bvandeusen 782f36ed51 fix(llm): surface Ollama error body; refresh pre-gemma3 summaries
Two small hardening fixes from the mistral-nemo testing round:

1. stream_chat / stream_chat_with_tools now read the Ollama response
   body and log it before raising on non-2xx. Previously all we saw
   was 'HTTP 400 Bad Request' — the gemma3-no-tools failure would
   have been diagnosed in one step if we'd been logging the body,
   which says e.g. 'model does not support tools'.

2. backfill_project_summaries() now also targets summaries stamped
   before 2026-04-12 (the gemma3:4b cutover). The remaining projects
   still carrying the broken qwen2.5:3b output (token repetition,
   hallucinated topics) will regenerate on next startup on the
   better model.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-12 22:13:21 -04:00

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.yml to 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.

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