bvandeusen
dd1b5e5ddb
"What canonical helpers already live in this file?" was unanswerable: location lived only in the body markdown. It is now a jsonpath containment query over the `notes.data` mirror added by migration 0070. - One predicate in two dialects in services/knowledge.py: SQL (`data @?`, applied in the browse arm and the keyword arm before count/pagination, so totals stay honest) and Python (`location_matches`, for the semantic arm which post-filters candidates it already holds). Both must change together. - Parts are ANDed within a SINGLE locations entry — repo A in one entry and path B in another is not "recorded at A/B". `path` also matches as a directory prefix, via jsonpath `starts with` rather than `@>`, which the same GIN index serves. - `repo`/`path`/`symbol` reach the service, the REST list and the MCP tool under one name with one default (rule #33); the MCP docstring teaches the place form, and so does the reusing-code skill (plugin.json bumped). - UI: a Location disclosure beside the snippet search, with its own empty state — "nothing kept there, so what you're about to write is new." Settles #2083's open question (pre-0070 NULL `data`) by backfilling after all: `backfill_snippet_data` runs at startup, deriving the mirror from the body with the same parser the read path trusts. 0070's caution was about mangling a hand-edited body; this never touches the body. The alternative was a permanent second body-regex arm, or a query that silently answers "nothing here" for an old snippet and gets the helper written twice. Refs #2083, milestone #232.
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.