Private Beta

Mission Control for Agentic Intelligence.

You've built the brain with Lár. Now give it a body.
Deploy, observe, and scale your agents with enterprise-grade infrastructure.

Limited spots available for Q1 2026.

Instant Deployment

Serialize your Lár graph to JSON and push to production in seconds. "Write Once, Run Anywhere" finally solved for agents.

Flight Recorder

Every thought, every tool call, every state change. Logged, indexed, and searchable. Debug production issues in real-time.

Enterprise Infrastructure

Redis-backed job queues for massive concurrency. Firestore for millisecond state persistence. Built to scale to millions of agents.

deploy.py
from lar import GraphExecutor, SnathCloud

# 1. Load your local agent
executor = GraphExecutor.load_from_file("agent.json")

# 2. Connect to Cloud
cloud = SnathCloud(api_key="sk_live_...")

# 3. Deploy to Edge
deployment = cloud.deploy(
    executor, 
    region="eu-west-1", 
    replicas=5
)

print(f"Agent live at: {deployment.url}")