bvandeusen
4f22646c88
Third slice of Issues + Systems (spec #825). routes/systems.py (nested /api/projects/<id>/...): GET/POST systems (list adds per-system open_issue_count via one grouped query), GET/PATCH/DELETE a system (GET returns records split into issues/tasks/notes), GET .../systems/<id>/records (kind/open_only filters), GET .../issues (project's open issues for the project view + dashboard roll-up). login_required; project access via get_project_for_user; writes gated by can_write_project (clean 403); system.project_id verified to match the path. Blueprint registered in app.py. services/systems.py: + open_issue_counts_by_system (one grouped query) and list_issues (project issues, open by default). Tests: structural (blueprint registered + in app, handlers callable, service contracts take user_id) — matches the house route-test pattern. Refs plan 825 (S3). Co-Authored-By: Claude Opus 4.8 (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, and an MCP server for external AI clients.
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 |
License
This project is privately maintained.