How to Set Up OpenClaw for a Team: Complete Guide (2026)
OpenClaw does not have built-in multi-user support. It is a single-user, personal AI agent by design. The three ways to share an OpenClaw agent with your team are: (1) use channel integrations like Slack or Discord as the sharing layer, (2) run separate instances per user, or (3) use a managed platform with RBAC like KiwiClaw Enterprise. Each approach has very different trade-offs in terms of cost, permissions, auditability, and setup effort.
This is the most common question we hear from teams that discover OpenClaw. Someone sees the demo -- an AI agent that can browse the web, execute code, automate workflows, and connect to Slack -- and immediately thinks, "My whole team should use this." Then they look at the documentation and realize: there is no concept of user accounts, no permissions system, no role-based access, and no way to share an agent across people without workarounds.
This guide covers every approach to making OpenClaw work for teams, with honest assessments of what each one actually involves, what it costs, and who it is best suited for.
The Problem: OpenClaw Is Single-User by Design
OpenClaw was built as a personal AI agent. One agent, one user. This is not a limitation -- it is a deliberate design choice. The agent has full access to your configured tools, API keys, browser, and sandbox. There are no user accounts, no login screen, no concept of "who is asking." Everyone who can reach the agent has the same full-access permissions.
This works perfectly for individual users. It becomes a problem the moment you want more than one person to use the agent, because:
- No permissions. Anyone who can access the agent can change its configuration, install skills, access API keys, and read all conversation history. There is no way to give someone "chat only" access. See our RBAC glossary entry for why this matters.
- No identity. The agent does not know who is talking to it. In a shared Slack channel, all messages look the same to the agent. There is no per-user context or conversation isolation.
- No audit trail. There is no structured log of who did what, when, and what happened. For regulated industries, this is a dealbreaker.
- No usage attribution. If five people are using the same agent, you cannot tell who consumed how many tokens or triggered which actions.
These gaps do not matter for personal use. They are critical for teams. Here are the three approaches to working around them, from simplest to most complete.
Approach 1: Channel Integrations as the Sharing Layer
How it works
OpenClaw supports channel integrations with Slack, Discord, Telegram, WhatsApp, and Microsoft Teams. You connect your agent to a shared channel, and everyone in that channel can interact with the agent by messaging it. The channel becomes the collaboration layer -- team members message the agent, see each other's requests, and can build on previous conversations.
Setup is straightforward. You configure the channel integration in your OpenClaw instance (or through a managed platform's OAuth wizard), invite the bot to your team channel, and start messaging. The agent responds in-channel where everyone can see the interaction.
What this looks like in practice
A marketing team connects OpenClaw to their #ai-assistant Slack channel. Anyone on the team can ask the agent to research competitors, draft social posts, analyze website traffic, or generate content calendars. All requests and responses are visible to the whole channel. The agent maintains conversation context within the channel, so follow-up questions work naturally.
Pros
- Free and simple. Channel integrations are built into OpenClaw. No additional software, no extra cost, no complex configuration.
- Familiar interface. Your team already uses Slack or Discord. No new tool to learn.
- Natural collaboration. Everyone sees what the agent is working on. Team members can build on each other's requests.
- Quick to set up. 10-15 minutes to connect a channel and start using it.
Cons
- No permissions. Everyone in the channel has equal access. An intern can change the agent's configuration just as easily as the CTO. There is no way to restrict what different users can do.
- No private conversations. Everything is visible in the shared channel. If someone needs to work on something confidential, the whole team sees it.
- No audit trail. Slack's message history provides a rough record, but it is not a structured audit log. You cannot answer "which user triggered which agent action and what was the result" without manually reading through messages.
- Single agent bottleneck. One agent handles all requests sequentially. If five people ask for something at the same time, they queue up. Heavy usage from one person delays everyone else.
- No usage attribution. You cannot track which team member consumed how many tokens or generated how much cost.
- Context pollution. Everyone's conversations share the same agent context. A research task from one person can influence the agent's responses to another person.
Best for
Small teams (2-5 people) with low usage, no compliance requirements, and a culture of transparency. Good for trying out OpenClaw with your team before committing to a more structured setup.
Approach 2: Separate Instances Per User
How it works
You run a separate OpenClaw instance for each team member. Each person gets their own agent with their own configuration, conversation history, and installed skills. Instances are completely isolated -- one person's agent cannot see or interact with another person's agent.
On a self-hosted setup, this means running multiple Docker containers. On managed platforms, each user gets their own machine. Each instance needs its own LLM API keys (or managed access) and its own channel integrations.
What this looks like in practice
A five-person engineering team deploys five separate OpenClaw instances. Each developer has their own agent, configured for their specific workflow -- one focused on code review, another on documentation, another on testing. Each instance runs independently with its own API keys and conversation history.
