NRSI Open Source

A new open AI/ML languagefor deterministic builds,shared openly from day one.

Linux-style launch principles: public source, transparent governance, repeatable releases, and a contributor-first roadmap.

Apache-2.0 codeCC-BY-4.0 protocol specPublic releasesOpen contribution model

Source

Public Repositories

runtime, tooling, and protocol materials available for builders

Releases

Tagged + Reproducible

versioned artifacts and transparent changelogs for each milestone

Community

Contribution Path

clear governance, contribution guidance, and maintainer ownership

Documentation

Builder-first

quickstarts, architecture notes, and integration examples

Project Vision

Build the language in public, with contributors at the center.

NRSI is being released as an open language ecosystem: transparent standards, public roadmaps, and implementation details that anyone can audit and improve.

  • Readable specifications and implementation references
  • Open issue triage and maintainership model
  • Release notes tied to public commits and tags

Why Open

Trust comes from public code, public decisions, and public benchmarks.

  • Anyone can inspect behavior and propose improvements
  • Teams can fork, extend, and upstream features
  • Vendors and researchers can integrate against stable interfaces

1. Read the docs

Understand the language model, architecture, and contribution standards.

2. Build and test

Compile locally, run examples, and validate behavior with reproducible checks.

3. Contribute upstream

Submit fixes and features through public review and maintainer workflows.

Get Involved

Choose your path: build with NRSI, contribute to core, or adopt the protocol.

If Linux is the bar, this page should route people into docs, source, and contribution immediately.

Open Project Essentials

Everything builders need to start quickly and contribute safely.

Builder assets

  • Language quickstart and examples
  • Architecture and protocol reference
  • Contribution + governance guides
  • Release history and migration notes

Start Here

Read the docs, clone the source, and ship your first NRSI workload.

No gatekeeping flow. Build first, then contribute back.