April 12, 2026

What is Datarim? An AI Workflow Framework for Claude Code

Introducing Datarim — a structured iterative workflow framework that turns any project into a series of managed tasks with AI assistance at every stage.

When you start using AI assistants for real work — not just one-off questions, but sustained project execution — you quickly hit a wall. The AI forgets context between sessions. There's no structure to guide multi-step work. Quality varies wildly. And there's no learning from one task to the next.

Datarim solves this. It's a framework that provides structure, memory, and quality control for AI-assisted project work — built specifically for Claude Code.

The Pipeline

Every task in Datarim follows a pipeline:

init → prd → plan → design → do → qa → compliance → reflect → archive

But not every task needs all 9 stages. A simple bug fix goes: init → do → reflect → archive. A complex feature gets the full treatment with product requirements, architectural design, multi-layer QA, and compliance hardening.

Datarim routes automatically based on complexity levels (L1-L4). You focus on the work; the framework manages the process.

15 Specialized Agents

Each stage is powered by specialized agents — planner, architect, developer, reviewer, compliance officer, strategist, writer, editor, DevOps, SRE, security analyst, and more. They each have a focused role and collaborate through the pipeline.

For critical decisions, Consilium assembles a custom panel of agents to debate and synthesize a recommendation — like an architectural review board, but AI-powered.

Not Just for Code

Datarim works for any iterative work:

  • Software development — from requirements to production with TDD
  • Research — literature review, methodology, writing, fact-checking
  • Technical documentation — API docs, architecture decisions, guides
  • Content creation — articles, social media posts, with editorial review
  • Project management — backlog, iterations, retrospectives

Self-Evolving

After every task, /dr-reflect creates a retrospective — what worked, what didn't, and concrete proposals for improving the framework itself. Datarim literally learns from its own experience.

Get Started

git clone https://github.com/Arcanada-one/datarim.git
cd datarim && ./install.sh
claude
/dr-help

Datarim is open source (MIT License) and part of the Arcanada Ecosystem.