workspace.teamat.ai
LiveCloud Agent OS Workspace
running24/7
Uptime
6
Channels
5
Agents Live
Memory
Persistent Context Enabled
Tool Layer
Browser + Code + Connectors
Active Team Workflow
Cloud Agent OS
Your AI Team Runs on a Cloud Agent OS
A powerful, stable, and scalable Cloud Agent OS is the foundation for your AI team to work securely and reliably, 24/7.
01
Why Cloud Agent OS
team@ai is not just a local runtime for getting agents to run. It is a Cloud Agent OS built for always-on execution, long-term continuity, and real AI team operations. Compared with locally installed claw products, it provides a more complete cloud operating layer for secure, stable, and low-maintenance agent work.
Personal device
Stay focused on your own work
Calls, docs, messages, and browsing continue normally.
CPU free
Battery safe
No slowdown
Cloud runtime
The AI team keeps moving in the background
Delegated tasks continue off-device, even while you close your laptop.
02
Persistent Workspaces
team@ai gives your AI Team more than disposable sessions. It provides a persistent cloud workspace where context, files, memory, task state, and outputs can be retained over time and resumed when needed, so work can truly continue.
24/7 cloud foundation
Always online
The workspace stays reachable over time.
Long-running support
Built for workloads that outlive one local session.
Cloud regions
US EastActive
EU WestActive
APACReady
03
Tools
team@ai treats tools as native execution capabilities of the Cloud Agent OS, not as scattered add-ons. From web access and file handling to code execution and connected business systems, these capabilities run inside one unified cloud workspace and support more complete agent workflows.
Browser workflow
Search the web
Find live pages and relevant sources.
Extract what matters
Capture the structured information the task needs.
Execute web tasks
Keep the result inside the same workspace flow.
Example timeline
1. Search target sources
2. Extract structured evidence
3. Feed results back into the task
04
Skills
If tools are the native capability layer, then skills are the extension and ecosystem layer of the Cloud Agent OS. team@ai turns repeatable methods, workflows, and domain expertise into installable, reusable, composable, and distributable skills, creating a skill marketplace and a broader agent ecosystem.
Skill packages
Research briefing skill
Structured QA skill
Market summary skill
Why installable matters
Workflow logic becomes reusable
Methods can be rolled out consistently
Expertise can move between teams
Build on Cloud Agent OS
Run your AI team on a cloud layer built for real continuity
team@ai combines runtime, persistent workspaces, native tools, and a reusable skill ecosystem into one Cloud Agent OS. That is the difference between isolated agent sessions and actual AI team operations.