bvandeusen
593d737e26
Three visual improvements for the briefing conversation: 1. Intermediate tool-call messages (empty content, briefing_intermediate: true) now render as a compact dashed status row with per-tool pills showing result counts, instead of an empty assistant bubble followed by a stack of ToolCallCards. Click to expand the full cards. 2. Slot badge on non-intermediate briefing messages — "Full Briefing" for compilation, "Morning/Midday/Afternoon Update" for slot injections. Slot updates get a softer bubble treatment (transparent background, muted border, smaller text) so the compilation stays visually dominant. 3. Slot separator now triggers on briefing_slot metadata (not the compilation-only rss_item_ids), and uses a look-behind so it only fires when there's a prior slot message — no separator above the first briefing of the day. New component: BriefingToolStatusRow.vue handles the intermediate pill row and delegates to ToolCallCard when expanded. Co-Authored-By: Claude Opus 4.6 <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.