bvandeusen
d11eb9145b
The SessionStart push channel was single-tier: it curled /api/plugin/context with a Bearer token and, on any failure (missing/unexported token, network error, missing curl), injected nothing and exited 0 — silently. A known upstream Claude Code gap (sensitive userConfig not reliably exported to hook subprocesses) trips this routinely, so a fresh session gets no signal to reach for Scribe and falls back to local file-memory (root cause of unlogged work on remote/rc sessions). Split into two tiers: - Tier 1 (static, keyless, networkless, always fires): inject bundled scribe_static_context.md — the load-bearing behavioral mandate. Cannot be suppressed by the upstream key bug. - Tier 2 (dynamic, best-effort, fails open): existing curl for live rules + active-project context, appended below the static block. Lights up as enrichment once the key reaches the hook. Only jq is now required (JSON envelope); curl/token gate the dynamic tier only. Bump plugin 0.1.5 -> 0.1.6 so clients pick up the change. Refs milestone 55; task 809; decision note 810. 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.