bvandeusen
b49efdcb11
Narrow Scribe to a Claude-Code work system-of-record (milestone #194, decision note #1759). Wholesale removal per rule #22 — backend + schema half. Calendar/events + CalDAV: delete models/event, services/{events,caldav, caldav_sync}, routes/events, mcp/tools/events; strip event branches from backup (bump v3->v4), dashboard (upcoming_events), trash, recent, and the mcp server read-only allowlist + instructions. Typed entities (person/place/list): delete mcp/tools/entities; drop the notes.metadata (entity_meta) column from model/service/routes and the knowledge browse service. note_type STAYS — it also marks 'process' notes. Scheduler: event_scheduler -> recurrence_scheduler, keeping only the recurring-task spawn job (drops event reminders + CalDAV sync). Schema: migration 0069 drops the events table + notes.metadata column + orphan caldav settings rows (faithful downgrade recreates them). KEEP: recurrence.py (task recurrence), notifications task reminders, graph view, and every work surface. Frontend + plugin/docs true-up follow next. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BPtbSzA4JLMAKgFZ8VTg7Q
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.ymlto 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.