About Datarim

An open-source AI workflow framework by Arcanada

What is Datarim

Datarim structures project work through Claude Code, Codex, and Cursor agents: define requirements, plan, implement, verify the outcome, and preserve lessons.

The name comes from the Latin root behind both datarium ("a store of data, a place for data") and dator ("a giver, one who gives") — not a passive vault of knowledge, but a store that gives the right data at the right moment. A store that gives.

Use it for development, research, documentation, content, and other work that can be completed in stages.

The catalogue contains 19 agents, 29 commands, and 80 skills. Orchestration coordinates roles, /dr-auto drives staged work, /dr-quick reduces preparation for tiny tasks, and Jev advises on mode and model tier. The full /dr-auto route stops after compliance; archiving is separate.

Datarim 4.3.7 lets you choose reply and document languages separately: language.replies and language.artifacts both default to en. Personal and project preferences change without reinstalling; standalone reporting uses the same settings. Native client rules and security retain authority.

Standalone reporting 0.3.1 adds synchronous SessionStart for supported Codex and Claude Code clients; review a new Codex definition through /hooks. Installation checks do not establish activation or the language of the first message. A generated note inside a reply follows artifact language, while its surrounding explanation follows reply language; explicit bilingual requests and verbatim input retain their exceptions.

Datarim for everyone — a short introduction.

In 4.3.7, Human Outcome Reporting connects a readable explanation to the request and evidence. /dr-explain restates an existing result without execution. Standalone reporting can be installed without the framework.

How the trust loop works

/dr-verify

Three verification layers: a deterministic floor, isolated peer review, and read-only dispatch in the active runtime.

Governed self-learning

Reflection proposes improvements, but nothing reaches the backlog or framework without explicit human approval.

SOC 2

The security baseline maps to the Trust Services Criteria. That is technical preparation, not an audit opinion or certification.

Project-local

Each project gets a pinned copy of the framework under .datarim-runtime/; the framework itself is not installed in home directories. Standalone reporting can be installed for every project without the framework. It replaced the 2.x symlink install into the user's home directory.

Open Source

Arcanada-one/datarim
MIT License — free to use, modify, and distribute
https://github.com/Arcanada-one/datarim

Arcanada Ecosystem

Datarim is developed as part of the Arcanada project — an ecosystem for building, orchestrating, and scaling AI agents and services.

Get in Touch

Found a bug? Have a feature request? Want to contribute?