The OpenClaw agency.Your agent, locked down.
OpenClaw is a free, self-hosted agent that can read files, run shell commands and chain skills, which is powerful and risky raw. We stand up the Gateway safely, scope its permissions, wire the skills and MCP servers, and connect it to Slack and Telegram.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiAn OpenClaw agency makes it safe and useful, not just installs it.
Anyone can clone the repo. Self-hosting it without exposing your data, building skills for your real work, and routing agents so each one stays scoped is a different job. Here are the four things we own.
- Self-hosting
OpenClaw set up on your own infrastructure
OpenClaw runs on your hardware, not someone else's cloud, and that's the whole point: your data stays yours. We run openclaw onboard the right way, stand up the Gateway, set up the per-agent workspace (SOUL.md, AGENTS.md, USER.md), pick the LLM backend that fits (Claude, GPT, Gemini, or a local model via Ollama), and lock down the agentDir so a self-hosted agent is an asset, not an exposed instance on the open internet.
See a typical setup - Skills & agents
Skills wired to your real workflows, not demos
The leverage is an agent that owns a task end to end, not a chatbot that forgets you when the tab closes. We pick from the ClawHub skills registry, vet what we install with clawhub, and build the custom skills your work actually needs. With multi-agent routing, each persona gets its own scope, session store and tools, so the agent that reads your calendar can't touch the one that runs shell commands.
See the method - Channels & MCP
Connected to Slack, Telegram and your tools
OpenClaw is most useful when it lives where your team already talks. We connect it to the messaging channels you use (Slack, Telegram, Discord, WhatsApp, Signal), one scoped bot per agent, and wire the MCP servers it needs to read your real systems. With openclaw mcp serve you can even drive it from Claude over a WebSocket bridge, so the agent reaches your tools instead of being a silo.
See the integrations - Security & ops
Broad permissions, kept on a short leash
OpenClaw can read files, run shell commands and chain skills without a human checking every step, which is exactly why misconfigured instances have drawn security scrutiny. We scope what each agent can touch, gate the dangerous actions behind approval, keep the Gateway off the open internet, and document the guardrails. We're an automation and AI agency first, so this plugs into how your team already works.
See AI enablement
We set up OpenClaw like infrastructure, not a viral toy.
Most OpenClaw setups go one of two ways: abandoned because nobody scoped it to do useful work, or worse, an exposed Gateway with broad permissions on the open internet. So we treat it like infrastructure: self-hosted and contained, scoped with guardrails, extended with vetted skills, and handed to a team that knows how to keep a self-hosted agent on a short leash.
- Audit · map your stack, your channels, and the tasks worth handing to an agent
- Setup · onboard, Gateway, workspace and permissions, self-hosted 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 stays safe without us
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 self-hosted agents ourselves, so we set OpenClaw up the way it actually works, not the way a viral demo suggests.
- Security-first by default: scoped permissions, gated shell access and a Gateway that isn't exposed, because broad permissions are the whole risk.
- You leave autonomous: the setup lives in your workspace files and your infra, so your team owns it without us.
- OpenClaw isn't always the answer. If a managed assistant or a simpler automation fits better, we'll say so instead of selling you a self-hosted agent you have to babysit.
OpenClaw at the core, your stack and channels around it.
We configure the parts that turn a self-hosted agent into reliable, contained automation, then connect them to where your team already works. Here's what a real setup covers.
- Setup
Onboard & Gateway setup
We run openclaw onboard and stand up the Gateway on your infrastructure, set the workspace and per-agent agentDir, and pick the LLM backend (Claude, GPT, Gemini, Ollama) that fits your budget and privacy needs.
- Setup
Skills from ClawHub
We pick the skills your work needs from the ClawHub registry, vet each one before clawhub install, and write the custom skills the registry doesn't cover, so the agent does your job, not a generic one.
- Setup
Channel connectors
We connect OpenClaw to the messaging channels your team lives in (Slack, Telegram, Discord, WhatsApp, Signal), one scoped bot per agent, so the assistant answers where people already are.
- Setup
MCP servers
We wire the Model Context Protocol servers OpenClaw needs to read your real systems, and set up openclaw mcp serve so you can drive routed conversations from Claude over a WebSocket bridge.
- Setup
Multi-agent routing
We split work across agents, each with its own SOUL.md, auth profiles, model registry and session store, so a persona that runs shell commands stays separate from one that only reads your docs.
- Setup
Guardrails & permissions
We scope every agent's reach, gate shell, file and integration access behind approval, keep the Gateway off the open internet, and document it, so broad permissions stay on a short leash.
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 frank take on when a managed tool is the saner call
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.
