bvandeusen
de4b1d7c7e
The /api/journal/weather route was filtering out cache rows older than 24 hours via parse_weather_card_data, while journal_prep.py read the same rows raw without freshness checking. Result: the daily prep referenced "home" and "work" temperatures while the right-rail UI showed nothing — two surfaces, same backing data, inconsistent visibility. Two changes: 1. parse_weather_card_data no longer returns None for stale data. WeatherCard already exposes fetched_at and gracefully hides today_high / forecast fields when they're absent, so old data renders with whatever fields the cached forecast still covers. 2. The /weather route opportunistically schedules a background refresh for any cache row older than 4 hours. If the user's journal_config has lat/lon for that location_key, the refresh runs and the next page load gets fresh data; if no usable config, the refresh is a silent no-op and the stale cache is still served. This makes prep and UI consistent. It also self-heals over time — once locations are configured, stale caches get refreshed on the next page load instead of waiting indefinitely. Co-Authored-By: Claude Opus 4.7 <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, 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.