Runs when Tier 1 confidence is below threshold. Responsible for type classification only — Tier 1's extracted time, recurrence rule, and cleaned body are always preserved.
Invoked via ort (ONNX Runtime Rust bindings, load-dynamic) on the CPU. Requires an external libonnxruntime.so; set model.ort_dylib_path in breadpad.toml or let breadpad auto-discover it via ORT_DYLIB_PATH.
Tier 3 — Large local model via Ollama
Runs only when Tier 2 confidence falls below model.ollama.confidence_threshold (default 0.6). Sends a structured prompt to a locally running Ollama instance over HTTP and parses the JSON response for type, body, and confidence. The Ollama model runs on the iGPU via Ollama's own backend — breadpad does not manage GPU allocation for this tier.
If Ollama is unreachable or returns an invalid response, breadpad logs a warning and uses the Tier 2 result. No cloud APIs are used anywhere.
Model location (Tier 2)
~/.local/share/breadpad/model/classifier.onnx
~/.local/share/breadpad/model/tokenizer.json
breadpad ships without a bundled model. Drop a compatible ONNX classifier and tokenizer.json at those paths, then configure model.ort_dylib_path to point at your ONNX Runtime library.
breadpad model-info # shows active EP and model path
Requirements
- Linux with a running Hyprland compositor
- GTK4 (≥ 4.12) +
gtk4-layer-shell - D-Bus session bus (for notifications)
- systemd user session (for timer-backed reminders)
- Rust 1.80+
- Tier 2 (ONNX classifier): An external
libonnxruntime.so. Setmodel.ort_dylib_pathinbreadpad.toml, or setORT_DYLIB_PATHin your environment. Without a library, Tier 2 is disabled; Tier 1 + 3 still work. - Tier 3 only (optional): Ollama running locally with your chosen model pulled (
ollama pull llama3.2:3b). Tier 3 is silently skipped if Ollama is not running.
Installation
git clone https://github.com/breadway/breadpad
cd breadpad
cargo build --release
cp target/release/breadpad ~/.local/bin/
cp target/release/breadman ~/.local/bin/
# Place your ONNX classifier and tokenizer in the model directory
mkdir -p ~/.local/share/breadpad/model
# Then set model.ort_dylib_path in breadpad.toml to your libonnxruntime.so
On Arch Linux, install GTK4 dependencies first:
sudo pacman -S gtk4 gtk4-layer-shell
Configuration
On first run, breadpad writes ~/.config/breadpad/breadpad.toml:
[settings]
default_type = "note" # fallback type if classification is skipped
workspace_tag = true # tag notes with active Hyprland workspace
snooze_options = ["15m", "1h", "tomorrow_morning"] # shown in notification actions
archive_after_days = 30
[model]
path = "~/.local/share/breadpad/model/classifier.onnx"
tokenizer = "~/.local/share/breadpad/model/tokenizer.json"
ort_dylib_path = "" # optional: explicit path to libonnxruntime.so; auto-discovered when empty
[model.ollama]
endpoint = "http://localhost:11434"
model = "llama3.2:3b" # any model you have pulled in Ollama
confidence_threshold = 0.6 # Tier 2 scores below this trigger Tier 3
enabled = true # set false to never call Ollama
[reminders]
default_morning = "08:00" # what "tomorrow morning" resolves to
missed_grace_minutes = 60 # how long after boot to still fire a missed reminder
Usage
breadpad (capture)
# Open the capture popup (bind this to a key in hyprland.conf)
breadpad
# Open with a pre-selected type
breadpad --type todo
# Skip AI classification (save as plain note)
breadpad --no-classify
# Show model and storage status
breadpad --status
Hyprland keybind:
bind = $mainMod, N, exec, breadpad
breadman (viewer)
# Open the note viewer
breadman
# Open directly to a specific type view
breadman --view todo
breadman --view upcoming
# Mark a note done by ID (scriptable)
breadman done <id>
# List upcoming reminders in the terminal
breadman upcoming --plain
Scheduler
breadpad manages reminders via systemd user timers. Each scheduled note gets a transient timer unit:
breadpad-reminder-<id>.timer
breadpad-reminder-<id>.service
The service unit runs breadpad fire <id>, which sends a notify-send notification with snooze actions. Snoozing writes the new time back to the note and creates a replacement timer. Recurring notes create the next timer immediately on fire.
