Implements #2242, from the operator's question: would it make more sense to search by the concept of the snippet than by the code itself? It would, measurably. A snippet's embedded text is f"{title}\n{body}", and a snippet's body is composed markdown — When to use / Signature / Location, then the fenced code — so `when_to_use` appears TWICE in the vector and the document is prose-forward. The semantic arm was interrogating it with raw code carrying no prose at all. Measured on the deployed instance against snippet #2222: query built from score best unrelated separation raw code body 0.743 0.630 0.11 name + docstring 0.823 0.602 0.22 hand-written concept prose 0.835 0.583 0.25 A 12-word description beats a near-verbatim reimplementation of the function, and code-as-query RAISES the noise floor. It's also the cleanest explanation for the fragment miss recorded on #2223: a short excerpt carries almost no prose to match a document that is mostly prose. So build the query from what the code says it's FOR — declarations plus the first docstring / JSDoc / leading comment block — shaped as "name(params) — what it does", mirroring a snippet's own title, which is the form that measured 0.823. Server-side rather than in the hook: no manifest bump, so installed 0.1.20 plugins get this immediately; multi-language parsing in bash would be miserable; and it's unit-testable here. Two rules worth calling out, both measured rather than chosen: - NO DOC, NO REWRITE. A bare identifier is not a concept and scored 0.671 vs the code body's 0.743. Separation from noise is identical either way (0.113), but the absolute drops under the 0.68 bar, so preferring a bare name would convert a comfortable hit into a miss. Undocumented code keeps the raw payload. - The 48-char floor still judges the RAW payload, before the rewrite. A concept query is allowed to be shorter than the floor — that is the point, the best queries are short — but a sub-floor edit stays silent even with a docstring. Applying the floor after extraction would discard the best queries. Regex, not a parser: this is on a PreToolUse critical path and an Edit's new_string is rarely a valid module, so a miss must cost only a fallback. Every unrecognised language (Vue SFC, config files) degrades to exactly the previous behaviour. Telemetry now logs the concept query rather than the code, since retrieval_logs is what the threshold gets tuned from and the two aren't comparable. 0.68 is left alone: signal rises to 0.82 while noise FALLS to 0.58, so the bar sits mid-gap instead of near the edge. To be re-measured against the deployed instance rather than assumed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs
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.