Build small standalone Windows or Linux programs with zero external dependencies.
Create industrial control clients that speak Modbus, OPC-UA, DNP3, and other factory protocols.
Run language models locally using the built-in LLaMA inference engine with no ML libraries.
Use Aether Studio as a native IDE for writing and compiling ANCL programs.
| mfernandes-ancl/ancl | abhas9/escape-run | abhishek-kumar09/mern-live-js-june-2021 | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | HTML | HTML | HTML |
| Last pushed | — | — | 2021-09-13 |
| Maintenance | — | — | Dormant |
| Setup difficulty | hard | easy | moderate |
| Complexity | 4/5 | 2/5 | 2/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Alpha-stage toolchain requiring building the compiler from source, industrial and crypto features are unaudited and not for safety-critical use.
ANCL is a programming language and toolset that produces standalone executable programs for Windows and Linux with zero external dependencies. The compiler translates ANCL source code directly into native machine code, meaning the resulting programs need no supporting runtime environment, virtual machine, garbage collector, or external libraries to run. The compiler itself is written in ANCL and can rebuild itself from source, reproducing its own binary exactly, byte for byte. The project originated from real industrial control work, so it includes built-in support for the communication protocols used in factories and power plants: Modbus, S7, IEC-104, IEC-61850, DNP3, OPC-UA, EtherNet/IP, BACnet, and GOOSE. Beyond industrial use, the same toolchain builds a native IDE called Aether Studio and a LLaMA/GGUF AI inference engine, both written entirely in ANCL with no machine learning dependencies. The AI engine can run language models locally. Because ANCL contains all its own software rather than relying on external libraries, the resulting binaries are structurally small. The compiler is roughly half a megabyte, the AI inference engine is one to six megabytes, the IDE is 27 megabytes, and the collection of eleven industrial protocol tools is about one megabyte. The README is careful to note that ANCL does less than established alternatives and is not claiming to outperform them, the point is that a from-scratch, dependency-free stack fits in a few megabytes while still doing the core job. ANCL is young. The README describes it as an alpha or technology preview with substantial working software, not a production-ready 1.0. It was built largely by one person with assistance from AI tools like Claude, Codex, and Gemini. The industrial protocol clients, cryptography, and TLS stack are genuine implementations but have not been independently audited or hardened for safety-critical use. The README explicitly warns against using the writing and command features on live plant equipment without your own review and testing. The project is MIT licensed and free.
ANCL is a self-contained programming language that compiles code into tiny standalone programs for Windows and Linux with zero external dependencies, including built-in support for industrial protocols and local AI inference.
Mainly HTML. The stack also includes HTML, ANCL, LLaMA/GGUF.
MIT licensed, free to use, modify, and distribute for any purpose including commercial, with no warranty.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.