The chat generation pipeline previously forced think=True unconditionally to match qwen3's combined think+tools template, locking the system into that model family. Bench data (2026-05-21, qwen3:30b-a3b/qwen3:32b on CPU) showed thinking adds 1-2 minutes per turn for unclear quality benefit — qwen3:30b-a3b even produced more rambling with think on. This decouples think from the model family by reading a per-user `think_enabled` setting (default `false`). Non-qwen3 models can now run through the same pipeline without the silent-generation failure mode that content-gated thinking would have caused — they just don't think. qwen3 users who still want thinking can opt in via the Settings UI. Settings UI: - New "Enable model thinking" checkbox in General → Assistant section. - Help text explains the default-off rationale and when to opt in. - Persists via the existing settings API; no schema migration needed (Setting is key/value text). Telemetry to confirm whether this regresses tool-call reliability on qwen3 (the current model) is in a follow-up commit (generation_tool_log). Co-Authored-By: Claude Opus 4.7 (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, 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.