bvandeusen
4da29562bd
Frontend foundation for Issues + Systems (spec #825, S4a). - frontend/src/api/systems.ts: typed client (System + list/create/update/delete) over /api/projects/<id>/systems, matching the rulebooks api style. - frontend/src/stores/systems.ts: Pinia store keyed by project (fetch/create/ update/archive/unarchive/delete), toast-on-error. - frontend/src/components/SystemsSection.vue: a Systems management section — cards (color swatch, name, description, 'N open' issue-count badge) with inline create/edit, archive (hidden behind a 'show archived' toggle), and a delete-confirm modal. v1 quality: loading skeleton, empty state, error toasts, keyboard a11y, focus rings; reuses existing CSS tokens (no new colors). - ProjectView.vue: new 'Systems' tab (between Notes and Rules), rendering <SystemsSection :project-id>, wired like the existing rules tab. S4b (next) adds issue-editor controls (kind=issue/system multi-select/arose-from), open-issues lists, and the dashboard surface. NEEDS operator browser verification (CI typechecks but can't render). Refs plan 825 (S4a). 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.