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OpenClaw Alternative

Can a team use OpenClaw? The open-source answer

Yes, a team can run OpenClaw on a shared gateway, and its own documentation puts that deployment inside one trusted boundary. What a team needs past that is shared context, per-person scope and review before work lands. Kortix is open source and built for exactly that.

Kortix and OpenClaw for a shared deployment

Kortix is first because it is built for a team; OpenClaw is built for one trusted boundary.

Open source
Yes
Yes
Multi-user support
Members and agents, per-resource roles
A shared deployment inside one trusted boundary
Permissions model
Per-resource permissions for people and agents
Allowlists, pairing and per-agent tool policy
Where memory lives
Files in the git repo you own
On the shared Gateway's machine
Review before work lands
A person merges a change request
Restricted runs require a person’s approval
Runs where
Kortix Cloud, your VPC, or on-prem
Your machine or a server

Sources: Kortix docs at kortix.com/docs, OpenClaw at docs.openclaw.ai (checked October 2026).

What a team keeps in the repo

Real Kortix project layout and config, from the Kortix docs.

acme-co
acme-co/  agents/       who does the work  skills/       how the company does a job  memory/       what it has learned so far  kortix.yaml   rules, triggers, connectors, machine
Read the docs
kortix.yaml
kortix_version: 2default_agent: kortixagents:  kortix:    file: agents/kortix.md    connectors: all    kortix_permissions: all
Read the docs
terminal
$ kortix projects clone <project_id> my-project$ cd my-project && git checkout -b tighten-triage$ git commit -am "Tighten the triage prompt"$ git push origin tighten-triage$ kortix cr open --head tighten-triage
Read the docs

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.

OpenClaw for teams questions

What a shared deployment does and does not cover.

Q01

Can a team share one OpenClaw?

Yes, a trusted team can. OpenClaw's docs say the same gateway runs as a personal assistant or a shared team deployment with configuration as the only difference, and its security guide puts that inside one trusted boundary. It works when members trust each other; it does not separate people who do not.

Q02

How does OpenClaw handle permissions for a team?

OpenClaw ships allowlists, DM pairing, mention gates and per-agent tool policy, and restricted runs require human approval. Those controls scope what tools an agent may use. The project's own security guide states it is not built as a boundary between mutually adversarial users, so per-person scope and a company-wide audit are left to you.

Q03

How does Kortix handle a team's memory and review?

In Kortix, company memory and connectors are files in one git repo the team owns, and per-resource permissions scope which person and which agent can reach what. Session work reaches main through a change request, and merge is default-deny for agents, so a person approves what lands. Self-host is free.

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Give the whole team one governed agent repo

Self-host for free, or start on Kortix Cloud.

Open source · Any model, your keys · Self-host, VPC, or on-prem