bvandeusen
4faaa5246b
Inspection showed only ONE record_moment call across the entire day's journal — and that one had hallucinated person_ids. Multiple clear beats went uncaptured: AP installation, going to watch a show with daughter, decompressing-with-game. The prior calibration said "use record_moment freely for meaningful beats" — too soft. The model treated it as optional, especially when already in chatbot-reply mode. Rewritten: record_moment is now framed as the model's PRIMARY JOB. The calibration includes an explicit checklist of what counts as a beat (event, encounter, decision, observation, plan, feeling, accomplishment) and an explicit instruction to call record_moment FIRST, before composing the reply. Multiple beats → multiple calls. The ONLY skip case spelled out: purely meta-conversational messages (acknowledgements, meta-asks about prior tool results). Tests on a fresh conversation will tell us if this moves the needle — today's journal is poisoned by ten prior chatbot-flavored turns that the model is pattern-matching against in its own history. 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.