Bryan Van Deusen
2fd914916f
Adds the MCP tools needed to debug the agentic briefing pipeline without waiting for scheduled slots to fire: - fable_list_briefings — list briefing conversations newest first - fable_get_today_briefing — fetch today's briefing with all messages - fable_get_briefing_messages(conv_id) — message list for a specific briefing conversation, including tool_calls with embedded results - fable_trigger_briefing(slot) — manually run a slot via POST /api/briefing/trigger (fires RSS/weather refresh, same as the scheduler) - fable_get_conversation(conv_id) — generic conversation read for chat or briefing threads, full messages + tool_calls + metadata All of these hit existing REST endpoints (/api/briefing/conversations, /api/briefing/conversations/<id>/messages, /api/briefing/trigger, /api/chat/conversations/<id>) so no API surface changed — the gap was purely on the MCP side. Bearer token auth works across both blueprints because login_required already accepts API keys. Enables a full "trigger → inspect → tune prompt → repeat" loop from Claude without touching the UI, which is necessary for iterating on agentic briefing prompts when the scheduled slot is hours away. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Fabled Assistant
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.