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chore(frontend): drop dead settings toggle, types, and store list-surface
Drift-audit Group 7 frontend cleanup (no behavioral change):

- SettingsView: remove the 'auto-consolidate task bodies' toggle and its
  saveAutoConsolidate handler. The auto_consolidate_tasks setting has zero
  backend readers (curator removed in Phase 8); the control did nothing.
- AppSettings type: drop the dead assistant_name / default_model hints (kept
  the open string index signature the store actually uses). Delete the fully
  orphaned types/chat.ts (zero importers).
- notes/tasks Pinia stores: remove the list/filter/sort/pagination surface
  that backed the removed /notes and /tasks list views (verified no consumer
  uses the tasks/notes arrays, refresh, or any filter/sort/pagination method).
  Kept currentNote/currentTask, loading, fetch/create/update/delete, convert,
  patchStatus, startPlanning, backlinks, tags.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-02 19:47:28 -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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