AI agents that run natively on any system
Download ArmaraOS and start chatting... Building? AI Native Lang gives developers a deterministic, auditable framework to build agents that compile once and run forever.
saves 2-5x on token/api costs — no prompt engineering required.
Understand what you're getting
We ship two complementary products that work together — or standalone.
Product one
ArmaraOS
Desktop app. Control center for your agents. Download, run agents locally, monitor execution, manage credentials — all without touching the command line.
Download ArmaraOS →Product two
AI Native Lang
Language & compiler. Write deterministic agents in a Python-like syntax. Compile to portable IR. Deploy anywhere — cloud, edge, embedded systems.
Explore AINL →💡 Pro tip: Start with ArmaraOS. Graduate to the compiler when you're ready to ship production agents.
Platform depth
Powerful, yet predictable
Stop building agents that hallucinate. AI Native Lang gives you determinism, auditability, and cost predictability out of the box.
Deterministic execution
Same input always produces the same output. Predictable behavior you can rely on — orchestration lives in compiled IR, not in the model.
Full observability
Every decision is logged. Every step is auditable. Complete execution tape in JSONL format for compliance and debugging.
Explicit control
Control exactly what your agents can do. Explicit adapter boundaries, policy gates, and no hidden orchestration state.
Any model, any cloud
Works with any LLM for authoring. Deploy compiled graphs to any cloud, run locally, on edge devices, or embedded systems.
Lightweight runtime
Minimal dependencies. Fast startup. Low memory footprint — a strong fit for serverless, edge, and resource-constrained environments.
Enterprise ready
SOC 2 alignment paths, audit trails, and compliance-oriented docs — built for teams that need to ship production AI safely.
90%
Stop paying for tokens you don't need
Compile your agent once. Run it thousands of times. With AI Native Lang, recurring orchestration can drop to near-zero LLM spend — early adopters report major savings on monitoring-style workloads.
- Deterministic execution — same input → same output. No re-prompting for control flow.
- Deterministic routing — orchestration lives in compiled IR, not in the model.
- Smart model routing — use cheaper models for authoring; reserve spend where it matters.
- Bounded behavior — explicit rules, adapter grants, and inspectable graphs.
Getting started
From zero to running in minutes
Get your first workflow validated in under three minutes. Install the compiler, scaffold a project, and run — or start with the ArmaraOS desktop and connect a model when you're ready.
- 1
Download ArmaraOS
Get the desktop app for your OS.
- 2
Run your first agent
Use templates or bring your own graphs.
- 3
Connect a model
OpenRouter, Anthropic, OpenAI, or local — BYOK.
- 4
Deploy anywhere
Emit LangGraph, Temporal, APIs, or run natively.
Documentation & paths
Start with the essentials
We ship core features out of the box. Everything else is optional. Build what you need, when you need it.
Quick Start Guide
Step-by-step: install, scaffold, validate, and run in minutes.
Graph AI inference
Compile agent logic into portable, auditable IR.
MCP integration
Model Context Protocol support for AI-native tooling.
OpenRouter support
Access many models through a single API key.
Enterprise deployment
Paths for compliance, audit evidence, and operator control.
Full observability
Execution logs, strict validation, and JSONL execution tape.
Open core · Production-minded
Ready to build agents that actually work?
Join developers building deterministic AI agents that compile once and run forever. Free, open source, and production-minded.