Pros
- Full isolation. Each user's data, conversations, and configuration are completely separate. No context pollution, no shared state.
- Individual customization. Each team member can configure their agent differently -- different skills, different models, different channel integrations.
- No bottleneck. Agents run independently. One person's heavy usage does not affect another person's agent.
- Simple mental model. Each person "owns" their agent. There is no shared state to manage.
Cons
- Expensive. Cost scales linearly with team size. Five instances on self-hosted infrastructure means five VPS instances ($50-250/month in infrastructure alone). Five instances on a managed platform means five subscriptions. On KiwiClaw Standard, that is $195/month ($39 x 5). On OpenClaw Cloud, $200-450/month.
- No shared context. Agents cannot collaborate. If one person's agent researches a topic, that knowledge is not available to other agents. There is no shared memory or knowledge base.
- Management burden. Someone has to provision, configure, and maintain multiple instances. Skills need to be installed on each instance separately. Configuration changes need to be applied to each instance individually.
- No centralized administration. There is no single dashboard to manage all instances. No way to enforce policies, audit activity, or manage permissions across the team from one place.
- API key sprawl. With BYOK, each instance needs its own API keys. Managing keys across multiple instances increases the surface area for leaked credentials.
Best for
Teams where each member has distinct workflows and does not need to share agent context. Engineering teams where each developer wants a personalized coding assistant. Organizations that need strict data isolation between users.
Approach 3: Managed Hosting with RBAC
How it works
A managed platform adds a team management layer on top of OpenClaw. Instead of one agent per person, the platform manages agent access centrally with user accounts, role-based access control (RBAC), audit logs, and shared administration. Users sign in with their own credentials, interact with agents based on their assigned role, and all activity is logged for compliance.
KiwiClaw Enterprise is the only OpenClaw hosting platform that provides this. The Enterprise plan includes multi-seat access, configurable roles, centralized skill management, audit logs, and a single administrative dashboard for the entire team.
What this looks like in practice
A 15-person marketing agency deploys KiwiClaw Enterprise. The agency owner is the Admin with full control. Account managers are Members who can use agents and view results but cannot change configuration or install skills. Junior staff are Viewers who can read agent transcripts and outputs but cannot interact directly. All activity is logged with timestamps, user IDs, and action details. The Admin manages skills, model access, and usage caps from a single dashboard.
Roles in KiwiClaw Enterprise
- Admin -- Full control. Can create and configure agents, install and remove skills, manage team members, set usage caps, view audit logs, and change billing. Typically the team lead, CTO, or account owner.
- Member -- Can use agents, send messages, trigger tasks, and view their own conversation history. Cannot change agent configuration, install skills, or access other users' conversations. The standard role for most team members.
- Viewer -- Read-only access. Can view agent transcripts, task outputs, and reports but cannot interact with agents or change anything. Useful for stakeholders, compliance officers, or managers who need visibility without access.
Pros
- Real permissions. Different team members have different access levels. An intern cannot change agent configuration. A compliance officer can review all activity without being able to modify anything.
- Audit trail. Every interaction is logged with user identity, timestamp, action type, and result. This is essential for regulated industries (fintech, healthcare, legal) where you need to demonstrate who did what and when.
- Centralized management. One dashboard to manage all agents, users, skills, and settings. Configuration changes apply across the team. Skills are installed once and available to all agents.
- Shared skills with vetting. KiwiClaw's vetted skills marketplace means the Admin can install approved skills for the whole team without worrying about the 341+ malicious skills found in the OpenClaw ecosystem.
- Cost efficiency. Multi-seat pricing is more efficient than separate instances. Enterprise pricing scales per seat rather than per full instance.
- Compliance-ready. SOC2, HIPAA, and GDPR compliance features including data residency choices, DPA, and audit exports. See our security page for details.
Cons
- Enterprise pricing. Custom pricing means you need to contact sales. Not ideal for tiny teams or individuals.
- Platform dependency. You are relying on a managed platform for team features that do not exist in OpenClaw itself. If you leave the platform, you lose RBAC, audit logs, and centralized management.
- Only available on KiwiClaw. No other OpenClaw hosting provider offers RBAC and multi-seat access as of March 2026. This is a single-vendor feature.
Best for
Teams of 5+ people, especially in regulated industries. Agencies managing multiple clients. Organizations that need audit trails for compliance. Any team where different members should have different levels of access to the AI agent.
