Your agents,
running inside your environment
Run the agents your teams build, from Claude Code and Codex agents to agents Omni builds from a plain-language request, with approvals and a record of every action.
Deploy, connect,
and own every agent
Bring the harnesses your teams already use, give them the company’s systems, and keep the choice of model, harness, and environment.
The best harnesses, approved
What one person runs on a laptop, the whole company runs governed. Same harness, same day.
The agent gets the company
Your systems, your documents, your teams’ skills, each person’s permissions. Authorized once, used by every agent you allow.
Swap anything. Run anywhere.
Any model, frontier or open-weight. Any harness, including your own container. Your VPC, on-premises, or air-gapped.
Same harness on a laptop or in production.
What every agent
gets in the runtime
Agents keep running when the laptop closes, and you can work with them from your code editor.
Off laptops, onto infrastructure you control
Agents keep running when the laptop closes, can be shared with the team, and use company credentials safely.
Each agent gets its own computer
An isolated environment with files, a browser, and a terminal.
Schedules, triggers, and channels
Run agents on a schedule or when something happens, and reach them from Slack, Teams, the API, or MCP.
Approvals and a full record
Sensitive actions wait for a person. Every step is logged.
Built by Omni, or by your team
Describe an agent to Omni and it builds it, or bring agents built with Claude Code, Codex, or OpenCode.
Governed sandboxes
Execution policies on every sandbox, including NVIDIA OpenShell.
Agentic workflows
Workflows made of agents, not brittle nodes
Chain agents into multi-step workflows that run on a schedule or a trigger, inside your environment.
No data mapping
Each step is an agent that understands what the previous step produced, so you connect steps instead of mapping fields between them.
Governed like every agent
The same access rules, budgets, approvals, and record of every step.
Runs where your agents run
Self-deployed in your environment, on schedules, triggers, and events.
Moving from n8n or Make? Teams are bringing their automations onto xpander to run them self-deployed and governed.
Built on a laptop, run by the company
What one person builds and runs on a laptop today, and what the whole company runs on xpander, governed.
One person’s agents, on one machine
Every team’s agents, on one governed runtime
Runs only while the laptop is on
Runs on any cloud, or fully self-hosted
Tied to the framework and model one person set up
Bring your framework and route any model
The agent has whatever access the laptop has
Scoped permissions and approvals on risky steps
Invisible to the rest of the company
Every action audited, with no shadow AI
No spending limit
Spend capped per agent
And the rest,
built in
Versioned deploys
What you tested is what ships.
Knowledge bases
Your documents, retrieval built in.
Per-user memory
Context that persists across runs.
Agentic apps
Publish an agent as a portal or live dashboard.
Your package registry
Builds pull npm and PyPI packages only from your approved registry, such as Nexus or Artifactory.
What teams put on it first
The same governed harnesses, pointed at different work.
Featured solution
AI SRE
An always-on responder: root cause with evidence, fixes gated by a named human.
Engineering & SRE
AppSec scans with fix PRs
PR review and merge gating
Cloud cost investigation
Support
Tier-1 ticket triage
Customer onboarding
Sales & Marketing
Lead enrichment and routing
RFP and security questionnaires
Competitive intel digests
Finance
Invoice intake and approval routing
SaaS spend audit
HR, IT & Compliance
Joiner-mover-leaver lifecycle
HR policy Q&A in Slack
Contract redline against your playbook
Compliance evidence gathering
Featured solution
AI SRE
An always-on responder: root cause with evidence, fixes gated by a named human.
Same platform
What comes next
The rest of the platform
Agents in the runtime use the same gateways for models and tools, and the AI Workspace puts them in front of every employee.
Every step, approved and recorded
Each session records the harness and sandbox it ran in, and every model call, tool call, approval, and file the agent wrote.
