Quick Start

Sheaf ships as a single native binary with no runtime dependencies.

Installation

Download the binary for your platform from the releases page:

Platform	Binary
macOS (Apple Silicon)	sheaf-macos-aarch64
Linux x86_64	sheaf-linux-x86_64
Linux aarch64	sheaf-linux-aarch64

Make the binary executable and move it to your PATH:

chmod +x sheaf-macos-aarch64
mv sheaf-macos-aarch64 /usr/local/bin/sheaf

REPL

Run sheaf with no arguments to start the interactive console:

Sheaf 2.0.0 (:h for help)
sheaf> (+ 1 2)
=> 3
sheaf> (map (fn [x] (* x x)) [1 2 3 4])
=> [1.0, 4.0, 9.0, 16.0]

Tab completion is available. Inline help: :help <name> (e.g., :help let).

Running a file

To run a program, pass the source file to sheaf:

sheaf run.shf

Examples

Download the examples archive from the releases page (direct link). Each example is self-contained:

cd examples/mlp
sheaf run.shf

Available examples:

• CLEVR: A neuro-symbolic model for visual question answering
• Hydra: A self-modifying model that grows during training
• MLP: "Hello World" example of a small multi-layer network to solve XOR
• NanoGPT: A port of Karpathy's nanoGPT in Sheaf

AI assistant bootstrap

sheaf init-ai generates a context file in the current directory. Provide this file to Claude Code, Cursor, Copilot, or any other assistant to get code generation, code completion, and debugging help.

sheaf init-ai
# Generates sheaf-context.md

Next steps

Follow the tutorial to learn the language fundamentals.