Engineered for Entropy.

We are building the deterministic scaffolding for a probabilistic world. Join us in defining the kernel-level primitives for the agentic future.

agent_runtime.rs
rust
use akios_core::runtime::{Agent, Policy};
use akios_core::governance::Cage;

#[tokio::main]
async fn main() -> Result<(), Error> {
    // 1. Define the deterministic boundary
    let cage = Cage::new()
        .allow_host("api.stripe.com")
        .max_compute_budget(50.0) // USD
        .enforce_replayability(true);

    // 2. Initialize the probabilistic agent
    let agent = Agent::builder()
        .model("llama-3-70b-instruct")
        .with_policy(cage)
        .build()?;

    // 3. Execute with guarantees
    // If the agent hallucinates a policy violation,
    // the runtime panics before the network call.
    agent.run("process_refunds").await?;
    
    Ok(())
}

The Engineering Philosophy

We don't believe in "prompt engineering" as a substitute for systems engineering. We build robust, type-safe infrastructure.

Rust & Go Core

Performance is a feature. We write our sidecars and data planes in Rust and Go to ensure millisecond-latency overhead and memory safety at the edge.

Deterministic by Default

We treat non-determinism as a bug. Our replay engine ensures that every agent state can be reconstructed bit-for-bit, regardless of the underlying model.

Kubernetes Native

We don't reinvent orchestration. AKIOS integrates deeply with K8s, exposing agents as standard CRDs that can be managed with existing DevOps tooling.

The Stack

Tools of the Trade.

Rust

Core Runtime

Go

Network Proxy

TypeScript

SDK & UI

Python

Model Serving

Kubernetes

Orchestration

gRPC

Communication

ClickHouse

Telemetry

NATS

Messaging

Postgres

State

Terraform

IaC

From the Logbook.

Technical deep dives into the challenges of building the agent control plane.
Read all posts
Architecture

The Case for Local Inference

Why we moved our core reasoning loop from GPT-4 to fine-tuned Llama 3 on-prem.

Performance

Semantic Tracing at 10k TPS

Building a high-throughput telemetry pipeline with ClickHouse and NATS.

Security

Sandboxing Python Interpreters

Using gVisor and Firecracker to safely execute untrusted agent code.

Build with us.

We are looking for systems engineers who want to solve the hardest problems in AI infrastructure.

View Career Opportunities