AI Agent Infrastructure

The Robust Backbone
of All AI Agents.

Alvax AgentOS provides durable execution, self-organizing memory, and secure sandboxes needed to run Agents as production-grade business services.

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Trusted by teams building the future of autonomous AI

ACME GLOBEX INITECH SKYWARD NEXUS VERTEX

Why Legacy Cloud Infra
Fails in the Agent Era.

Traditional web infrastructure was built for short-lived, stateless transactions. AI Agents need something fundamentally different — persistent thinking, autonomous memory, and action-level governance.

Dimension Legacy Web Infrastructure (Web 2.0) Alvax AgentOS (Agent Era)
Core Primitive Request — Response (Ephemeral) Thinking Loops (Persistent)
Storage Logic Static Database (Manual Fetch) Self-Organizing Memory (Autonomous)
Execution Serverless (Timeout-prone) Durable Execution (Resume-anywhere)
Security Boundary Access Control (IAM) Governed Sandboxes (Action-level)

Four Pillars of
Agent Infrastructure.

Stability, Memory, Security, and Monetization — everything your agent needs to run as a production-grade business service.

Durable Task Engine

Eliminate "Agent Anxiety." Even if a task takes days or requires human approval, Alvax freezes the state and resumes perfectly when triggered. No timeouts, no lost progress.

Auto-Checkpointing Wait/Resume Logic

Cognitive Memory Center

Stop building "forgetful" Agents. Automatically summarize and index history to maintain consistent personality and user preferences over months of interaction.

Context Compression Multi-tenant Isolation

Governed Action Sandbox

Give Agents freedom, but keep them within fences. Provide isolated MicroVMs where Agents can write code or call APIs without risking your core systems. Human-in-the-Loop approval gates built in.

Human-in-the-Loop (HITL) Dynamic Tool Mounting

Agent Monetization Engine

Built for AaaS (Agent-as-a-Service) providers. Native support for per-tenant token tracking, API cost attribution, and resource quotas so you can scale profitably.

Cost Attribution Automatic Invoicing

Ship agents in
minutes, not months.

agent.ts
import { Agent } from 'agentos';

const assistant = new Agent({
  // Persistent memory — no config needed
  memory: true,

  // Mount tools via MCP protocol
  tools: [
    'mcp://github',
    'mcp://notion',
    'mcp://stripe'
  ],

  // Sensitive actions require human approval
  approvals: ['stripe-charge', 'db-delete'],
});

// Deploy with one command:
// $ agentos deploy

Define logic.
Mount tools.
Deploy.

Alvax AgentOS handles all the plumbing — state persistence, tool authentication, cost tracking, and safety gates. You focus on the prompt and business logic.

  • One-line persistent memory — no vector DB setup
  • MCP tool mounting — click to authorize, auto-inject credentials
  • Human-in-the-loop built into the runtime, not your code
  • Auto cost-tracking per tenant — invoice generation included
  • Time-travel debugging — replay any agent step

What you can build
on day one.

From customer success autopilot to financial compliance — agents that work reliably as your digital workforce.

01

24/7 Autopilot Customer Success

Monitor Slack, Notion, and Salesforce. If a task fails due to a network error, the Agent auto-retries the next day until resolved. Always-on, never drops the ball.

Slack Notion Salesforce Durable Runtime
02

Autonomous Audit & Compliance Agent

Reconcile thousands of invoices autonomously. Triggers a mobile "Human Approval" notification before executing any sensitive financial transactions.

PDF Processing PostgreSQL HITL Gate
03

Vertical AaaS (Agent-as-a-Service)

Launch AI assistants for law firms or medical clinics with built-in billing. Developers focus on the Prompt; Alvax handles the enterprise-grade backend.

Multi-Tenant Auto Billing White-Label

Don't just run Agents.
Trace their thoughts.

A visual dashboard showing the Agent's "Thinking Chain." If an Agent makes a mistake at Step 5, you can fix the prompt and "Roll Back" the execution to that exact point without restarting.

trc_8f2a91c ResearchBot v2.3.1
THINKReceived user query 0.0s
"Find all PRs merged this week and summarize the key changes"
THINKPlanning execution 1.2s
Strategy: Call GitHub API → filter merged PRs → analyze diffs → generate summary
TOOLgithub.listPullRequests 2.4s
{ repo: "acme/platform", state: "merged", since: "2026-02-14" }
✓ Response: 23 PRs found — 142 files changed
CHECKPOINTState persisted 3.5s
Snapshot saved → 1,240 tokens consumed — $0.012 cost
ERRORRate limit exceeded 4.1s
GitHub API returned 429 — automatic retry queued in 30s
RESUMERestored from checkpoint 34.2s
Resumed execution from Step 4 checkpoint — no tokens wasted
HITLAwaiting human approval 35.8s
Agent wants to post summary to #engineering Slack channel — pending approval
✓ Approved by alex.chen@acme.com — 2m later
TOOLslack.postMessage 2m 37s
✓ Summary posted to #engineering — "This week: 23 PRs merged across 3 epics..."
<500ms
Cold Start
99.99%
Runtime SLA
Execution Duration
GDPR
Compliant Isolation

Stop babysitting
your agents.

Deploy agents that run for days, remember everything, stay within guardrails, and bill your customers automatically.