ZDZAgentsOS AI in production from goal to PR · live
// real AI agent orchestration

A goal comes in. An agent executes. You approve from your phone.

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A
Agent Aurora
picked up the task · reading the repository
provider 1 of 26 LLMs IDE/CLI 1 of 6 🔒 100% on-premise Native MCP
📖Read 34 files and mapped the checkout flow
✎Edited auth/2fa.ts, checkout.tsx (+3 files)
⚙Ran the test suite — 128 passing
⎇Commit and push on branch feat/2fa-checkout
PR #482feat: 2FA in checkout
8 files+214−12 ✓ CI green
▤
Action Inboxhuman in the loop · audited
Approval required
Agent Aurora opened PR #482. Approve the merge?
✓ Approved from the phone · merge done · audited
ready

This flow is illustrative — the goal and the PR are examples. What is real and in production: orchestration of multiple AI agents doing real work on real machines (code, commits, PRs), 26 LLM providers and 6 IDE/CLI integrations, cloud or 100% on-premise with no lock-in, and a human in the loop from the phone with auditing and timeout.
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