bvandeusen
3f1bcc3360
Migrate to the FabledRulebook CI-Runner contract: - .forgejo/workflows/ci.yml: all four jobs (typecheck/lint/test/build) now schedule on the `python-ci` runner label and run inside container.image: git.fabledsword.com/bvandeusen/ci-python:3.14 (Python 3.14 + Node 24 + ruff + uv + Docker CLI). Dropped the inline uv install in the test job — uv is now baked into the image. - Dockerfile: production runtime bumped to python:3.14-slim so test results stay representative against what we ship. - ci-requirements.md: new file at repo root declaring image deps and per-job installs (per FabledRulebook ci-runners.md). - infra/Dockerfile.runner-base: deleted. The in-repo runner base (Ubuntu 24.04 + Python 3.12 + Node 22) is superseded by the shared ci-python image. The runner-host deployment files (runner-compose.yml + act-runner-config.yml) stay as deployment-shape documentation; source of truth is the deployed config. - docs/development.md: CI/CD + Runner sections refreshed. 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.