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.
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.