Agency · OpenClaw · Self-hosted AI agent

The OpenClaw agency.Your agent, on a short leash.

OpenClaw is a free, self-hosted agent that reads files, runs shell and chains skills: powerful, and risky raw. As an OpenClaw agency, we stand up the Gateway safely, bound its permissions, wire the skills and MCP servers, and connect it to Slack and Telegram.

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★★★★★Verified Trustpilot reviews · AI, automation & growth agency

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What we do

An OpenClaw agency makes it safe and useful, not just installed.

Cloning the repo, anyone can do. Hosting it without exposing your data, coding skills for your real work, and routing agents so each one stays scoped is a different job. Here are the four pieces we own.

Method · 4 stages

We set up OpenClaw like infrastructure, not a viral toy.

An OpenClaw setup tends to end one of two ways: abandoned, because nobody scoped it to do useful work, or worse, an open Gateway with broad permissions on the internet. We treat it like infrastructure instead: hosted and contained, fenced with guardrails, extended with vetted skills, then handed to a team that can keep a self-hosted agent on a short leash.

  • Audit · map your stack, your channels, and the tasks genuinely worth handing to an agent
  • Setup · onboard, Gateway, workspace and permissions, hosted on your box and safe by default
  • Build · the skills and routed agents for the work that eats your week, scoped and tested
  • Enable · train the team and document the guardrails so the setup holds without us
Walk me through the method
Differentiator · no badge

We run self-hosted agents ourselves.

We don't sell a partner tier. We run self-hosted agents to do real work, so we set OpenClaw up the way it actually works: a contained Gateway, scoped permissions, vetted skills, and approval on the actions that can do damage. That's exactly what's missing when a setup ends at cloning the repo and hoping for the best.

  • We run our own self-hosted agents day to day, so we set OpenClaw up the way it actually works, not the way a viral demo makes it look.
  • Security is the first setting: bounded permissions, gated shell, a Gateway that's never exposed. On a self-hosted agent, broad access is the whole risk.
  • You walk away autonomous: the setup lives in your workspace files and your hosting, so your team owns it without depending on us.
  • OpenClaw isn't always the answer. If a managed assistant or a simpler automation does the job better, we'll say so rather than park an agent you have to babysit.
Show me a typical setup
Boundaries first

What we lock down before OpenClaw works alone.

An agent that reads files, runs shell and chains skills on its own is genuinely useful, and it's also exactly why a sloppy install is a real privacy risk. So the boundaries come first, before the agent does a single useful thing. Here's what we close off.

  • Locked down

    Bounded permissions

    Each agent only reaches what its job needs, and nothing wider. Reading files, running shell, calling an integration: every one of those is granted on purpose, never left open by default the way a raw install leaves them.

  • Locked down

    Gateway off the open internet

    The Gateway is OpenClaw's control surface, so it stays private, behind your own network, never a public endpoint. This is the exact thing security researchers keep finding exposed, and the first thing we close.

  • Locked down

    Approval on the risky actions

    Shell commands, file writes and outbound calls to your real systems wait for a human yes before they run. The repetitive, low-stakes work goes on autopilot; anything that can do damage pauses for a person.

  • Locked down

    An audit log you can actually read

    Every action the agent takes is written down, so you can see what it did and why, after the fact. When an agent works on its own, a trail you can check is what turns trust into something you can verify.

  • Locked down

    Skills vetted before they run

    Nothing from the ClawHub registry runs until we have read what it can touch. Community skills are handy, but a skill you install blind is a skill you handed the keys to. We audit first, then clawhub install.

  • Locked down

    Agents sealed off from each other

    Multi-agent routing gives each persona its own SOUL.md, auth profiles and session store, so the one reading your calendar never inherits the rights of the one cleared for shell. A leak in one stays in one.

Free audit · 60 minutes

We map where an agent fits, you leave with a plan.

