`cleared_threshold` was documented as the number to read first. It was a tautology. The search applies the threshold before returning, so every returned result cleared it by construction and a call with no results has no top_score to compare — the condition was true exactly when `result_count > 0`. It was `calls - zero_result_calls` under a name that promised a second opinion, and `zero + cleared == calls` held on all nineteen source/window readings ever taken, today's live seven included. The reading procedure built on it asked the reader to compare a number with itself, and a threshold change was unobservable through it: raise the bar and both numbers move together, so the field could never show a bar set too high. REPLACED, NOT JUST REMOVED. The question the table exists to answer is whether the bar is in the right place, and that is only answerable from the calls that returned NOTHING: how close did the best rejected candidate come? A 0.72 bar turning away a stream of 0.71s is set too high by a hair; the same bar turning away 0.30s is working. Both render as a zero-result call today and nothing separates them, because the losing score is discarded inside the search. So both searches now rank WITHOUT the bar and apply it in Python. The qualifying set is provably identical — rows arrive ordered by distance, so every above-bar row sorts ahead of every below-bar one, and an over-fetch that returned N above-bar rows returns the same N plus some losers. What changes is that the losers are visible instead of dropped in the query. `report` carries the score out without changing what a search RETURNS: eight of eleven call sites want hits and nothing else. New column (migration 0096), nullable and unbackfilled. A row written before this genuinely does not know, and a 0.0 would read as "the corpus held nothing remotely relevant" — a claim invented out of a caller's silence, which is the substitution this whole milestone corrects. The new aggregate is a percentile_cont WITHIN GROUP over a CASE, one step from the shape that produced #2663, where a rejected query was swallowed by the broad except and every counter read zero. It carries an integration guard for that reason: only real Postgres can say it parses, and the symptom of failure is silence. Also adds a guard that no int field in a bucket equals `calls - zero_result_calls`. That identity is what `cleared_threshold` satisfied for its whole life, and it survived because it had its own name and nobody added the two numbers beside it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ
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.