Lets a project mute individual rules or whole topics from rulebooks it subscribes to, without unsubscribing the rulebook. Two new association tables (migration 0060), 4 MCP tools (suppress/unsuppress × rule/topic), 4 REST endpoints, and an inline "× skip" affordance plus collapsed "Suppressed (N)" section in the project's Rules tab. get_applicable_rules now emits suppressed_rules and suppressed_topics (detail objects with rulebook/topic context, not just IDs) so the UI can render the suppressed list without a follow-up lookup. The main rules projection grew topic_id and rulebook_id columns for the per-row suppress affordance. Project deletion cascades the suppression rows via hard DELETE — they are pure associations with no soft-delete column, and restoring a deleted project should start fresh, not inherit stale mutes. Project-scoped rules (Rule.project_id) are deliberately not suppressible — delete them with delete_rule instead. Implements plan-task #187. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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.