EML language and compiler for verified mathematical computation. 31 backends spanning software, GPU shaders, hardware (FPGA/ASIC), formal verification, and safety-critical systems.
Project description
Monogate Forge
Forge is the EML language and compiler. Write a math kernel once, compile it to 32 different targets — software, GPU shaders, FPGA RTL, formal-verification proofs, and safety-critical avionics — with chain-order analysis and Lean-checkable contracts on every function.
Quick start
pip install monogate-forge
Create hello.eml:
module hello;
fn pid(error: Real, integral: Real, derivative: Real) -> Real
where chain_order <= 0
requires (-1.0 <= error && error <= 1.0)
ensures (-1.5 * 1.0 <= result && result <= 1.5 * 1.0)
{
let kp = 1.0;
let ki = 0.2;
let kd = 0.3;
kp * error + ki * integral + kd * derivative
}
Compile to every target at once:
eml-compile hello.eml --target all -o build/
You now have build/hello.c, build/hello.rs, build/hello.py, build/hello.lean, build/hello.v, build/hello.hlsl, build/hello.metal, build/hello.swift, … one file per target. Pick a single target instead:
eml-compile hello.eml --target rust -o hello.rs
eml-compile hello.eml --target c -o hello.c
eml-compile hello.eml --target lean -o Hello.lean
A snippet of hello.rs:
#[inline(always)]
pub fn pid(error: f64, integral: f64, derivative: f64) -> f64 {
debug_assert!((-1.0_f64) <= error && error <= 1.0_f64);
let kp: f64 = 1.0;
let ki: f64 = 0.2;
let kd: f64 = 0.3;
kp * error + ki * integral + kd * derivative
}
Five-minute tour: docs/quickstart.md. Full tutorial: monogate.dev/learn/eml/intro.
What you get
32 backends. Every kernel compiles to all of these from the same source.
Software (general-purpose)
| Target | Flag | Tier |
|---|---|---|
| C99 | --target c |
Free |
| C++17 | --target cpp |
Free |
| Rust | --target rust |
Free |
| Python 3 | --target python |
Free |
| Go | --target go |
Free |
| Java | --target java |
Free |
| Kotlin | --target kotlin |
Free |
| C# | --target csharp |
Free |
| JavaScript | --target javascript |
Free |
| MATLAB | --target matlab |
Free |
| Swift | --target swift |
Pro |
Compiler IRs
| Target | Flag | Tier |
|---|---|---|
| WebAssembly | --target wasm |
Free |
| LLVM IR | --target llvm |
Pro |
GPU shaders
| Target | Flag | Tier |
|---|---|---|
| HLSL (DirectX) | --target hlsl |
Pro |
| GLSL (desktop) | --target glsl |
Pro |
| GLSL ES | --target glsles |
Pro |
| WGSL (WebGPU) | --target wgsl |
Pro |
| Metal (Apple) | --target metal |
Pro |
Hardware (FPGA / ASIC)
| Target | Flag | Tier |
|---|---|---|
| Verilog | --target verilog |
Pro |
| SystemVerilog | --target systemverilog |
Pro |
| VHDL | --target vhdl |
Pro |
| Chisel / FIRRTL | --target chisel |
Pro |
Formal verification
| Target | Flag | Tier |
|---|---|---|
| Lean 4 | --target lean |
Free |
| Coq | --target coq |
Pro |
| Isabelle/HOL | --target isabelle |
Pro |
Safety-critical
| Target | Flag | Tier |
|---|---|---|
| Ada/SPARK | --target ada |
Pro |
| AUTOSAR C | --target autosar |
Pro |
| AADL | --target aadl |
Pro |
| ROS 2 / C++ | --target ros2 |
Pro |
Gaming
| Target | Flag | Tier |
|---|---|---|
| Luau (Roblox) | --target luau |
Pro |
| GDScript (Godot) | --target gdscript |
Pro |
Blockchain
| Target | Flag | Tier |
|---|---|---|
| Solidity (PRBMath SD59x18) | --target solidity |
Pro |
The Free tier — 12 targets covering general-purpose software (C, C++, Rust, Python, Go, Java, Kotlin, C#, JavaScript), web/edge runtimes (WebAssembly), MATLAB, and Lean 4 proofs — is enough to take any EML kernel from your laptop to the browser to a formal proof without a license. A Pro license unlocks the remaining 20: hardware (Verilog, VHDL, SystemVerilog, Chisel, LLVM IR), GPU shaders (HLSL, GLSL, GLSL ES, WGSL, Metal), Apple Swift, safety-critical (Ada, AUTOSAR, AADL, ROS 2), Coq, Isabelle/HOL, Solidity, and gaming (Luau, GDScript). Get a license at monogateforge.com/get-started.
VS Code extension
ext install monogate.eml-lang
LSP features:
- Chain-order on hover — every function shows its profiled chain order, cost class, and node count.
- Completions — keywords (
fn,let,where,requires,ensures,module,use), builtins (exp,ln,sin,cos,sqrt,tanh,pow,clamp,eml, …), stdlib modules. - Diagnostics — type errors, unbound identifiers, chain-order violations, contract failures.
- FPGA status bar — for any function annotated
@target(fpga), the status bar shows estimated LUT / DSP / latency for the selected device. - Format on save — canonical layout via
eml-fmt.
Marketplace listing: monogate.eml-lang.
Why Forge
Industrial automation today is stuck on ladder logic — Boolean rungs from the 1960s that can't express transcendental functions, can't prove correctness, can't optimize node count, and treat PID loops as black boxes. Structured Text is marginally better but still opaque. MATLAB/Simulink + HDL Coder will get you to FPGA, but the math hides inside vendor library calls and you have no formal proof of precision.
EML makes every mathematical operation visible, measurable, optimizable, and formally verifiable. Every expression is an EML tree, every function carries a chain order, every contract becomes a Lean theorem. The same source compiles to your laptop, your microcontroller, your FPGA, your Solidity contract, and your formal proof — and the cross-target equivalence harness verifies they agree to the bit.
Documentation
- Quickstart — pip install to first compile in 5 minutes.
- Language reference — every keyword, builtin, type, and annotation.
- Backends — every compilation target with its CLI flag, file extension, and tier.
- Verify guide —
@verify,requires/ensures, Lean output, MachLib integration. - FPGA guide —
@target(fpga), LUT/DSP estimates, precision selection, vendor support.
External:
- monogate.dev/learn/eml/intro — guided beginner tutorial.
- monogate.dev/learn/eml/engineering — intermediate engineering course (chain orders, contracts, FPGA targeting, Lean verification).
- monogateforge.com/get-started — install the CLI and pick a tier.
- monogate.org — research papers and theory.
- machlib.org — formal library of mathematical kernels with Lean proofs.
- arXiv preprint — the EML cost conjecture and Pfaffian profile.
Contributing
See CONTRIBUTING.md. Bug reports and feature requests via GitHub issues.
License
Compiler is MIT (see LICENSE). Specific algorithmic methods covered by patents — open implementation, but commercial re-implementations may need a license. See patents/index.md.
Built by Mosa Creates LLC.
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