bvandeusen
94d21c4512
- Startup now pulls Config.OLLAMA_MODEL (system default chat model) — previously only embedding and background models were pulled; the primary chat model was skipped - _warm_user_models expanded to also pull user-configured default_model and background_model overrides that are missing from Ollama, rather than logging and skipping them; pulls run before warm/KV-cache priming - Add background_model to _MODEL_KEYS in settings route so clearing the dropdown deletes the DB row instead of saving "", which caused Ollama failures in tag suggestions, title generation, project summaries, and RSS classification - Add http/https scheme validation to PUT /api/admin/base-url matching the CalDAV route pattern; a bad value no longer silently breaks invite/password-reset links - Update admin voice config description: "Reload models" button exists to avoid a server restart, so the old "restart required" text was misleading 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.