bvandeusen
95e1d47ceb
The MCP instructions are domain-neutral except a thin layer of dev vocabulary and one project-specific paragraph (B10 audit, task 812). Make the data store's own instructions serve any domain, and add the missing positive write-mandate. B9 (neutralize): - 'before writing code' -> 'before you dive in' - Note examples 'dev-logs' -> 'logs of what happened' - record trigger 'a merge, a shipped feature, a finished plan' + 'dev-log note' -> 'finishing a task, or hitting/discovering a problem that changes direction' (folds in B8: log pivots, not just wins; mirrors the static-tier wording) - recall examples 'ticket/dev-log' -> 'task/prior note' (server + SKILL.md) - 'Engineering and workflow rules' -> 'Workflow and standards rules' - slim the 'developing Scribe itself' ACL paragraph to a neutral one-liner (project-specific specifics already live in rules #47/#78) A4 (write-mandate): state up front that Scribe is the system of record — record work here, recall before acting, don't keep project work in local files. Refs plan 812 (B9, A4, B8-trigger); B10 audit work-log. Co-Authored-By: Claude Opus 4.8 (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, 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.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 |
License
This project is privately maintained.