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🧠 Local-first CLI that gives your repo durable, AI-ready memory — features, ADRs, modules, architecture, standards & tests — and a 🩺 deterministic doctor that validates health, evidence & drift. Git tracks what changed; Persist OS tracks why.

1 starsTypeScript

Persist OS – Durable decisions for AI code

by karthickrmchn·Jun 23, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainShip It

Doctor gate returns exit codes for CI when decisions contradict or tests are missing.

Strengths
  • Writes decisions as plain files in repo, not vectors—survives session compaction and context loss.
  • ADR supersede command maintains auditable trail when decisions change, flags stale references.
  • Zero network calls, no telemetry—runs entirely local with deterministic validation.
Weaknesses
  • ADR tools already exist (adr-tools, log4brains)—doctor gate is the only real differentiator.
  • Only 1 GitHub star suggests very early adoption, unproven in real team workflows.
Target Audience

Solo developers, small teams using AI coding tools

Similar To

adr-tools · log4brains · supermemory

Post Description

In the past few months, I’ve been building and shipping things extremely fast. Some of the MVPs that I built for my friends were completely vibe-coded and shipped within a day to show a demo.

While it was a great experience working with AI tools, I wanted to make sure some basics were followed, decisions of what and why written down, obvious things not skipped and that it could scale.

That’s why I built persist-os. It’s a CLI that runs locally. No network required. It records the architecture decisions and standards in plain files in the repo and 'persist doctor' checks them - it flags if anything contradicts or is missing, or if the task is done with no tests. Because the rules live in your repo files, it doesn't matter if you start a new session or the session is compacted - the standards and rules survive.

MIT licensed. Here’s how you can try it: npx persist-os@latest init

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