Per the surface-phase spec for the Project list, Project view, and
3-panel Workspace cluster:
Button reclassification per Hybrid rule
- ProjectView:
- btn-workspace ("Open Workspace"): kept on accent gradient — the
workspace is the project's central feature moment, a Scribe-
flavored action, brand moment per the doc.
- btn-share: muted-outline → Bronze action-secondary
- btn-danger-outline (Delete project): generic-border + danger-on-
hover → Oxblood outline + filled hover (proper destructive)
- btn-save-panel: accent gradient → Moss action-primary
- btn-ms-confirm (milestone confirm): flat accent → Moss
- btn-ms-cancel: ghost → Bronze action-secondary
- .modal-btn-danger: --color-danger → --color-action-destructive
- ProjectListView:
- btn-primary ("+ New Project"): flat accent → Moss action-primary.
Empty-state CTA (.empty-action) keeps accent — that *is* a
brand moment per Hybrid, "create your first project".
- WorkspaceTaskPanel + WorkspaceNoteEditor:
- btn-delete-task / btn-delete: hover --color-danger → Oxblood
- btn-delete-confirm / btn-confirm-delete: --color-danger pair →
--color-action-destructive pair, with filled hover for stronger
affordance
- btn-save (WorkspaceNoteEditor): flat accent → Moss
- WorkspaceChatWidget:
- History toggle: replaced unicode ▾ with Lucide ChevronDown
(PR 1 carry-over for emoji-as-icon)
Two-weights-only
- Snapped every font-weight 600/700 to 500 across the cluster.
Borders kept (per structural-not-decorative rule)
- Milestone group cards: standalone containers, keep
- Project cards in list: standalone containers, keep
- Task slide-over panel: drawer modal, keep
- Workspace 3-panel separators: major section dividers, keep
Co-Authored-By: Claude Opus 4.7 <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.