bvandeusen
e4e1d1da49
Two related bugs where the server defaulted naive datetimes to UTC instead of the configured user timezone, causing all-day events to land on the previous day and briefings to "disappear" at UTC midnight. - New services/tz.py helpers: get_user_tz, user_today, user_briefing_date (the briefing day flips at 4am local to align with the compilation slot, so the 00:00-04:00 local window still shows yesterday's briefing until the new one is generated). - calendar create/list/update tools now parse naive datetimes in the user's TZ before converting to UTC for storage, and tool descriptions tell the model to pass plain local dates. - briefing_conversations.get_or_create_today_conversation and the reset-today route use user_briefing_date so the in-progress briefing doesn't get replaced at 19:00 NY / UTC midnight. - _run_profile_closeout targets user-local "yesterday" for consistency. Regression tests added for the TZ helpers and the calendar tool. Co-Authored-By: Claude Opus 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.