bvandeusen
65d3711a11
After fixing the /mcp path forwarding in 1fd303a, requests now reach
FastMCP — but its StreamableHTTPSessionManager raises:
RuntimeError: Task group is not initialized. Make sure to use run().
The session manager owns a task group that must be running before it
can handle requests. In a stand-alone Starlette app this happens via
the `lifespan` parameter (lifespan = session_manager.run). Hosted
inside Quart, my dispatch wrapper only forwards HTTP events, not
lifespan, so the manager never got its startup signal.
Fix: hook session_manager.run() (an async context manager) into
Quart's @app.before_serving and @app.after_serving so the task group
is alive across the serving window.
The CI integration test was hitting the same crash because it drives
app.asgi_app raw without going through Quart's serving lifecycle —
@before_serving never fires. Updated the test to manually enter
session_manager.run() around the request.
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.