Drift-audit Group 3 (soft-delete lifecycle gaps). Trashed rows were leaking into reads and being mutated/resurrected by writes: - update SELECTs now exclude trashed rows: update_milestone, update_project, update_event, and get_milestone_in_project (the latter backs all four milestone routes). Mutating a trashed row silently persisted and reappeared on restore. - MCP get_recent (notes/projects/events) and list_tags now filter deleted_at IS NULL, so trashed items stop surfacing in the agent's bootstrap context and tag counts. - convert_task_to_note clears recurrence_rule + recurrence_next_spawn_at so a demoted note can't spawn children via the (now-live) sweep. - caldav pull skips locally-trashed events (by caldav_uid) instead of resurrecting them via update or creating a duplicate live copy. - trash _cascade now stamps the FULL sub-task subtree (iterative descent), not just direct children, so deeply nested sub-tasks restore as one batch. Test updated for the new descent query. 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.