Most documentation on the web is written for humans. HTML pages, navigation, prose, repetition. Interface artifacts.

AI agents don’t need any of that.

When agents “learn from docs”, they’re reasoning over a rendering format, not the underlying technical truth. That’s why context breaks and hallucinations show up. Not a model problem. A substrate problem.

At Brane, we’ve been working on agent memory and coordination. One conclusion kept repeating. The real bottleneck isn’t intelligence. It’s context and memory infrastructure.

So we built Moltext.

Moltext is a documentation compiler for agentic systems. It doesn’t chat with docs or summarize them. It compiles the legacy web into deterministic, agent-native context that agents can reason over directly.

Infrastructure stays dumb. Models do the thinking.

Full write-up: https://gobrane.com/moltext/ GitHub: https://github.com/UditAkhourii/moltext

Happy to discuss tradeoffs or answer technical questions.

Ig it's a good fit for SuperDocs.cloud. Maybe we can partner to give all of the products launched here.. their own proper managed product documentations.

Tbh.. analytics tools is I also think somewhat exaggerated.. I prefer clarity as a top priority btw.. And Google Analytics helps rank fast for seo.

True.. You can migrate your services anyways.

Done..

a. You don't need to let any LLM index your code. b. I am focused more on the consumer facing product side.. Yes, right now it scans codes but my goal is to soon use computer use to work on the interface-side user flow (like onboarding, etc.). Maybe, create an agent for your customers to never get stuck coz of UX again. c. I made it public, you can check out docs, demos, etc.. Maybe I will also just open source this version once I am done with the CUA stuff..

Bonus stuff- I just built a CLI version so no interface needed at all, just 2 terminal command and get your docs ready.

I lowkey agree to this. But this is like a starter kit for people who are just mindlessly building and exhausting their credits on apps like Cursor or Replit.

Plus, having a dedicated stack that is you can functionally depend on, will help you scale much easily and accumulate very less technical debt overhead.

If you build an app mindlessly with Replit, chances there, you have a mock or hardcoded DB or auth and when you ship the v2, all data will vanish..

So, it's less of a good thing and more of a bad thing for people starting out.

But yes, you are truly right that this is also very inconsistent to rely on credits. I appreciate you raising this up!

True somehow but this is the typical Silicon Valley style where most of the stuff is so democratised that for people to start off, it has become a big fallback.

Like if you are a student or planning to switch career, then take what's free.. build and learn and ship!!!

So much true. I have been a developer in past so I understand my bias towards convectional frameworks. For me, the biggest dealbreaker for Replit was the scale cost.

I the technical debt that I was incurring per project. It is still my go-to option for prototyping and quick tests but this was just the regular stack I am using to ship stuffs.

Also, yes, there a a lot of alternatives (great ones) that I missed and understand that the list is not complete.

Would love to know what stacks you use so I can also try them out.

This is exciting. Let's talk more about what you are building. Let's talk at [email protected] more.

Would love to share your story with my Substack readers . Let's connect over and discuss further. Let's talk at [email protected]