bvandeusen
85b212fbf2
Chat and background model roles effectively swapped during the conversation+curator pivot, but call sites still used OLD routing. This commit re-routes each call to the model whose new role fits. Moved to background_model (worker — heavy, deliberate): - services/journal_prep.py: daily prep generation. - services/user_profile.py: observation consolidation. Moved to default_model (chat — small, fast): - services/chat.py save_response_as_note: note title generation. - services/tag_suggestions.py: tag suggestions. Already routed correctly (unchanged): curator, closeout, consolidation, project summaries, history summarization. SettingsView.vue: help text rewritten for both model fields to describe new roles. Background Model UI label renamed to Worker Model so the heavier role is visible from the picker. Warning copy updated to recommend OLLAMA_MAX_LOADED_MODELS=2+ so chat and worker can stay loaded simultaneously. Schema names default_model and background_model unchanged on purpose (renaming requires migration + touches ~50 call sites for UX-only gain). 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.