bvandeusenandClaude Opus 5 154a5de13e
CI & Build / Python lint (push) Successful in 3s
CI & Build / Plugin hooks (push) Successful in 9s
CI & Build / TypeScript typecheck (push) Successful in 22s
CI & Build / integration (push) Successful in 33s
CI & Build / Python tests (push) Failing after 48s
CI & Build / Build & push image (push) Skipped
fix(telemetry): both rule arms logged only their hits, so the clear-rate could only read 100% (#3497)
`write_path_rule` reported `zero_result_calls: 0` and `cleared_threshold:
133/133` — a perfect record no other surface comes near (`write_path` 421
zeroes of 613, `reuse_slot` 124/199, `auto_inject` 114/326). #3311 read that
as a measurement and milestone 333 was scoped on it.

It was an artifact. Both arms called `record_retrieval` inside a guard on
having results — the write-path arm behind `if fresh:`, the pre-tool arm
below `if not fresh: return out` — so a call that found nothing wrote no row.
The statistic was a fact about the shape of the code, true at any threshold
whatsoever.

The call log moves out of the guard in both arms. The surfacing log stays in
it: nothing was shown, so no surfacing occurred. `results=fresh` is kept
deliberately — the note arms pass exclusions into `semantic_search_notes`, so
what they log is already post-exclusion, and logging `hits` here would make
this row mean something other than every other row in the same readout.

The defect bites hardest on the pre-tool arm, which fires on every Bash call:
with no rows at all, a ranker that declined is indistinguishable from a hook
that never fired — the silent failure the arm exists to stop.

Tests cover both arms behaviourally (found nothing; found only what the
session already held; searched nothing at all, which must stay silent) plus a
structural guard, because this was one level of indentation and it appeared
independently in two places.

#3311 and the `rule_usage` docstring corrected rather than quietly rewritten.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ
2026-09-03 06:57:13 -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 (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
16 MiB
Languages
Python 72.7%
Vue 20.5%
TypeScript 4%
Shell 1.5%
CSS 1.2%