docs: add CLAUDE.md, README, and fix desktop Exec path

Add project context file for AI agents and a user-facing README
covering features, installation, usage, and configuration. Update
the desktop file Exec to use the full uv path for autostart.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

CLAUDE.md

@@ -0,0 +1,76 @@
+# My Memory
+
+Low-friction capture app for thoughts, text, and voice. Runs as a system tray app on Linux (PySide6).
+
+## Tech Stack
+
+- **Language:** Python 3.13+ managed with `uv`
+- **UI Framework:** PySide6 (Qt 6)
+- **Transcription:** faster-whisper (CTranslate2) with CUDA auto-fallback to CPU
+- **Data Format:** Markdown files with YAML frontmatter (`python-frontmatter`)
+- **Models:** Pydantic v2
+
+## Running
+
+```bash
+uv run my-memory           # Launch tray app
+uv run my-memory --capture # Open capture window (or signal running instance)
+uv run my-memory --board   # Open kanban board (or signal running instance)
+uv run my-memory --download-model  # Pre-download Whisper model
+```
+
+## Project Structure
+
+```
+src/my_memory/
+  __main__.py       # CLI entry point, single-instance dispatch
+  app.py            # QApplication, system tray, IPC via QLocalServer
+  config.py         # Config dataclasses + TOML loading (~/.my-memory/config.toml)
+  models.py         # Pydantic models: Entry, EntrySource, EntryStatus
+  storage.py        # Markdown + YAML frontmatter file I/O
+  schema.py         # Auto-generated schema.md for AI agent discovery
+  capture_window.py # Frameless popup: text input, voice recording, transcription
+  board_window.py   # Kanban board: On Docket -> In Progress -> Complete
+  audio_recorder.py # sounddevice recording with RMS level signals
+  transcriber.py    # faster-whisper with QThread worker, CUDA/CPU fallback
+```
+
+## Data Storage
+
+Entries live in `~/.my-memory/entries/YYYY-MM-DD/{uuid}.md` with YAML frontmatter. Voice entries have a paired `.wav` file.
+
+## Entry Statuses
+
+- `docket` — Newly captured, waiting to be acted on
+- `in_progress` — Currently being worked on
+- `complete` — Done (column is collapsible with 7d/30d/All date filter)
+- `cancelled` — Archived/discarded (hidden from board, file preserved on disk)
+
+## Key Patterns
+
+- **Single instance:** Uses `QLocalServer`/`QLocalSocket` IPC so `--capture` and `--board` flags signal the running instance
+- **System tray:** App stays resident with `setQuitOnLastWindowClosed(False)`; Ctrl+C is handled via SIGINT + QTimer
+- **Lazy model loading:** Whisper model is loaded on first transcription, not at startup
+- **File watching:** Board auto-refreshes via `QFileSystemWatcher` with 300ms debounce
+- **Collapsible Complete column:** Collapsed by default, shows count badge; when expanded, filters by date (7d default)
+
+## Configuration
+
+Optional `~/.my-memory/config.toml`:
+
+```toml
+[whisper]
+model_size = "base"     # tiny, base, small, medium, large-v3
+device = "auto"         # auto, cuda, cpu
+compute_type = "float16"
+
+[audio]
+sample_rate = 16000
+channels = 1
+```
+
+## Gitea
+
+- **Repo:** https://git.manticorum.com/cal/my-memory
+- **Remote name:** origin
+- **Branch:** master

README.md

@@ -0,0 +1,90 @@
+# My Memory
+
+A low-friction capture app for thoughts, text, and voice. Lives in your system tray and lets you quickly jot down or dictate ideas, then organize them on a kanban board.
+
+## Features
+
+- **Text capture** — Type a thought and save it with Ctrl+Enter
+- **Voice capture** — Record audio, auto-transcribed via Whisper
+- **Kanban board** — Drag entries through On Docket, In Progress, and Complete
+- **Collapsible Complete column** — Collapsed by default with count badge; expand to filter by 7 days, 30 days, or all time
+- **Cancel entries** — Archive notes you no longer need without deleting the file
+- **System tray** — Stays resident; click the icon to capture, right-click for menu
+- **Single instance** — Running `my-memory --capture` or `--board` signals the existing instance
+- **Plain files** — Entries are markdown with YAML frontmatter, stored in `~/.my-memory/entries/`
+
+## Requirements
+
+- Python 3.13+
+- [uv](https://docs.astral.sh/uv/) for dependency management
+- A working audio input device (for voice capture)
+- CUDA toolkit (optional, for GPU-accelerated transcription; falls back to CPU)
+
+## Installation
+
+```bash
+git clone https://git.manticorum.com/cal/my-memory.git
+cd my-memory
+uv sync
+```
+
+To pre-download the Whisper model:
+
+```bash
+uv run my-memory --download-model
+```
+
+## Usage
+
+```bash
+uv run my-memory              # Launch (lives in system tray)
+uv run my-memory --capture    # Open capture window
+uv run my-memory --board      # Open kanban board
+```
+
+### Autostart
+
+Copy or symlink the desktop file to autostart at login:
+
+```bash
+ln -s /path/to/my-memory/my-memory.desktop ~/.config/autostart/
+```
+
+## Configuration
+
+Create `~/.my-memory/config.toml` to override defaults:
+
+```toml
+[whisper]
+model_size = "base"       # tiny, base, small, medium, large-v3
+device = "auto"           # auto, cuda, cpu
+compute_type = "float16"
+
+[audio]
+sample_rate = 16000
+channels = 1
+```
+
+## Data Format
+
+Entries are stored as `~/.my-memory/entries/YYYY-MM-DD/{uuid}.md`:
+
+```yaml
+---
+id: "550e8400-e29b-41d4-a716-446655440000"
+timestamp: "2026-02-11T14:30:00"
+source: "voice"
+tags: []
+status: "docket"
+audio_file: "550e8400-...440000.wav"
+duration_seconds: 12.5
+---
+
+The captured thought content here.
+```
+
+Voice entries have a paired `.wav` file in the same directory.
+
+## License
+
+Private project.

my-memory.desktop

@@ -2,7 +2,7 @@
 Type=Application
 Name=My Memory
 Comment=Low-friction thought capture (text + voice)
-Exec=my-memory
+Exec=/home/cal/.local/bin/uv run --project /mnt/NV2/Development/my-memory my-memory
 Icon=document-edit
 Terminal=false
 Categories=Utility;