Every gate on create_rule and create_project_rule was about SHAPE — rule vs process vs snippet, one-thing-you-could-violate, general-enough, not-a-dupe. All of them improve a rule someone has already decided to write. None asked the prior question: has the person this will bind agreed to be bound by it? Both docstrings now open with the gate, and with the four things a proposal carries: what it would require in the words it would carry, its intent, why now, and how it would be enforced. The fourth is the one that decides it. "A test, a CI check, a hook, a schema constraint... or nothing" is a question that sometimes dissolves the rule: what a test can assert should BE that test, and a rule is what is left when nothing mechanical can hold the thing. A rulebook grows by default and shrinks only on purpose. create_project_rule needs the gate more, not less, and says so: a project rule is absent from an unfiltered list_rules(), and a conditional one is absent from session start too, so one written there can bind for months without ever having been in front of the person it binds. test_rule_creation_asks_first pins structure, never wording — each element matches a family of synonyms, and the gate must precede the Args: block, because a caller who has decided to make the call reads the parameters and not the prose under them. Co-Authored-By: Claude Opus 5 (1M context) <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.