Comparison: Three Approaches Side by Side
| Feature | Channel Sharing | Separate Instances | Managed RBAC |
|---|---|---|---|
| Setup time | 10-15 min | 30 min - 2 hrs per user | 30 min (all users) |
| Cost (5 users) | $15-39/mo (one instance) | $75-195/mo (five instances) | Custom (Enterprise) |
| Permissions / RBAC | None | Full isolation (no sharing) | Admin / Member / Viewer |
| Audit trail | Slack/Discord history only | Per-instance logs | Centralized, per-user |
| Shared context | Yes (same channel) | No (fully isolated) | Configurable |
| Skill management | Manual, anyone can install | Manual, per instance | Centralized, Admin only |
| Usage tracking | Aggregate only | Per instance | Per user |
| Scaling to 20+ users | Poor (bottleneck) | Expensive | Designed for it |
| Compliance (SOC2, HIPAA) | No | No | Yes (Enterprise) |
Step-by-Step: Setting Up Each Approach
Channel sharing setup (Slack example)
- Deploy an OpenClaw instance (self-hosted or any managed platform).
- In OpenClaw settings, navigate to Channels and select Slack.
- Create a Slack app in your workspace with the required bot scopes (
chat:write,app_mentions:read,channels:history). - Configure the Slack bot token and signing secret in your OpenClaw instance.
- Create a dedicated channel (e.g., #ai-assistant) and invite the bot.
- Team members message the bot in-channel or via @mention to interact.
On managed platforms like KiwiClaw, steps 2-4 are replaced by an OAuth wizard that handles authentication in two clicks. See our Slack bot setup guide for full details.
Separate instances setup
- Decide on your hosting approach (self-hosted, LobsterTank, OpenClaw Cloud, or KiwiClaw).
- Provision one instance per team member.
- Configure API keys for each instance (or use managed LLM access).
- Set up channel integrations for each instance if needed (each goes to a separate DM or channel).
- Document which instance belongs to which team member.
- Establish a process for applying configuration changes and skill installations across all instances.
KiwiClaw Enterprise setup
- Sign up at app.kiwiclaw.app and select the Enterprise plan (or contact sales).
- Create your organization and configure base settings (model preferences, default skills, usage caps).
- Invite team members by email. Assign roles (Admin, Member, or Viewer) during invitation.
- Install and approve skills from the vetted marketplace. Skills are available to all Members automatically.
- Configure channel integrations via OAuth wizards. Channels can be shared or per-user.
- Agents are live. Team members sign in with their own credentials and see the dashboard based on their role.
Which Approach Should You Choose?
Start with channel sharing if you are a small team exploring OpenClaw, you do not need permissions or compliance, and you want to see if an AI agent adds value before investing in a more structured setup. It costs nothing extra and takes minutes.
Use separate instances if each team member has very different workflows, you need strict data isolation between users, or you are a team of developers who each want a personalized agent. Accept the higher cost and management overhead as the trade-off for full isolation.
Use managed RBAC (KiwiClaw Enterprise) if you need real permissions, audit trails, or compliance features. If you are in a regulated industry, manage a team of more than five people, or need to answer "who did what with the agent," this is the only option that provides those capabilities without building them yourself. Contact hi@kiwiclaw.app for Enterprise pricing.
Frequently Asked Questions
Does OpenClaw support multiple users?
No. OpenClaw is a single-user, personal AI agent. It has no concept of user accounts, permissions, or access control. To share an agent with a team, use channel integrations as the sharing layer, run separate instances per user, or use a managed platform like KiwiClaw Enterprise that adds RBAC on top of OpenClaw.
How many people can use one OpenClaw instance?
Technically, any number of people can interact with a single OpenClaw agent through shared channels like Slack or Discord. However, there is no concept of user identity within the agent -- everyone has equal access, conversations share context, and there is no audit trail of who did what. For anything beyond casual use by 2-3 people, you need either separate instances or a platform with team features.
What is the best way to deploy OpenClaw for a team of 5-10 people?
For basic shared access, connect OpenClaw to a Slack or Discord channel. For per-user isolation, run separate instances (at $15-39 each on a managed platform). For real team features with permissions, audit logs, and centralized management, use KiwiClaw Enterprise which provides multi-seat access with RBAC from a single dashboard.
Can I set permissions so some users can only chat but not change settings?
Not with stock OpenClaw. The open-source agent has no permissions system. Role-based access control is only available through managed platforms that add a permissions layer on top. KiwiClaw Enterprise supports Admin (full control), Member (use agent, cannot change config), and Viewer (read-only access to transcripts) roles.
Is there an audit log for OpenClaw agent activity?
Stock OpenClaw logs agent activity internally but does not provide a structured audit trail with user identity. For regulated industries requiring audit trails, KiwiClaw Enterprise provides timestamped audit logs of all agent interactions, configuration changes, and administrative actions, exportable for compliance reporting.
Written by Amogh Reddy
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