The Nexis ecosystem
Nexis is more than one app — it’s a developer ecosystem. The terminal is the flagship, but around it has grown a family of tools that share a stack (Tauri 2 + Rust + React 19), a design language, and a philosophy: local-first, lightweight, open source, and zero telemetry.
The projects
Section titled “The projects”| Project | What it is | Stack |
|---|---|---|
| Nexis | The AI-native terminal & developer environment (ADE) — the flagship. | Tauri 2 · Rust · React 19 |
| nexis-ml | Python ML engine — train small models on small data, metrics streamed live into Nexis. | Python · PyTorch |
| nexis-ml-rs | Python-free, single-binary ML engine — same protocol and run store as nexis-ml, GPU via wgpu, ONNX export. |
Rust · burn |
| Nexis Benchmark | Desktop app for benchmarking local AI models — ONNX/GGUF across inference backends. | Tauri 2 · Rust · React 19 |
| Dev Dashboard | Git status across all your local repos in one glance, scanned natively in ~20 ms. | Tauri 2 · Rust (git2 + rayon) · React 19 |
| nexisdev.org | The marketing site. | Next.js 16 · shadcn/ui · Tailwind v4 |
| This wiki | The documentation you’re reading, at wiki.nexisdev.org. |
Astro · Starlight |
How the pieces fit together
Section titled “How the pieces fit together”- Nexis is the hub. Its ML Lab panel spawns an engine —
nexis-mlornexis-ml-rs— to do real training work, and renders the streamed metrics live. - The two ML engines are interchangeable: both speak the same NDJSON protocol and write the same run store, so a run produced by one can be read by the other.
- Nexis Benchmark closes the loop on local AI: it measures the models you’d
run in Nexis (via LM Studio, Ollama, or ONNX), and it drives
nexis-ml-rsas one of its real benchmark backends. - Dev Dashboard answers “which of my repos needs attention?” before you
even open a terminal — and can drop you into one (your
$TERMINAL) at the selected repo. - Everything visual descends from the Nexis design system: borderless custom window chrome, OKLCH light/dark themes, and the same typography and cursor set. Dev Dashboard is built directly from the design language extracted from Nexis.
Shared principles
Section titled “Shared principles”Every project in the ecosystem follows the same rules — see Philosophy for the long version:
- Local-first. Your code, your models, your data stay on your machine. AI runs on your own API keys or fully offline.
- Lightweight. Tauri and the system webview instead of Electron; the Nexis terminal itself is under 10 MB.
- Zero telemetry. None of the apps phone home.
- Open source. All repos are public under github.com/rwetz, Apache-2.0 licensed.
Where to go next
Section titled “Where to go next”- Nexis Benchmark — benchmark local AI models.
- Dev Dashboard — multi-repo git status at a glance.
- ML Suite — the training engines and the ML Lab panel.
- What is Nexis? — the flagship terminal itself.
