Can a team use OpenClaw?
Yes. OpenClaw runs as a shared deployment as well as a personal one. OpenClaw's documentation says one Gateway runs the assistant on a laptop or as a team deployment, and that configuration is the only difference. Shared has a specific meaning here. OpenClaw's security guide states the model assumes one trusted boundary per gateway, a single operator or a team whose members trust each other, and that the project is not built as a boundary between mutually adversarial users. A trusting team can share one gateway. A company that needs per-person scope and review is asking for a different shape.
What changes when many people share one agent
At personal scale, one machine, one gateway and one configuration file hold the deployment together. That works when the operator and the user are the same person. Add people and those same three things become the bottleneck. One gateway means one set of channels and one set of credentials. One configuration file means every change is a change for everyone. And the memory that makes a personal assistant useful belongs to the operator, while the team wants a shared company memory that each person builds on.
The gaps that appear at team scale
Four gaps open up when a team shares a personal-grade agent. Shared context: the team wants one memory that everyone contributes to, held across people and agents. Per-person permissions: the team wants to scope which person, and which agent, can reach each resource. Audit: the team wants a record of who asked the agent to do what. Review: the team wants a person to read a change before it lands. OpenClaw's permissions documentation shows the controls it does ship, including allowlists, pairing and per-agent tool policy, and notes that restricted runs require human approval. Those controls are real at personal scale; none of them turns one gateway into a multi-tenant boundary.
How Kortix answers each gap
Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers. Each of the four gaps has a mechanism in Kortix:
- Shared context. Company memory and the connectors are files in one repo the team owns, so the context compounds as more people work.
- Per-person permissions. Per-resource permissions for people and agents. Roles, groups, and an audit trail.
- Audit. Every action is recorded. Reading, exporting and streaming the audit log depend on the plan.
- Review. Session work reaches
main through a change request. Merge is default-deny for agents.
Each session runs on its own cloud computer, so many people and many agents work at the same time without colliding. You can run it on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free.
A team still weighing the personal agents can read the comparison table on this page, or the fuller Kortix vs OpenClaw comparison. Teams starting from the whole field can read OpenClaw alternatives, and anyone planning to put it on their own server can follow self-hosting an OpenClaw alternative.