OpenClaw is the open-source personal AI agent framework that runs locally with 50+ integrations. We deploy it, build custom skills, wire it into your stack, and keep it running. Implementation partner, not the framework authors.
Trusted by teams shipping production software
We’re a senior engineering team that deploys OpenClaw into real businesses. We stand up the runtime (locally, on shared infra, or hybrid), build the custom skills your workflows need, wire it into Gmail, Slack, Zendesk, your CRM and your data, and stay on to keep it healthy. Credit where it’s due: OpenClaw is the work of Peter Steinberger and the community — we’re the team you hire to make it work in your environment.
It works on a laptop.
OpenClaw installs in ten minutes for one developer. That demo is nothing like running it across a team, integrated with your systems.
It doesn't know your stack.
Out of the box OpenClaw can't see your CRM, your helpdesk, or your data warehouse. The skills that matter to you don't exist yet.
Powerful access cuts both ways.
File-system and shell access make OpenClaw capable — and dangerous in production without permission review, audit logging, and someone watching it.
The full lifecycle: from initial deployment through custom skill development to ongoing ops. We don't hand you an install script and walk away.
- 01
Deployment + infrastructure
Local install per user, shared deployment on your infra, or hybrid. We pick the topology that fits your team and security model.
- 02
Multi-channel access
WhatsApp, Telegram, Discord, Slack, Signal, iMessage, email — wherever your team already lives. We wire up the channels that make sense.
- 03
Custom skills
We write the skills OpenClaw doesn't ship out of the box: bespoke integrations to your CRM, internal tools, knowledge base, ticketing system, or anything with an API.
- 04
ClawHub setup
We curate the right ClawHub community skills for your use case, install and configure them, and replace where the community version doesn't fit.
- 05
Memory + persistent context
OpenClaw has persistent memory by default — we configure it for your use case, define what gets remembered, and set retention/redaction policies.
- 06
Heartbeats + scheduling
Configure the autonomous side: cron-style schedules, proactive outreach, background tasks. Used for daily briefings, monitoring, and follow-ups.
- 07
Security + access control
Review tool permissions, file-system scope, network egress, credential management. OpenClaw has powerful file/shell access — production deploy needs guardrails.
- 08
Audit + observability
Log every action the agent takes, with replayable traces. Compliance teams need this; ops teams want it.
- 09
Training + ongoing ops
We train your team on how to actually use OpenClaw in their day-to-day, then stay on to fix things, ship new skills, and keep the system upgraded.
Same structure every time. Predictable timelines, no surprises.
Discover the use case
1 week. We map the workflows you want OpenClaw to own. Which channels, which integrations, which skills, where humans stay in the loop.
Deploy + base config
1–2 weeks. Install runtime, configure channels, wire up base ClawHub skills, set up memory and security policies.
Build custom skills
2–4 weeks. We write the skills that connect OpenClaw to your specific systems — CRM, helpdesk, knowledge base, internal APIs.
Pilot + harden
1–2 weeks. Real users run it for a week. We fix what the pilot exposes, tune memory and heartbeats, add audit logging.
Roll out + run
Ongoing. Training, rollout, ongoing ops retainer. We stay on to ship new skills and keep the system healthy.
The runtime, channels, models, and tooling we lean on when we deploy OpenClaw into a real team.
- OCOpenClaw CLIAgent runtime
- ⌘Companion menubar (macOS)Desktop client
- vDev / stable channelsRelease tracks
- WAWhatsAppMessaging
- TGTelegramMessaging
- DCDiscordMessaging
- SLSlackMessaging
- SgSignalMessaging
- iMiMessageMessaging
- @EmailMessaging
- Anthropic ClaudeReasoning model
- OpenAI GPTReasoning model
- Local modelsSelf-hosted LLM
- TSTypeScript / Node.jsLanguage
- pnpnpm workspacesMonorepo tooling
- MCPCustom MCP toolsTool protocol
- LLocal-firstTopology
- SvShared serverTopology
- DkDockerContainers
- HyHybrid topologiesTopology
- {}Action logsLogging
- ▷Replay tracesTracing
- $Cost trackingSpend control
“Futur Labs shipped in six weeks what our internal team couldn't in eighteen months.”
Deploy
Deploy OpenClaw for your team. Channels wired up, base ClawHub skills configured, security and memory policies set. No custom skills.
- Runtime deploy
- 3–5 channels configured
- Curated ClawHub skills
- Security + audit setup
- Team training
Arlo
Our own product. An MCP connector that lets Claude query 100+ analytics platforms in natural language. The same custom-skill, tool-access pattern we wire into OpenClaw for clients.
Agency ERP
Agents embedded in our own ERP for client triage, scope review, and status reporting — built on the integrate-into-real-systems approach we bring to every OpenClaw deployment.
OpenClaw is an open-source personal AI assistant framework created by Peter Steinberger. It runs locally, has 50+ pre-built integrations (Gmail, GitHub, Slack, WhatsApp, Telegram, Discord, Spotify, Obsidian, and more), persistent memory, browser automation, file system access, and a community skill marketplace called ClawHub. Think of it as a self-hosted, hackable, privacy-first alternative to consumer AI assistants — but with real tool access.
No. OpenClaw is built by Peter Steinberger and the OpenClaw community. We're an implementation partner — the team that deploys, customizes, and integrates OpenClaw for businesses and teams that don't want to figure out the setup, custom skills, and infrastructure on their own.
If you're a developer who wants OpenClaw for personal use, you can install it in 10 minutes. That's not what we do. We're for teams who want OpenClaw deployed across an organization — with custom skills wired into your business systems (your CRM, your helpdesk, your data warehouse), shared infrastructure, security review, audit logging, and ongoing operations.
Anything that has an API. We've thought about and scoped skills for: ticket triage from Zendesk/Intercom, lead enrichment from your CRM, internal knowledge retrieval, calendar negotiation, expense classification, status reports across project tools, automated PR review against your codebase, customer-success outreach. ClawHub has 50+ skills to start from — we extend or replace as needed.
Both are open-source autonomous AI agent frameworks. OpenClaw leans personal-assistant and integration-rich (50+ pre-built integrations, multi-channel communication, ClawHub community marketplace). Hermes Agent is more developer-oriented with stronger sandboxing (5 backends: local, Docker, SSH, Singularity, Modal) and subagent delegation. We help clients pick — see our comparison page for details.
Often, yes — and it's actually a strong fit for compliance-sensitive teams because OpenClaw is local-first by design. Your context and skills live on your machines, not in a vendor's cloud. We've thought through deploying it for teams with strict data residency, HIPAA-adjacent constraints, and air-gapped requirements. We'll size up your constraints in discovery.
A few questions about the project so we come prepared — then we'll set up a short call to dig in.