Groundwork for the step's real change. The operator's decision is that the floor is chosen and adjusted by the model using it, not shipped as a value somebody has to defend: "we need a model consistent surface for the adjustment of these floor values. the user should be able to touch it but the model should be the thing handling it 9 times out of 10." A tuning surface cannot be consistent across six arms that each spell their configuration differently, so the arms stop owning their numbers. `retrieval_surfaces.SURFACES` names each one, its floor key and default, its budget key and default, and — because they are rendered by the tuning tool and the Settings UI — what it asks, over what corpus, and how often it fires. A floor cannot be moved responsibly by anyone who does not know those three. Three things fall out: - **`k` becomes a real budget everywhere.** Only auto-inject had a configurable one; `RULEHINT_LIMIT`, `PROMPTRULE_LIMIT` and `reply_preferences.LIMIT` were constants. `k` is what binds under a low floor, so it has to be settable per surface — and per surface is the point, since `pre_tool_rule` fires before every Bash call while `prompt_rule` fires once a turn. - **`write_path` gets its own budget, inherited not reset.** It shared auto-inject's outright on the argument that "how many titles at once" means the same thing on both. It does not, for the same reason. Unset, it still reads auto-inject's key, so an install that tuned the shared knob does not silently drop to a new default. - **The duplicated read-and-clamp goes.** That shape is canon #2860 across 295 of 372 judged siblings. Survivable while the numbers were constants; not once they are meant to move. The long measurement comments stay exactly where they are — #2223's noise-floor probe, #3853's command-vs-code split, #3851's band measurement. The constants they annotate now alias the registry, so there is one value and the reasoning still sits beside it. Tests build the write-path config from the registry (`helpers.writepath_cfg`) instead of from hand-written dicts. That is not tidiness: the rule arms read their numbers inside a fail-open `except`, so a dict missing one key does not raise where a reader would see it — the arm silently becomes a no-op that reads exactly like "fired and found nothing". Ten hand-written dicts each looked complete on the day they were typed. tests/test_retrieval_surfaces.py pins the identity everything rests on: a surface's name IS its telemetry source. Nothing in the type system says so — `record_retrieval(source="pre_tool_rule")` is a literal in another file — and renaming one without the other yields an arm that can be tuned and not measured, or measured and not tuned, with no symptom either way. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01821k5B3Ysecp9fNYs92Kuy
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.