AI agents belong in a governed
environment, not on laptops
WORKS FROM
Claude Desktop
Claude Code
Codex
Cursor
OpenClaw
Any MCP client
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.
Ask permission only when the model feels like it
Follow deterministic approval gates, per skill
Run on one vendor’s model
Run on any model behind one shared gateway, no rewrite required
Keep secrets in local config files
Pull credentials from a shared vault at runtime, invisible to the model itself
Stop working when the laptop closes
Run on a schedule, a trigger, or on demand
Access whatever they can reach, unchecked
Log every action, cost, and approval to a full audit trail
Can’t connect to systems behind the firewall
Connect to the systems already behind your firewall
Tied to one person’s laptop
Run for the whole team once published, scoped per user
How local AI agents become governed agents
Powered by Omni, xpander’s built-in AI engineer
01
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.
02
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
03
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
04
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
- 1Add Omni from the Claude connector directory: claude.ai/directory/omni-by-xpander
- 2Authenticate - Omni acts as you, scoped to your permissions.
- 3Send 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
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?
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
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.
