bvandeusen
b91c447b0b
First slice of the Issues + Systems feature (spec #825, plan #819 T2). Schema (migration 0065): - task_kind CHECK expands work|plan -> work|plan|issue (same-change, rule 36) - notes.arose_from_id: optional self-FK for issue->originating-task provenance (distinct from parent_id sub-task hierarchy) - systems: per-project, self-describing (name + description) subsystem/area - record_systems: M2M join linking any note/task/issue to systems (mutable) Models: System + RecordSystem; note.py gains arose_from_id (+ index, to_dict). Service services/systems.py: CRUD, archive, soft-delete, set/list associations, records-for-system, open-issue count — all gated via services/access.py project permissions (rule 78, no bare-owner filters). Unit tests lock the ACL gating; the migration is exercised by CI's integration lane (alembic upgrade head). is_task stays a derived property (status is not None) — unchanged. T1 (typing- axis rationalization) intentionally NOT bundled; this only adds the enum value. Refs plan 825 (S1). 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.