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fix(caldav): point-event round-trip, recurrence push, delete propagation
Drift-audit Group 5 #7/#8 + Group 7 (CalDAV write-path):

- Point events no longer fabricate a 60-min DTEND: caldav.create_event emits
  DTSTART-only when there's no end and no duration, so the next pull doesn't
  read it back as duration_minutes=60 and silently lengthen the event.
- Recurrence edits now propagate: caldav.update_event gains a recurrence param
  (sentinel = leave unchanged; value/empty = set/clear RRULE), and _push_update
  passes the local event's rule so a changed/cleared RRULE isn't overwritten
  by the stale remote rule on the next pull.
- Event deletions propagate to CalDAV: trash.delete captures an event's
  caldav_uid before soft-deleting and fires _push_delete, so a UI/MCP delete
  removes the remote copy instead of leaving it to linger. (delete_event the
  service primitive is kept — still tested/usable — rather than removed.)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-02 19:20:14 -04:00

Fabled Scribe

A self-hosted second brain and project management application with integrated LLM capabilities. Write, organise, and act on your notes and tasks with the help of a local AI assistant — all running on your own hardware.

Features

Notes and tasks with a Markdown editor, sub-tasks, milestones, and kanban project workspaces. AI chat with streaming responses, RAG over your notes, and tool use (web search, calendar, weather). A daily briefing that digests your tasks, RSS feeds, and weather on a schedule. Knowledge graph, per-user/group sharing, PWA with push notifications, and an MCP server for external AI clients.

Quick Start

Prerequisites: Docker and Docker Compose. 8 GB+ RAM recommended for LLM inference.

Download docker-compose.quickstart.yml from this repo, then:

# Optional but recommended — set a secret key
export SECRET_KEY=your-random-secret-here

docker compose -f docker-compose.quickstart.yml up -d

Open http://localhost:5000. The first user to register becomes admin. Go to Settings → General to pull an LLM model — qwen3:8b or llama3.1:8b are good starting points.

GPU: Ollama runs CPU-only by default. See the comments in docker-compose.quickstart.yml to enable NVIDIA GPU passthrough.

Development: To build from source, see Development.

Documentation

Doc Contents
Architecture Stack, design decisions, data models, key services
Configuration Environment variables, Docker Compose, production setup, security
Features Detailed feature breakdown and keyboard shortcuts
Development Dev workflow, CI/CD, migrations, release process
API Keys & MCP API key management and Fable MCP install guide
SSO / OAuth OIDC setup for Authentik, Keycloak, and other providers
API Reference All REST API endpoints

License

This project is privately maintained.

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