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feat(plugin): compaction-hygiene guidance — recommend safe compaction at seams
#834. The pre-compaction complement to the shipped post-compaction re-grounding
banner. Because Scribe records progress as you go (task status, work-logs,
decision notes), a compaction at a clean work-seam is lossless — so guide the
model to recommend it proactively rather than letting auto-compact fire mid-task.

Placed in the ALWAYS-loaded channels (operator wants it consistently in context,
not relevance-gated like a skill): MCP _INSTRUCTIONS (every handshake) + the
static SessionStart floor (every session, MCP-independent). Behavior: at the end
of a block of work in a long session, ensure in-flight state is logged, then tell
the operator it's a safe moment to /compact (naming what was logged); recommend
at seams, not every turn; the model can't run /compact itself.

plugin.json 0.1.8 → 0.1.9 so clients re-pull the static-context change.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 15:41:24 -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.

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