5 min
Clone
Clone the repo, read the README, and have the reference architecture on your machine.
+ STARMYND . OPEN-SOURCE
Imagine how much you could get done if you had proper AI working for you at its full potential.
You believe the source code is more credible than the marketing site. You are right.
Infinite Brain OS is the architecture pattern the 5% of successful AI projects use, fully implemented, fully open. Clone, read, run, fork. MIT-licensed. On GitHub.
The universal tagline
Imagine. The architecture pattern that the 5% of successful AI projects use, on your machine, in 5 minutes, with no sales call between you and the source.
Time to first workflow
From zero to running on your own data.
No sales calls. No subscriptions. No vendor lock-in.
30 min
First running workflow
Bring your own data, run an example workflow, and have a working agent against your own Shopify, Klaviyo, or Meta export.
What is in the repo
The architecture pattern, fully implemented.
Seven components. Each one production-grade. Each one MIT-licensed. Each one open to fork.
Full reference architecture
Production-grade pattern for principled AI in DTC marketing. The same architecture that powers paying Architect engagements.
Example agent workflows
Working code you can fork. Claude Code and Codex agent loops, configured against the reference data layer.
Data-layer templates
Wireable to your own data. Shopify, Klaviyo, Meta, Google source templates that save you the integration work.
Documentation of the principles
Architecture rationale, decision logs, the design constraints. Building the standard, not the closed product.
Mathematical decomposition validated on real DTC data
Example metric implementations cited in the Infinite Entry whitepaper. The proof is one click away in the spec.
Public roadmap
What ships next, why, and the trade-offs being made. Issue tracker is your direct path to influencing the standard.
The principles in code
Three themes. Nine principles. The repo is the architecture.
Every commit is a decision aligned with these. The Architect engagements ship these. The Infinite Brain OS repo proves them.
Theme 1
You own everything.
Alignment via ownership. The repo lives on your GitHub, your data lives in your GCP project, your team can take over at any point.
Principle 1.1
GitHub is the source of truth.
Code, prompts, agent definitions, canons all in git. Every change auditable. Every decision in history.
Principle 1.2
Isolated GCP project per company.
Quantitative data in BigQuery, secrets in Secret Manager, all inside an isolated project. No comingling.
Principle 1.3
Self-maintain whenever you want.
Source in your repo, numbers in your project, tools open-source. Migration is mechanical, not architectural.
Theme 2
It is portable forever.
Alignment via no lock-in. The architecture survives the next 10 years of AI shifts because it was designed to.
Principle 2.1
Open-source integration.
Built on GitHub, Claude Code, Codex, Paperclip, N8N, BigQuery, Secret Manager. Fork, self-host, migrate.
Principle 2.2
Tool-swappable.
Each tool can be swapped for current or future industry standards without rewriting the rest of the stack.
Principle 2.3
Model-agnostic.
No coupling to one AI model. Swap the model layer week-to-week as the frontier shifts.
Theme 3
We empower, never replace.
Alignment via user power. The repo makes your team AI-superhuman. It does not make them dependent on us.
Principle 3.1
Default headless.
Empower the AI super-apps your team already uses. Ship results, not screens.
Principle 3.2
Problem-first design.
Listen to your team. Design to their actual problem. Show before you build. No pre-built solutions looking for a fit.
Principle 3.3
Your team is the hero.
1-on-1 training. They own the final project. They present the win as theirs.
The plan
Three steps. Forty minutes from clone to running.
No sales calls. No subscriptions. No vendor between you and the source.
01
Clone the repo
Public on GitHub from June 10, 2026. MIT-licensed. Pull the reference architecture onto your machine in one command.
git clone https://github.com/starmynd-org/infinite-brain-os
cd infinite-brain-os02
Read the README
The README walks the architecture pattern, the three themes and nine principles applied in code, and the spec the repo implements (Infinite Entry).
03
Run the example workflows
Bring your own data. Run an example agent against your own Shopify, Klaviyo, or Meta export. Adapt to your stack from there.
Honest about the tiers
Why you might NOT need the paid tiers.
If you can clone the repo, read the architecture, and ship the workflows yourself, you do not need the paid tiers. The Infinite Brain OS repo is the architecture. The paid tiers are the human delivery service for teams who would rather pay than build.
Skool is the next tier up if you want a structured curriculum to become a Claude Code, Cowork, and Codex power user. StarMynd ABI is the next tier up if you do not want to run your own data pipeline. AI Architect is the team-of-two service for teams who want their AI workflows shipped with them, not by them.
If the repo is enough, the repo is enough. We are not optimizing for your subscription. We are optimizing for principled AI getting deployed in your org.
Six names, one framework
Infinite Brain OS is the open-source product. Infinite Entry is the spec.
Andrew Warner authored the Infinite Entry framework as the quantitative specification for AI-era business intelligence. The conservation-law foundation under the framework is detailed in the spec, with a worked example on real DTC data one click away.
Infinite Brain OS is the canonical reference implementation of that spec. The repo is the proof we practice what the spec describes. Six naming layers, kept distinct everywhere.
Umbrella
Infinite Bookkeeping
The umbrella framework. Quantitative and qualitative AI-era business intelligence.
Quantitative spec
Infinite Entry
The conservation-law framework for decomposing business outcomes. v1.0 publishes June 1, 2026.
Qualitative spec
Infinite Brain
The qualitative companion. Formal version deferred. Patterns surface in Skool and engagements.
Open-source product
Infinite Brain OS
This repo. The canonical implementation of the Infinite Entry spec. MIT-licensed.
Company
StarMynd
The company that authors the spec, ships the repo, runs the paid tiers.
Commercial product
ABI
StarMynd ABI. The commercial AI-ready business data foundation. $895/month starting.
What is at stake
The source code is more credible than the marketing site.
You become one of the few in your network who can speak credibly about what 5%-success-rate AI architecture looks like.
If you do not look
You keep arguing about AI architecture from theory.
You recommend patterns you have not pressure-tested. You ship architecture decisions based on blog posts and slide decks. Your team trusts your judgment less because the implementation receipts are not in your head.
If you read the repo
You see principled AI architecture in code.
You understand the trade-offs because you can read them. When your team asks "how should we build this," you have an answer grounded in implementation. You also have first-look invitations to Skool, ABI, and AI Architect if any of those become a fit later.
Get the repo. Or get the launch update email.
Repo goes public June 10, 2026 at github.com/starmynd-org/infinite-brain-os. The launch email tells you the moment it ships, plus future Infinite Entry spec drops.
github.com/starmynd-org/infinite-brain-os
Launch update email
Get notified when the repo and the spec go public.
One email when the repo ships June 10. Future Infinite Entry spec drops as they publish. No upsells.