- Step 1 · Fit & security audit
Map what's worth handing to an agent
We sit down with your team and look at the real tasks: the repetitive triage, the messages that get answered the same way, the workflows nobody wants to own. We check your stack, your channels and your security posture. Half the value is telling you where a self-hosted OpenClaw agent helps and where a managed tool or plain automation is the saner call, so you don't run an agent against a problem it won't fix.
- Step 2 · Safe self-hosting
Stand it up so it's yours and stays contained
We run openclaw onboard, stand up the Gateway on your infrastructure, set the workspace and agentDir, and pick the LLM backend that fits. Then we scope permissions and gate the dangerous actions (shell, file writes, integrations) behind approval, and keep the Gateway off the open internet. Someone on your side signs off on the guardrails before the agent touches anything real.
- Step 3 · Build skills & agents
Skills for the work that eats the week
We pick vetted skills from the ClawHub registry and build the custom ones your work needs, then split them across routed agents so each persona has only the tools and permissions it should. The agent that drafts replies in Slack isn't the one allowed to run shell commands. The repetitive 80% gets handled; the calls that need judgment still go to a human.
- Step 4 · Integrate
Connect it to 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. With openclaw mcp serve you can drive routed conversations from Claude over a WebSocket bridge. Everything ships with its permissions and logging from day one, so you can see what the agent did and why.
- Step 5 · Enable & hand over
Train the team, then get out of the way
We train your team on the workflow that actually works: scope first, keep a human on the risky actions, watch the logs. The guardrails and skills are documented in your workspace files so the setup survives a new hire. If you want to go deeper, our AI agency work covers agents end to end. If you want us on call for what scales next, we talk about that separately.
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
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 exposed Gateway nobody locked down. We run openclaw onboard, stand up the Gateway on your infrastructure, scope permissions, pick the LLM backend, wire the skills and MCP servers, connect your channels, and split work across routed agents. The point is an agent that handles real tasks with the guardrails intact, not a viral repo you cloned once and abandoned.How much does an OpenClaw setup cost?
OpenClaw is free and open source, so the software costs nothing. What varies is the work: a contained self-host with a couple of skills is nothing like building custom skills, routing several agents and wiring them into your channels and MCP servers. We don't throw out a flat package. We start with a free 60-minute audit to find where a self-hosted agent actually helps, then quote a fixed scope. You pay your own LLM provider (Claude, OpenAI, or run a local model) directly.Is OpenClaw safe to self-host?
Only if it's set up that way, and that's a big part of the job. OpenClaw needs broad permissions to be useful, and cybersecurity researchers have flagged that misconfigured or exposed instances are a real privacy risk. We scope what each agent can touch, gate shell commands, file writes and integrations behind approval, keep the Gateway off the open internet, and document it. We wire the guardrails first, then let the agent do useful work inside them.What can OpenClaw skills do, and where do they come from?
Skills are how OpenClaw does real work: read and write files, run shell commands, drive a browser, schedule cron jobs, and chain steps together. There's a large ClawHub registry of community skills, and you install them with clawhub. We vet what we install rather than trusting every community skill blindly, and we build the custom skills your work needs when the registry doesn't cover it. Each skill is scoped to the agent that should have it, nothing more.Can you connect OpenClaw to Slack, Telegram and our tools?
Yes, that's where it earns its place. OpenClaw connects to the messaging channels your team already uses (Slack, Telegram, Discord, WhatsApp, Signal), with one scoped bot per agent. For your tools and data, we wire the MCP servers it needs to read your real systems, and we can set up openclaw mcp serve so you drive routed conversations from Claude over a WebSocket bridge. The goal is an agent that reaches your stack, not a silo your team forgets.What is multi-agent routing and do we need it?
Multi-agent routing lets you run several agents, each with its own workspace (SOUL.md, AGENTS.md), auth profiles, model registry and session store under its own agentDir. It matters for security as much as scale: the agent that reads your calendar doesn't get the permissions of the one that runs shell commands. Whether you need it depends on the work. For one simple task, a single agent is enough. For several personas with different access, routing keeps them properly separated. We set up what fits.Is OpenClaw always the right tool for us?
No, and we won't pretend otherwise. OpenClaw is a self-hosted agent you have to host, secure and maintain, which is great when data control and customization matter, and overkill when a managed assistant or a plain automation would do the job with less risk. We'll tell you honestly when it's the right fit and when it isn't. If a simpler tool serves you better, we'd rather say so than sell you an agent you have to babysit.How long does an OpenClaw setup take?
For a scoped setup (self-host, Gateway, permissions, a first set of skills and one channel), count 2 to 4 weeks: audit and safe self-hosting first, then the skills and integrations. Building custom skills, routing several agents and wiring multiple channels and MCP servers runs longer. We split it into batches so you get a useful, contained agent fast, rather than waiting on a big rollout before anyone sends a single message to it.
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.