AI agents belong in a governed
environment, not on laptops

Your teams already run powerful AI agents in Claude and Codex, but they’re stuck on one laptop, invisible to the rest of the company. xpander runs them inside your environment instead: governed, shared, scheduled, and audited.

WORKS FROM

Claude Desktop

Claude Code

Codex

Cursor

ChatGPT

Any MCP client

Coding tools on laptops, too

Not every agent needs to move. Claude Code, Codex, and OpenCode can send their model calls through your AI Gateway, under each person’s name and budget. Local skills and other clients’ own model calls stay on the laptop today.

Coding tools send model calls through your AI Gateway with one copied command per tool.

What changes when your local AI agents move to the cloud

Desktop was a great place to start. Cloud-deployed AI agents are governed, shared, and always on.

Local agents on your desktop

AGENTS ON xpander, IN YOUR ENVIRONMENT

Model and tool traffic

Goes straight from the laptop to model and tool vendors

Goes through your AI and MCP gateways, inside your environment

Execution permissions

Ask permission only when the model feels like it

Follow deterministic approval gates, per skill

Model neutrality

Run on one vendor’s model

Run on any model behind one shared gateway, no rewrite required

Credentials

Keep secrets in local config files

Pull credentials from a shared vault at runtime, invisible to the model itself

Availability

Stop working when the laptop closes

Run on a schedule, a trigger, or on demand

Auditing

Access whatever they can reach, unchecked

Log every action, cost, and approval to a full audit trail

Internal systems

Can’t connect to systems behind the firewall

Connect to the systems already behind your firewall

Team access

Tied to one person’s laptop

Run for the whole team once published, scoped per user

See xpander in action

How local AI agents become governed agents

Connect Omni where you build

Connect Omni by xpander to wherever you build: Claude Desktop, Claude Code, Codex, or any MCP-compatible client. Omni authenticates as you and reads your local setup.

Ask it to deploy what you built

Omni reads the skills, instructions, and agent setup you wrote locally and redeploys them on xpander, including skills, tools, connections, and the agent itself, ready to run in the cloud.

skills

constructs

It comes up governed

Named identity, per-skill approval gates, credentials from the vault, budgets, and a full audit trail, live from the first run and reachable from every channel your team already uses.

DEPLOYED

Collaborate from anywhere

Work with your agent from wherever you already work: Claude, Slack, Teams, or email. People and agents share one thread.

Start from the tool you’re already using

1
Add Omni from the Claude connector directory: claude.ai/directory/omni-by-xpander
2
Authenticate. Omni acts as you, scoped to your permissions.
3
Send the first message: “Omni, look at the skills and agents in this project and deploy them to xpander.”

Skills written as SKILL.md files can also be uploaded directly. No connector required.

What actually moves

On your desktop, the agent is one opaque setup only its builder can see. Deployed, it unpacks into first-class constructs, each one visible, permissioned, and audited.

ON THE LAPTOP

local agent

ON xpander

MCP servers

LOCAL + REMOTE

Skills

APPROVAL GATE

Organizational connectors

PER-USER

System prompts

VERSIONED

Tests

MOCK DATA

Human in the loop

ENFORCED

Approval flow

IN-THREAD

Model selection

ANY MODEL

Want a walkthrough with your own stack?

Book a demo

Nothing about your workflow changes

The laptop stops being production. You don’t. Keep developing in Claude Desktop or wherever you build, and keep talking to your agent from there too. Deployed agents stay reachable from Claude, ChatGPT, Slack, Teams, email, and the web. The next agent you build takes the same deploy step, and the one after that. The desktop is the dev environment. xpander is prod.

Claude

ChatGPT

Slack

Teams

Web

Questions we hear from IT leaders

Yes. Connect Omni where you build, ask it to deploy what you have, and the agent comes up on xpander (governed, shared, and audited) while you keep developing on the desktop.

Omni reads them and converts them into xpander skill constructs. Each one can carry its own approval gate, credentials, and budget. SKILL.md files can also be uploaded directly.

No. The desktop stays your development environment, and deployed agents remain reachable from Claude, ChatGPT, Slack, Teams, and the web. The agent moves; you don’t.

It’s a deploy step. Migration implies leaving a tool behind. Here the laptop stays where you develop and test; xpander is where the agent runs for the company. If you are looking to move Claude agents to production, this is that step, without giving up the tools you build in.

Any MCP client, such as Claude Desktop, Claude Code, Cursor, ChatGPT and VS Code.

Deterministic human-in-the-loop gates per skill, credentials injected from a vault at runtime, named agent identity with per-user permissions, budgets per task and per agent, and a full audit trail.

Partly. Claude Code, Codex and OpenCode send their model calls through the AI Gateway, under each person’s name and budget. Local skills and other clients’ own model calls stay on the laptop today.

Your team is already running AI agents.
Give them a better place to do it.