Autonomous AI agent operating system

Tinnexus OS

A production-grade orchestration platform for coding agents, browser automation, testing, deployment, memory, and multi-agent SaaS systems.

Open dashboard Connect AI provider

Live orchestration graph

restaurant-saas-build / production

healthy

Planner

queued

Task graph generated

Architect

running

System design active

Frontend

waiting

UI implementation

Backend

running

API and schema work

idle

Playwright validation

Deployment

approval

Release gate

Execution stream

planner.create_graph --status=succeeded

backend.apply_migration --tenant=production

qa.playwright.run --viewport=mobile,desktop

deploy.request_approval --risk=critical

Platform capabilities

Built as an operating system, not a chatbot.

Multi-agent orchestration

Planner, architect, coding, QA, security, DevOps, deployment, and monitoring agents run through one control plane.

Isolated execution

Docker sandbox contracts are designed for temporary containers, scoped workspaces, logs, limits, and approvals.

Memory and RAG

Project, user, codebase, error, design, API, and conversation memory are tenant-scoped from the start.

Autonomous QA

Playwright and browser automation workflows feed failures into fixer agents and retest loops.

Deployment engine

Hetzner, Cloudflare, SSL, DNS, backups, and monitoring are part of the release path.

Enterprise controls

RBAC, audit logs, encrypted secrets, approval gates, and tenant isolation are core platform primitives.

Backend completion plan

Eight phases from MVP control plane to enterprise runtime.

Phase 1

Control plane hardening

Phase 2

Agent runtime and queue execution

Phase 3

Tool execution layer

Phase 4

Docker sandbox

Phase 5

Memory and RAG

Phase 6

Browser automation and QA

Phase 7

Deployment engine

Phase 8

Observability and enterprise controls

Production control starts here

Connect your AI provider and begin orchestration.

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