bvandeusenandClaude Opus 5 104c1d6f37
CI & Build / Python lint (push) Successful in 3s
CI & Build / Plugin hooks (push) Successful in 9s
CI & Build / integration (push) Successful in 50s
CI & Build / TypeScript typecheck (push) Successful in 55s
CI & Build / Python tests (push) Successful in 1m34s
CI & Build / Build & push image (push) Successful in 43s
feat(plugin): a recognized retrieval miss has a route, and the record comes first (#4133)
The tuning loop shipped in steps 4 and 6 and logged zero events in its
lifetime. `tune_retrieval`, `retrieval_telemetry` and `retrieval_surfaces`
appeared on no instruction surface at all — not the skills, not the hooks,
not the MCP instructions — so the decision that "the model should be the
thing handling it 9 times out of 10" could not begin to happen.

What was missing was not an auditor but a route. `using-scribe` now carries
it, ordered: read the refused records, fix the trigger, and only then
consider the dial. The order is the content. A rule's `when_to_apply` IS
the text its score is computed against, so a miss is evidence about that
text first; rewording one trigger changes one rule's reach, while moving a
floor changes what every record on the surface does and cannot tell a
badly-worded trigger from a genuinely distant one.

Measured, and the reason the order is asserted rather than suggested: rule
1 scored 0.6515 and ranked 5th for the moment it governed, behind three
rules that restrained the same act. Every percentile said "lower the
floor"; at 0.60 the arm delivered those three restraints and still not rule
1. Rewriting the trigger to lead with the symptom put it 1st at 0.7130.

Also: the create path gets a precondition. A new record is itself a
retrieval-affecting act, so before writing one, what_might_apply asks what
already covers that moment — fifty candidates and no bar, because a bar is
what lets the existing record hide.

`_INSTRUCTIONS` gets one index line, not the route: 1,986 of 2,000
characters, since Claude Code cuts the rest mid-word (#2562).

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01821k5B3Ysecp9fNYs92Kuy
2026-09-18 00:37:04 -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 (with an inception step that decides what each project inherits), 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.

S
Description
No description provided
Readme
17 MiB
Languages
Python 75.3%
Vue 18%
TypeScript 3.4%
Shell 2.1%
CSS 1.1%