Three briefing quality fixes surfaced by reading today's 2026-04-11 compilation output: - **Stale weather**: get_weather was returning 48h-old cache data after a missed scheduler run. Tool now auto-refreshes any cached location older than 6h (fetching fresh data from Open-Meteo), and stamps each location with cache_age_hours + is_stale so the model can hedge instead of faithfully relaying old numbers. - **Cancelled tasks leaking into prose**: briefing loop now defaults list_tasks calls to status=["todo","in_progress"] when the model doesn't specify, so cancelled/done items stop showing up in the summary. Localized to the briefing path — chat still sees full history. - **Overdue in-progress tasks missed by midday check-in**: tightened the check-in prompt to explicitly require two list_tasks calls — one for in_progress (catches items dragging past their due date) and one filtered by due date — so long-running tasks stop getting silently dropped.
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.