bvandeusen
85e0501705
Second slice of Issues + Systems (spec #825). New mcp/tools/systems.py: create_system, list_systems, get_system (records split into issues/tasks/notes), update_system (incl. archive via status), list_system_records (kind/open_only filters), delete_system. Registered in register_all; read tools (get_system, list_systems, list_system_records) added to the read-only-key allowlist (write tools default-deny). create_task/update_task: kind now accepts 'issue'; new system_ids (set-semantics associations) and arose_from_id (provenance, 0=unchanged/-1=clear) args. create_note/update_note: new system_ids arg (notes associate with systems too). services/notes.create_note: arose_from_id passthrough (update_note already handles it via setattr). Tests: MCP system tools + create_task issue-wiring (kind/provenance/systems), service layer mocked. Refs plan 825 (S2). 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.