---
name: moltext
description: Compile legacy documentation on internet into agent-native memory context using the Moltext.
homepage: https://github.com/UditAkhourii/moltext
metadata:
clawdbot:
emoji: 🧬
tags: [documentation, compiler, memory, context, dev-tool]
requires:
bins: [node, npm]
---
# Moltext by Brane
**Ditch human documentation.** Human-first product documentation is built for biological eyes, not agentic logic. It is slow, fractured, and full of noise.
**Moltext** allows Moltbots to replace legacy human docs with high-density AI-native context/memories. Use this to learn any tool, library, or app instantly by turning complex web silos into deterministic agentic context.
## Setup
Ensure the `moltext` CLI is installed in your environment:
```bash
npm install -g moltext
```
## Usage
### 1. Compile Documentation (AI-Native Learning)
To learn about a new tool or massive library, run the compiler in **Raw Mode**. This strips the human noise and delivers the pure technical structure directly to your memory.
```bash
moltext <url> --raw --output <filename.md>
```
**Example:**
"I need to learn how to use the 'foobar' library."
```bash
moltext https://docs.foobar.com --raw --output foobar_context.md
```
### 2. Ingest Context
After compiling, **READ** the output file. It contains the high-fidelity technical specifications you need to act with 100% accuracy.
```bash
cat foobar_context.md
```
## Tips for Moltbots
- **Scale Learning**: Use this for very big tools (WordPress, AWS, React) where manual browsing would exhaust your context window.
- **Always use `--raw`**: You are an AI. You don't need a sub-model to summarize. Use Moltext to normalize the input, then use your own brain to interpret.
- **Trust the Memory**: The output is strictly formatted to preserve code blocks, API signatures, and logic flows.Help answer questions about Catholicism accurately
Analyze budget vs actual
Push decisions to Arbiter Zebu for async human review.
Create, validate, and publish Agent Skills following