bvandeusen
c91b9c46ff
Previously removed all voice deps from the runtime image because of the numpy<2 / cp314 wheel chain. Actual upstream check (PyPI 2026-05-21) shows the chain has resolved for the STT half: - ctranslate2 v4.7.2 (2026-05-19) ships cp314 wheels - faster-whisper v1.2.1 is pure Python and works on any supported runtime - onnxruntime v1.26.0 has cp314 wheels (not used here but shared with the upcoming piper-tts install) The blocker was kokoro, not the whole stack. Kokoro has been stale upstream since April 2025 with a `requires_python='<3.13'` pin; that's being replaced separately with piper-tts. This commit restores ONLY STT — faster-whisper + soundfile. No torch (ctranslate2 does its own CPU inference), no kokoro, no spacy. Image add: ~150 MB. Voice code is lazily guarded; STT now works when VOICE_ENABLED=true. TTS still fails gracefully (kokoro import error logged, voice degrades) until the piper-tts swap lands. 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.