Final cleanup phase of the MCP-first pivot.
docker-compose:
- docker-compose.yml: drop ollama service + OLLAMA_URL/MODEL env vars +
IMAGE_CACHE / VAPID env comments
- docker-compose.prod.yml: drop ollama service + Ollama env + GPU
reservation
- docker-compose.quickstart.yml: drop ollama service + Ollama env +
GPU-reservation comment; quickstart instructions now point at the
MCP Access tab instead of model-pull
Config:
- Drop OLLAMA_URL, OLLAMA_MODEL, OLLAMA_BACKGROUND_MODEL,
OLLAMA_KEEP_ALIVE_*, OLLAMA_NUM_CTX, EMBEDDING_MODEL (fastembed
is hard-coded inside services/embeddings.py)
- Drop IMAGE_CACHE_DIR, IMAGE_MAX_BYTES (image cache subsystem
deleted)
- Drop VAPID_PRIVATE_KEY, VAPID_PUBLIC_KEY, VAPID_CLAIMS_SUB (push
deleted in phase 8)
- Drop VOICE_ENABLED, STT_BACKEND, STT_MODEL, TTS_BACKEND (voice
deleted in phase 8)
- Drop Config.validate() rules for those keys
Image cache deletion:
- services/images.py, routes/images.py, models/image_cache.py
- models/__init__.py: drop ImageCache import
- app.py: drop images_bp registration
- alembic/versions/0054_drop_image_cache.py: DROP TABLE image_cache
Frontend client.ts orphan exports stripped:
- getVoiceStatus, getVoiceList, getVoiceLibrary, installVoice,
uninstallVoice, transcribeAudio, synthesiseSpeech,
VoiceStatusResult / VoiceEntry / VoiceLibraryEntry types
- getJournalConfig, saveJournalConfig, getJournalToday/Day/Days,
triggerJournalPrep, runJournalCurator, listPendingActions,
approvePendingAction, rejectPendingAction, listJournalMoments,
updateJournalMoment, deleteJournalMoment, geocodeAddress
- JournalConfig / JournalLocation / JournalConversation /
JournalMessage / JournalDayPayload / JournalMoment /
CuratorRunResult / PendingCuratorAction types
- consolidateProfile, clearProfileObservations, listProfileObservations
- ProfileObservationEntry, learned_summary/observations_* fields on
UserProfile
- consolidateTask (cascading update to TaskEditorView)
- getFableMcpInfo, getNewsItems, GetNewsItemsParams, NewsItem import
TaskEditorView:
- Drop the auto-summary banner + Re-consolidate button
- Drop isBodyAutoMaintained gate (editor is always user-controlled now)
- Drop reconsolidate function + reconsolidating ref
SettingsView:
- profile ref no longer initialises learned_summary /
observations_count / observations_updated_at (those fields are
gone from UserProfile type)
Surviving frontend composables/components flagged for likely future
cleanup but not deleted in this commit (no compile errors, just
unreferenced after Phase 7-8):
- useAssist, useFloatingAssist, useTagSuggestions, useVad,
useListenMode, useOnnxPreloader (composables)
- WorkspaceNoteEditor, WorkspaceTaskPanel, WeatherCard, InlineAssistPanel
(components)
- api/client.ts still references /api/notes/assist/* and
/api/notes/suggest-tags via useAssist + useTagSuggestions — those
endpoints 404 now but no caller hits them; dead at runtime, harmless.
Compose stack collapses to two services: `app` + `db`. No Ollama, no
voice models, no fable-mcp wheel build. First-boot install reduces to:
docker compose up -d
→ visit web UI → register → Settings → MCP Access → copy snippet
→ claude mcp add … → done.
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.