You can inspect pending timers:
systemctl --user list-timers 'breadpad-*'
Testing
breadpad-test is a CLI test harness for the classification pipeline. It runs a JSON corpus of labelled inputs through any tier of the pipeline and reports pass/fail.
# Run Tier 1 (rule-based only) — fast, no model needed
breadpad-test run
# See only failing cases
breadpad-test run --format failures
# Run Tier 2 (+ ONNX model)
breadpad-test run --tier 2
# Run full pipeline including Ollama
breadpad-test run --tier all
# Machine-readable output
breadpad-test run --format json
Corpus format
Default path: breadpad-test/corpus.json. Override with --corpus <path>.
[
{
"input": "pack my calculator in my bag tonight",
"expected_type": "todo",
"expected_time": null,
"expected_body": "pack my calculator in my bag",
"expected_rrule": null,
"notes": "no time specified, should not infer one"
}
]
expected_time—HH:MM; date component is ignored so tests are never date-sensitiveexpected_rrule— matched as substring of the actual RRULE string- Any
nullfield is skipped — only non-null fields are asserted
Tier modes
--tier |
What runs |
|---|---|
1 (default) |
Tier 1 rule-based parser only — no model required |
2 |
Tiers 1 + 2 (ONNX classifier) |
3 / all |
Full pipeline including Tier 3 Ollama |
Corpus management
# Interactively add an entry
breadpad-test add
# Show entry #5 and the pipeline's actual output
breadpad-test show 5
# Open corpus file in $EDITOR at entry #5
breadpad-test edit 5
Typical tuning workflow
# 1. See what Tier 1 gets wrong
breadpad-test run --tier 1 --format failures
# 2. Edit parser.rs, then rerun
cargo build -p breadpad-shared && breadpad-test run --tier 1 --format failures
# 3. Once Tier 1 is stable, audit Tier 2 regressions
breadpad-test run --tier 2 --format failures
Nextcloud Calendar integration
breadpad can push scheduled notes and recurring reminders to a CalDAV calendar (Nextcloud or any RFC 4791-compliant server). No cloud APIs are used — everything goes directly to your own server over HTTPS.
What gets pushed
Notes with a scheduled time (time field) or recurrence rule (rrule) are pushed as VEVENT entries when saved. Notes without a time are not pushed. Deleting a note also deletes the corresponding calendar event.
Configuration
Add a [calendar] section to ~/.config/breadpad/breadpad.toml:
[calendar]
enabled = true
url = "https://nextcloud.example.com/remote.php/dav/calendars/you/breadpad/"
username = "you"
password = "app-password-here" # use a Nextcloud app password, not your login password
The calendar must already exist on the server. Create it in the Nextcloud Calendar app before enabling this integration.
CLI commands
# Verify the CalDAV connection and credentials
breadpad calendar test
# List CalDAV UIDs for all scheduled notes (queries the server if enabled, local store if not)
breadpad calendar list-uid
# Show the CalDAV UID for a specific note by its local ID
breadpad calendar list-uid <note-id>
Event format
Each note is pushed as a VEVENT with:
UID—<note-id>@breadpad(stable and deterministic)SUMMARY— note bodyDTSTART/DTEND— scheduled time (or creation time for recurring notes without a fixed start)RRULE— recurrence rule if setDESCRIPTION—type=<note-type>
Security note
Store your CalDAV password using a Nextcloud app password rather than your account password. App passwords can be revoked individually from the Nextcloud security settings.
Module layout
| Crate / module | Responsibility |
|---|---|
breadpad-shared/src/types.rs |
Note, NoteType, RecurrenceRule, SnoozeState |
breadpad-shared/src/store.rs |
JSONL read/write, atomic saves, archive rotation |
breadpad-shared/src/classifier.rs |
Three-tier pipeline orchestration (Tier 1 → 2 → 3) |
breadpad-shared/src/parser.rs |
Tier 1: rule-based time/recurrence/type parsing |
breadpad-shared/src/ai.rs |
Tier 3: Ollama HTTP client, prompt construction, response parsing |
breadpad-shared/src/calendar.rs |
CalDAV client: push, delete, list events; iCal VEVENT builder |
breadpad-shared/src/scheduler.rs |
systemd timer creation, snooze, recurrence next-occurrence |
breadpad/src/main.rs |
GTK4 layer-shell popup, text field, type chip selector |
breadman/src/main.rs |
GTK4 app entry, sidebar, note list, search |
breadman/src/views/ |
upcoming.rs, archive.rs, per-type list views |
breadman/src/editor.rs |
Inline note editor popover |
License
MIT