bvandeusen c39d7356ed
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chore(dead-code): fix prod image, drop orphaned code, correct delete_rule doc
Drift-audit Group 7 (renamed/removed lingers) + Group 5 #9:

- docker-compose.prod.yml pulled fabledassistant:latest, a tag CI stopped
  publishing after the rename. Point it at fabledscribe:latest (the name CI
  and quickstart use). The internal DB name stays fabledassistant by design.
- Remove the unused hard-delete delete_note imports from the notes and tasks
  route modules (they delete via trash; the import was an attractive nuisance
  that bypassed soft-delete).
- delete_rule MCP tool: docstring/warning said 'permanently delete' but the
  body moves the rule to recoverable trash. Corrected to match.
- Delete services/calendar_sync.py: fully orphaned (zero importers) and it
  read Config attrs that no longer exist, so any re-wiring would crash.
- Remove dead services: notes.search_notes_for_context and logging.log_generation
  (zero callers; log_generation wrote a 'generation' category no stats/UI surface).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-02 19:28:36 -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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