Secure LLM scripting. Finally.
Context meets engineering for pragmatic orchestration without giving away your keys.
secure?
Prompt injection isn’t an LLM problem,
it’s an infrastructure problem.
Other tools yell at the model and hope it behaves.
mlld enforces policy at the runtime level.
You label your data and define guards. Then when tainted data hits a boundary, your guards fire. The LLM doesn't get a vote and isn't asked to guess.
No magic. No proprietary pixie dust. Just classic security principles applied to a new problem. mlld's primitives help you do the work of securing your stuff.
From the cocreator of npm audit and Code4rena
llm scripting
If you've experienced the pain,
you know what you need it to be.
Tired of repeating yourself
“I'd do a lot more with LLMs if constantly assembling and re-assembling context wasn't such a chore.”
Tired of wrong tools for the job
“I just want to script LLMs. Don't give me a kitchen sink 'agentic framework' or a magic black box. Give me a unix pipe.”