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Klar-Reference

Model-agnostic language reference for Klar. Complete syntax, ownership, error handling, and standard library documentation in a single file for easy AI consumption.

Version 0.1.0

Quick Start

For AI/benchmark use, fetch the complete reference:

https://raw.githubusercontent.com/PhilipLudington/Klar-Reference/main/REFERENCE.md

Usage

For Benchmarks

import requests

reference = requests.get(
    "https://raw.githubusercontent.com/PhilipLudington/Klar-Reference/main/REFERENCE.md"
).text

messages = [
    {"role": "system", "content": f"Klar Language Reference:\n\n{reference}"},
    {"role": "user", "content": task_prompt}
]

For Tool Integration

Include as a git submodule:

git submodule add https://github.com/PhilipLudington/Klar-Reference.git deps/Klar-Reference

Repository Structure

Klar-Reference/
├── REFERENCE.md          # Complete language reference (single file)
├── language/             # Detailed language specification
├── stdlib/               # Standard library documentation
├── patterns/             # Idiomatic patterns and examples
├── security/             # Security guidelines
└── examples/             # Annotated code examples

Related Projects

Project Purpose
Klar The Klar programming language
Klar-Toolkit Claude Code integration (rules, commands, workflows)
MCP-Klar Model Context Protocol server for Klar

What is Klar?

Klar is a systems programming language designed for memory safety and clarity:

  • Ownership system for memory management without garbage collection
  • Explicit syntax - no type inference, explicit returns
  • Result/Option types for error handling
  • Generics with trait bounds
  • Three backends: interpreter, bytecode VM, native LLVM compilation

License

MIT

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Model-agnostic language reference for Klar. Complete syntax, ownership, error handling, and standard library documentation in a single file for easy AI consumption.

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