bvandeusen
36fb71699b
The web silence detector previously ran RMS over getByteFrequencyData bytes (which are already dB-scaled) and re-log'd the result, producing numbers that didn't line up with real dBFS. Combined with a static -40 dB threshold that sat right on top of room ambient, silence detection rarely fired and the user had to click stop manually. - Rewrite useSilenceDetector to use getFloatTimeDomainData for honest linear RMS → dBFS. - Silence threshold is now dynamic: track session peak dBFS and treat "silent" as 15 dB below peak. Auto-calibrates per mic/room. - Grace period (1500 ms) at start so the user can begin speaking before checks arm; static -45 dB fallback until peak clears -25 dB so dead-silent sessions don't spin forever. - Silence duration bumped 1500 → 2000 ms for breathing room. Visual: detached red radial-gradient disc sits behind the mic in a wrapper; the button no longer scales, so the white mic icon stays legible on top while the halo grows from 1x to ~2.6x with live amplitude. Much more obvious "you are live" signal than the prior subtle box-shadow pulse. 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.