bvandeusen
50b6902fe2
Make the always-on / subscribed / project-rule distinction explicit at the authoring surface so it can't silently regress (for this operator or other users). Previously the tools said only 'cross-project rulebook rule' and a bare 'subscribe a project' — nothing steered project-specific detail away from shared rulebooks, which is how a Scribe-pinned rule ends up binding every family project. Principle encoded in 5 places: a rule's home is chosen by WHO it should bind, and both rulebook tiers are SHARED so their rules stay general — they differ in reach (all projects vs opt-in by theme), not generality. Project-specific detail goes in create_project_rule. - server.py MCP instructions: add the 3-tier authoring principle - create_rule / create_rulebook / create_project_rule / subscribe_* docstrings - using-scribe SKILL.md: a 'Where a new rule goes' note for the pull path Refs #755 Co-Authored-By: Claude Opus 4.8 (1M context) <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.