bvandeusen
c5191837fb
- Project.to_dict() now includes user_id and auto_summary - Status validation unified to (active/completed/archived) on both create and update project routes; update route previously had none - Milestone routes: replace get_project (ownership-only) with get_project_for_user so shared viewers/editors can access milestones - Add get_milestone_in_project() to milestones service for project- scoped lookup without user_id filter; all milestone routes use it - Milestone PATCH now validates status as 'active'|'done'; fix tool enum which was wrongly ['active','completed','cancelled'] - Write mutation routes (POST/PATCH/DELETE milestones) now check can_write_project() and return 403 for read-only shared users - update_project tool now exposes title and color fields so projects can be renamed or recolored via chat - create_project tool now exposes color field - GET /api/projects?include_summary=true embeds summaries in one backend pass; ProjectListView switches to this, eliminating N+1 per-project fetches 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.