bvandeusen
9137bf698a
CI broke on the build job: kokoro's resolver walks back to a version that pins numpy<2, which has no cp314 wheel; pip falls back to compiling numpy from source; python:3.14-slim has no compiler; build fails. Removing the voice deps install (torch + faster-whisper + kokoro + soundfile + spacy) from the runtime image: - unblocks the 3.14 build immediately - shrinks the image by ~2 GB (torch alone) - aligns with the explicit operator preference (voice/TTS doesn't pay off in their workflow; conversational chat will get smaller/faster with the new no-tools chat model on GPU, so transcription matters even less) Voice paths in code are already lazily guarded — TYPE_CHECKING-only imports plus try/except inside load_stt_model. With VOICE_ENABLED=false (default), the app starts cleanly with no voice deps installed. With voice enabled, the import error is caught and logged; the feature degrades gracefully rather than crashing. To re-enable voice in a future build, `pyproject.toml` already has the `voice` extra ready: install it with `pip install .[voice]` plus the torch index pin, and download spacy en_core_web_sm. Dockerfile comment documents the path. Co-Authored-By: Claude Opus 4.7 (1M context) <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.