bvandeusenandClaude Fable 5 942edd1eb5
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feat(ledger): classify_shapes + list_shapes MCP tools; get_snippet carries the consumer map (#2789, milestone 294 step 3)
The judgment write path. classify_shapes applies a batch of classifications
to a project's live ledger rows — all-or-nothing (#2709's lesson: the whole
batch is validated, write-ACL'd, and every snippet target proven readable
before any row is touched); rows match by exact (path, symbol), kind narrows,
and shapes no live row matches come back as 'unmatched' rather than errors.
variant/exempt REQUIRE the reason — the why is the record (note 2786) — and
'unclassified' deliberately withdraws a judgment back to the todo. The 'via'
channel is caller-restricted to agent|audit|import; hook and mechanical stay
server-internal so a caller can't launder judgment as machinery.

list_shapes is the todo query (status=unclassified) with composable filters:
path is exact-or-under like recorded locations, snippet_id reads a consumer
map, include_vanished reads history; paged with the true total.

get_snippet now attaches  and  — the structured consumer
map, filtered to projects the CALLER can read so a shared snippet never side-
channels another project's file layout; attached only when non-empty (#2483).

Integration tests pin the batch atomicity, ACL gates, filter composition, the
consumer map on the MCP pull, and the SET NULL companion: a judgment whose
snippet was purged rejoins the todo on the next sync.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-19 19:55:47 -04:00

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.

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