bvandeusen
d9bd16633f
- PUT/PATCH/DELETE /api/tasks/:id now use get_note_for_user + can_write_note
so shared project editors can mutate tasks; owners unaffected
- PATCH /api/tasks/:id/status gets same treatment
- All write routes call update_note/delete_note with note.user_id (owner)
not the accessing user's uid, matching the milestone fix pattern
- create_task tool gains tags (array) and status (enum) parameters;
handler now passes tags to create_note and respects initial status
- create_task tool response now includes milestone_id and parent_id
- update_note tool gains milestone parameter; handler resolves the
milestone by title within the note's current (or newly set) project,
clears milestone_id when project is cleared
- list_tasks tool gains q keyword search parameter; passed through
to list_notes
- TaskEditorView: replace window.location.reload() with
router.push('/tasks/:id') after save
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Fabled Assistant
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, an MCP server for external AI clients, and an Android companion app.
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 |
| Android App | Flutter companion app architecture and feature status |
License
This project is privately maintained.