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feat(telemetry): ambient surfacings count, apart — enter_project and the skill sync emit
#2477, option (a) as decided, with the readout changed in the same commit.

## The two silent surfaces

enter_project returns open tasks + recent notes on every project entry —
probably the largest surfacing by volume — and emitted nothing, so the pulls
it caused floated unattributed and the surfaced:pulled ratio ran against a
denominator missing its biggest contributor. Now source "enter_project".

build_process_manifest installs every reachable Process as an auto-surfacing
skill on the operator's machine — its own docstring calls it the most
consequential passive surface Scribe has — and emitted nothing, so a Process
matched on every relevant turn and never opened was indistinguishable from
one never installed. Now source "process_skill_sync": the honest event is
"installed", which is a surfacing in effect since the description sits in
front of the model each session.

## The readout, same commit — the condition option (a) carried

Both surfaces are AMBIENT: top-N-by-recency and install-everything are not
ranked choices. Pooling them into surfaced_count would make a note's number
dominated by "recently updated in a project you opened", and dead-weight
detection would read that as popularity — the wrong number read confidently,
which is the corrupts-data tier the survey ranked above everything else.

So usage_for_notes splits: surfaced_count stays RANKED-ONLY (every existing
consumer's reading — "surfaced often, never pulled → dead weight" — keeps
meaning what it meant), and ambient_count is new. Classified in SQL via a
CASE on AMBIENT_SOURCES so the group count stays three rows per note, not one
per distinct source. Pulls stay pooled: "did anyone ever open this?" does not
depend on how it was found.

#1038 and #2085 read agent pulls and ranked surfacings; both are unaffected
by ambient volume, which is the point.

Refs #2477
2026-08-08 22:39:13 -04:00

Fabled Scribe

A self-hosted work system-of-record for software projects, built to be driven by Claude Code. Notes, tasks, issues, projects, milestones, rules, and stored processes — reachable from Claude via a built-in MCP endpoint and a bundled Claude Code plugin, with a clean web UI for humans. No in-app LLM; Claude is the sole assistant.

Features

Notes and tasks with a Markdown editor, sub-tasks, milestones, issues, and kanban project workspaces. Stored processes, an engineering rulebook system, and semantic search with proactive knowledge-injection into Claude's context. A knowledge graph, per-user/group sharing, and a built-in MCP server (/mcp) plus a bundled Claude Code plugin so Claude can record and recall your work directly.

Quick Start

Prerequisites: Docker and Docker Compose. No GPU or local model needed — Claude is the sole assistant, reached over MCP.

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. To connect Claude, create an API key under Settings → API Keys and install the Claude Code plugin — see API Keys & MCP.

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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