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Open standard for designing AI-native work, software, harnesses, and organizations

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DeepRail

The open standard for designing AI-native work, software, and organizations.

CI Release Python License: MIT / CC BY 4.0

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.

Start

Python 3.10 or newer is required. For runtime use, install the package in a virtual environment:

python3 -m venv .venv
source .venv/bin/activate
pip install -e .
deeprail init --target /path/to/project --profile lightweight --communication en --artifacts en --adapter generic

Validate

For 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

Release Status

  • 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

Authorship and the public-content boundary are documented in AUTHORSHIP.md.

About

Open standard for designing AI-native work, software, harnesses, and organizations

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