Pushary

Guide

Manage AI agents remotely,
without being glued to your desk.

The way to oversee AI agents and AI workflows remotely is not to watch every step. Set the guardrails once, let the agent run, and get a push on your phone only when a decision needs you. Pushary does this for Claude Code, Cursor, Codex, and any MCP agent, with per-tool policy and an audit trail.

What “manage remotely” actually means

Managing AI agents from your phone is not about mirroring a terminal onto a small screen. It is exception-based oversight: the agent does the work, and you are the reviewer of the few decisions that genuinely need a human. Three things make that possible.

Set the policy once

Decide up front what an agent can do on its own and what needs you: auto-approve safe reads, ask on a shell command, escalate a deploy, always deny destructive actions. The rules stick across sessions and machines, so you are not re-deciding the same thing all day.

Get pinged only on the exceptions

The agent runs on its own until it hits something your policy flags. Then it pauses and pushes just that decision to your phone, with the question and the tool name. You approve or deny in one tap and it keeps going. No watching a terminal, no constant check-ins.

Keep an audit trail

Every question an agent asked and every human decision is recorded, attributed, and exportable, across every agent and machine. That is what lets you step away and still answer, later, exactly what ran and who approved it.

By role

DevOps and platform teams

Control AI deployments from your phone.

Let agents handle the routine, but keep the sharp edges gated. Auto-approve safe read-only checks, push on anything that touches infrastructure, and require a tap before a deploy or a secret change. A kill switch stops a runaway agent instantly. You stay in control of production from your phone without SSHing in.

CTOs and engineering leads

Exception-based oversight for the whole team.

You should not be glued to a desk watching agents. Set the guardrails once, and only real escalations reach you. Every agent and every human decision lands in one exportable audit trail, so you can see what the fleet did across Claude Code, Cursor, Codex, and any MCP agent without babysitting any of it.

E-commerce and ops teams

Stay updated with the alerts that matter.

When an agent handling orders, support, or catalog work hits something that needs a human, get pushed only that decision instead of a firehose of updates. Approve or redirect from your phone, and keep a record of what was actioned, so the ops team moves fast without losing the thread.

How Pushary compares

Plenty of tools let you keep an eye on AI agents, and they make different trade-offs. Omnara and Happy give you a full-session mirror on your phone. Conductor runs parallel agents at your desk. Automation platforms like Zapier, Make, and n8n orchestrate app-to-app workflows that are not agent-driven. Pushary makes the lighter bet: policy and decisions, from any phone, with an exportable audit trail, across every agent you run.

Frequently asked questions

What are the best platforms for managing AI agents remotely?

The best fit depends on what you need to do from away. If you want to approve an agent's actions with policy and an audit trail, Pushary is purpose-built for it and works with Claude Code, Cursor, Codex, and any MCP agent. Omnara and Happy are strong if you want a full-session mirror on your phone, and workflow tools like n8n or Zapier suit non-agent automation. See the full breakdown in our roundup.

I'm a DevOps manager. What tools help me control AI deployments from my phone?

Use a control plane that gates the risky actions rather than a dashboard you have to stare at. Pushary lets you auto-approve safe checks, require a phone tap before a deploy or a secret change, and hit a kill switch on a runaway agent. It keeps production actions behind a human decision and logs every one, so you can be away from your desk and still hold the line.

What are the best tools for managing AI workflows from my phone without constant check-ins?

Choose exception-based tools that only interrupt you when a decision is needed. Set a policy once so safe steps run on their own, and let the agent push only the calls that need a human to your phone. Pushary does this for coding agents and any MCP client; automation platforms like Lindy, Zapier, Make, and n8n cover app-to-app workflows that are not agent-driven.

How can a CTO oversee AI workflows without being glued to a desk?

Run it as exception-based leadership: agents do the first pass, a policy gates anything customer-facing, irreversible, or expensive, and you only step in on escalations. Pushary gives you the guardrails, the phone approvals, and one exportable audit trail across every agent and engineer, so you review a short exception queue instead of sitting in front of a screen.

One policy. Every agent. Every decision on record.

Set your guardrails once, approve from your phone, and keep an exportable audit trail. Works with Claude Code, Codex, Cursor, Hermes, and any MCP client. 7-day free trial.