The open standard for designing AI-native work, software, and organizations.
v0.16.8 — Public Release. The Japanese Standard projection is canonical; English normative modules are published as Preview.
DeepRail now connects the long-form Book to problem diagnostics, stable Standard modules, actor-neutral workflows, a stateful evidence-gated runtime, thin agent adapters, audit history, and reinvestment.
Python 3.10 or newer is required. For runtime use, install the package in a virtual environment:
- Japanese Book — 45 chapters + ending
- Japanese 10-minute Quickstart
- Diagnostic
- English Quickstart
- Standard
- Workflows
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
deeprail init --target /path/to/project --profile lightweight --communication en --artifacts en --adapter genericFor the full repository validation commands below, install the development extras first:
pip install -e ".[dev]"
./scripts/generate
./scripts/check
python3 -m unittest discover -s tests -v
python3 -m build
./scripts/build-dist- Public release: v0.16.8
- Canonical Standard projection: Japanese (
ja), DR-M01〜DR-M25 - English Standard projection: Preview; normative module translation is planned for a later release
- Runtime communication and artifact output: Japanese and English
- Software license: MIT
- Documentation license: CC BY 4.0
- License scope: LICENSE-BOUNDARY.md
- Release history: CHANGELOG.md
- Support: GitHub Issues · Security
Authorship and the public-content boundary are documented in AUTHORSHIP.md.