Before quoting anything, we take 60 minutes to look at your stack, your channels and your security posture. You leave with an honest read on whether a self-hosted OpenClaw agent fits, what to set up first, and what guardrails you need. Zero pitch, just a frank take on your workflow.

  • An honest read on whether OpenClaw fits your case
  • The self-host and guardrails to wire first
  • The skills and agents worth building
  • A ballpark on cost (from $2,000) and a realistic timeline
  • A frank take on when a managed tool is the saner call

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Our approach

How we run an OpenClaw setup.

Five steps, in order. We don't let an agent touch your systems before the permissions are scoped, we don't ship a skill without checking what it can do, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.

  1. Step 1 · Fit & security audit

    Map what's worth handing to an agent

    We sit with your team and list the real tasks: the repetitive triage, the messages answered the same way every time, the workflows nobody wants to own. We go through your stack, your channels and your security posture. Half the value of an OpenClaw agency is telling you where a self-hosted agent adds something and where a managed tool or plain automation stays the saner call. No agent thrown at a problem it won't fix.

  2. Step 2 · Safe hosting

    Stand it up so it's yours and stays contained

    We run openclaw onboard, stand up the Gateway on your own hosting, set the workspace and agentDir, and pick the LLM backend that fits. Then we bound permissions and gate the risky actions (shell, file writes, integrations) behind approval, with the Gateway kept off the open internet. Someone on your side signs off on the guardrails before the agent touches a single real system.

  3. Step 3 · Build skills & agents

    Skills for the work that eats your week

    We pick vetted skills from the ClawHub registry and code the custom ones your work needs, then split them across routed agents so each persona holds only the tools and permissions that concern it. The agent drafting in Slack isn't the one cleared for shell. The repetitive 80% goes on autopilot; the calls that need judgment stay with a human.

  4. Step 4 · Integrate

    Wire it into your channels and tools

    We wire OpenClaw into the channels your team already uses, one scoped bot per agent, and connect the MCP servers it needs to reach your real systems. openclaw mcp serve lets you drive routed conversations from Claude over a WebSocket bridge. Every piece ships with its permissions and logging from day one, so you see what the agent did, and why.

  5. Step 5 · Enable & hand over

    Train the team, then get out of the way

    We train your team on the workflow that holds up: scope first, keep a human on the risky actions, watch the logs. Guardrails and skills are documented in your workspace files, so the setup survives a new hire. Want to go deeper? Our AI agency work covers agents end to end. Want us on call for what scales next? We talk about that separately.

Proof · what the teams say

We're judged on the agent that ships.

No partner badge to display, so we lead with what matters: feedback from the teams whose OpenClaw setup we ran, and whether the agent kept doing useful work safely after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.

  • The setup lives in your workspace files and infra, owned by your team
  • Permissions scoped and the Gateway contained before anything runs
  • Skills vetted, agents routed, dangerous actions gated behind approval
  • Trustpilot reviews come from the teams we set it up for
Talk to the team
FAQ · OpenClaw agency 2026

The questions we get asked on repeat.

