Step 1 made placement cheap for a task whose status CHANGES: create_task and update_task return where it sits, and the report is written from that. It did nothing for a task a reply merely cites. This milestone's own step-6 review reported "#4014 is the open step of milestone 409". #4014 had been done for four days; the open step was #4015. The id did not come from a read — it came from a retrieval hint, which carries an id, a kind and a title and says nothing about status, while list_milestones said "8 of 9" and would not say which one. The gap was there to be filled and the nearest-looking id filled it. Two surfaces, one principle: the status arrives with the id. 1. get_project_milestone_summaries gains next_step — the earliest open step, {id, title, status} or None — carried through _BRIEF_FIELDS to enter_project, get_project and list_milestones. One extra flat query for the whole batch, so #2384's fan-out does not come back. OPEN_STEP_STATUSES moves to services/milestones.py and placement.py imports it; both surfaces now answer "what is next" and must not drift on what counts as open. Both step queries take the same readable_notes_clause (rule 78), so a row cannot name a step its own progress numbers exclude. 2. _record_kind renders a task's status: [task (done)], [issue (todo)]. A finished step and an open one read identically before, which is exactly the line the misreport was taken from. Only tasks — is_task IS status-is-not-None on the model, so there is no fallback branch. reporting-back gains the practice, owned and registered in the guidance ownership table: a record you only mention is a record to read. The guards are structural and each fails on the regression it names: the query count is asserted rather than the payload shape, and the two surfaces' agreement is pinned on the rendered ORDER BY, since a mocked session hands back whatever order the test chose. Co-Authored-By: Claude Opus 5 <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.