bvandeusen c5469214e3
CI & Build / Python lint (push) Successful in 3s
CI & Build / TypeScript typecheck (push) Failing after 4s
CI & Build / Python tests (push) Successful in 49s
CI & Build / Build & push image (push) Has been skipped
feat(rules): enter_project handshake (S4)
New enter_project(project_id) MCP tool composes get_project +
get_applicable_rules + get_project_milestone_summary + recent
open-tasks + recent notes into one round-trip, intended to be called
at session start (or whenever the active project changes) so Claude
has the full project context loaded before it starts mutating.

_INSTRUCTIONS now points Claude at enter_project for project-scoped
work, alongside the existing list_always_on_rules instruction. No
schema change; pure composition over existing services.

Closes the four-slice rules-consolidation plan (Scribe task #508):
S1+S2 (always_on flag + Scribe-first prompt, 658348f), S3 (project-
scoped rules, 43a860c), and now S4.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-01 01:14:37 -04:00

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.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

License

This project is privately maintained.

S
Description
No description provided
Readme 14 MiB
v26.06.03 Latest
2026-06-03 12:51:04 -04:00
Languages
Python 53.7%
Vue 38.1%
TypeScript 5.8%
CSS 1.4%
Shell 0.8%