  • What does an OpenClaw agency actually do?
    An OpenClaw agency sets up the self-hosted assistant so it's safe and useful, instead of leaving you with an open Gateway nobody locked down. We run openclaw onboard, stand up the Gateway on your hosting, bound permissions, pick the LLM backend, wire the skills and MCP servers, connect your channels, and break work across routed agents. The aim is an agent that handles real tasks with the guardrails intact, not a viral repo you cloned once and walked away from.
  • Do we need an OpenClaw agency or a consultant?
    It depends on scope. An OpenClaw consultant helps you frame the idea and get started, often solo. An agency takes the whole chain: audit, hosting, custom skills, multi-agent routing, connecting your channels and MCP servers, then handover to your team. The tipping point is the number of personas and the security bar. One agent for one simple task? A consultant may be enough. Several agents with different access and a Gateway to keep off the internet? Agency-level support holds up better over time.
  • Is OpenClaw safe to self-host?
    It can be, but safe is a state you build, not a box the install ticks for you. Out of the box OpenClaw wants broad reach, files, shell, outbound calls, and security researchers keep finding instances left exposed on the open internet, which is where the real privacy risk lives. So we work boundaries first: we fence what each agent can touch, hold shell, file writes and integrations behind a human approval, keep the Gateway private, and leave you an audit trail to check. The useful work happens inside that fence, never around it.
  • What do you need to run OpenClaw, and where does it get hosted?
    OpenClaw self-hosts, so it runs on hardware you control, your own server or a VPS, rather than a third-party cloud, and that's its privacy edge. A modest Linux box handles a scoped setup fine; the heavier requirement is usually the LLM backend, and that depends on whether you call a hosted model (Claude, GPT, Gemini) or run a local one through Ollama, which does want real RAM and ideally a GPU. We stand up the Gateway on your hosting, keep it off the public internet, and your team can run it in-house after handover.
  • How much does an OpenClaw setup cost?
    The software itself is free and open source, so what you pay for is the work, and that starts from $2,000. A contained self-host with two or three skills sits at the low end; coding custom skills, routing several agents and wiring your channels and MCP servers climbs from there. We skip the flat package thrown out blind, because the right scope hinges on what you actually want the agent doing. You get a precise, fixed quote after a free 60-minute audit, and you pay your own LLM provider directly on top.
  • What is openclaw mcp serve and do we need it?
    openclaw mcp serve turns your OpenClaw instance into a Model Context Protocol server, which in plain terms means you can drive its routed conversations from an outside client like Claude over a WebSocket bridge, instead of only talking to it through a chat channel. It's handy when you want your agents reachable from the tools you already work in. Whether you need it depends on your setup: for a single agent answering in Slack, probably not; for a stack of agents you want to steer from elsewhere, it earns its place. We turn it on and scope it when it fits.
  • Can you connect OpenClaw to Slack, Teams, Home Assistant and our tools?
    Yes, that's where it earns its place. OpenClaw connects to the channels your team already uses, Slack, Microsoft Teams, Telegram, Discord, WhatsApp and Signal, with one scoped bot per agent. For your tools and data, from a CRM to Airtable to a Home Assistant setup, we wire the MCP servers it needs to reach your real systems, plus custom skills for the ones without a ready connector. The goal is an agent that plugs into your stack, not a silo your team forgets a week after launch.
  • What can OpenClaw skills do, and where do they come from?
    Skills are how OpenClaw does real work: read and write files, run shell, drive a browser to scrape a page, schedule cron jobs, and chain those steps together. There's a large ClawHub registry of community skills, and you install them with clawhub. We audit each one rather than trusting every community skill blindly, and we code the custom skills your work needs when the registry comes up short. Each skill stays scoped to the agent that should have it, nothing more.
  • What is multi-agent routing and do we need it?
    Multi-agent routing lets you run several OpenClaw agents, each with its own workspace (SOUL.md, AGENTS.md), auth profiles, model registry and session store under its own agentDir. It's about security as much as scale: the agent reading your calendar doesn't inherit the rights of the one running shell. Whether you need it depends on the work. One simple task? A single agent is enough. Several personas with different access? Routing keeps them sealed off. We set up what matches your case.
  • How long does an OpenClaw setup take?
    For a scoped setup (hosting, Gateway, permissions, a first set of skills and one channel), count 2 to 4 weeks: audit and safe hosting first, then skills and integrations. Coding custom skills, routing several agents and wiring multiple channels and MCP servers runs longer, closer to a couple of months. We split it into batches so you get a useful, contained agent fast, rather than waiting on a big rollout before anyone sends it a single message.
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Set up OpenClaw

Stop cloning the repo and hoping. Set it up right.

A 60-minute audit, an honest read on whether a self-hosted agent fits, a setup plan with the guardrails baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.

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