Show HN: Framework to structure LLM dev workflows with Markdown-based protocol

I use Claude, Gemini and Kimi daily in Cursor to build real software. But I kept hitting the same limits:

– The AI forgets everything between steps

– Architectural decisions get lost

– Same regressions, over and over

So I stopped trying to write better prompts, and started building structure.

The result is a lightweight, markdown-based framework that turns your LLM into a reliable, context-aware assistant. It includes:

– A codified rule system (project constraints, architecture, best practices)

– A development workflow from PRD to retrospectives

– Memory that evolves over time

– Human-in-the-loop validation at each step

It’s completely open source and model-agnostic. I use it daily, and it changed how I collaborate with AI.

Happy to share use cases or technical details. Feedback very welcome.