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NURL

A token-efficient programming language built for language models.

Dev Toolsprogramming-languagellmllvmcompilerwebassemblytoken-efficientmcp
NURL screenshot

About

NURL (Neural Unified Representation Language) is a small, LLVM-backed programming language with a regular, prefix-notation grammar optimized for code generated or consumed by large language models. It compiles to native binaries and WebAssembly via LLVM IR, and includes a self-hosting compiler that also exposes an MCP server so AI assistants can build and run NURL programs directly. The language prioritizes token efficiency, local semantics, and deterministic compilation over human-oriented syntax conveniences.

Problem

Existing programming languages are designed for human ergonomics, making them verbose and token-inefficient when used with large language models.

For

AI/LLM developers and agent builders who generate or consume code programmatically

How it works

NURL uses a minimal prefix-notation grammar that compiles to LLVM IR, producing native binaries or WebAssembly, with a self-hosting compiler also accessible as a hosted MCP server for AI assistants.

Business model

open-source

Status

launched

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