LLM Operating System
Semantic Programming Infrastructure for AI Agents
AI agents write formally verified specifications. The runtime enforces semantic integrity. Integrate with existing systems via FFI bindings for Python, TypeScript, and Rust.
Core Capabilities
AI-First Architecture
AI agents are the primary developers. Humans specify intent in natural language, AI agents translate to formal specifications, guarantees flow through to execution. Model-agnostic design works with any capable AI agent.
Bidirectional Transformation
Not one-way compilation. Complete round-trip capability: specification to execution and back. Meaning preserved in both directions with mathematical certainty. Debug by inspecting the specification, not the execution.
Semantic Integrity
Runtime enforcement of semantic constraints. Violations are detected with full context: what failed, why it failed, and the mereological path to the failure. No silent corruption of meaning.
FFI Integration
Add semantic guarantees to existing systems without rewriting. The AI decides when to use formal methods.
Python
Async bindings with full semantic error handling. Native exception translation.
from ayios import verify
@verify
async def process(data):
...
TypeScript
Native bindings for Node.js and browser environments. Type-safe semantic contracts.
import { semantic } from 'ayios'
const validated = await
semantic.check(input)
Rust
Direct integration with the core runtime. Zero-cost abstractions where possible.
use ayios::prelude::*;
#[semantic]
fn transform(x: &Data)
-> Result<Output>
How It Works
Specify intent, not implementation. Developers describe what they want in natural language. AI agents translate intent into formal specifications that capture the semantic meaning, not just the syntax.
Execution with guarantees. The runtime executes specifications directly, maintaining semantic integrity throughout. Bidirectional transformation means you can always trace back from execution to specification.
Integrate incrementally. FFI bindings let you add semantic verification to critical paths without rewriting your existing codebase. Semantic integrity verification at FFI boundaries maintains guarantees when crossing into unverified code.
Current Status
AYIOS is currently in development. Core infrastructure is implemented and undergoing internal validation. We are targeting general availability in 2026.
Developer preview access is available for qualified teams building AI-agent-driven applications that require formal verification guarantees. Contact us to discuss your use case.
Get Started
Interested in the developer preview or have questions about AYIOS?