Kanvas is the operating intelligence your business runs on — a managed AI operations service that connects your tools, teams, capital, and AI agents around the goals that matter, so the work moves in the same direction.

How does Kanvas work with my existing tools?

Kanvas connects to the tools you already use. We map where work is getting stuck, set up the AI workers and guardrails, and run it for you — no rip-and-replace and nothing for you to build.

Do I have to build anything?

No. Kanvas is a managed service. We handle diagnosis, configuration, go-live, and continuous operation. You stay in charge of the business while we do the building and running.

How is Kanvas priced?

Kanvas is custom-built to each business. We scope every engagement to your operations and goals across three layers — setting up the intelligence layer (unifying your knowledge base, connecting tools, and establishing the operational framework), building the capacity layer (deploying AI agents that drive your key processes), and running the outcome layer (measuring that the intended results are delivered while surfacing improvement and expansion opportunities each iteration). Pricing is tailored to that scope — no per-seat or per-task metering.

May 25, 2026Blog3 min read

Welcome Hermes to Kanvas

kaiokenEngineering & operations

Over the years, one of the biggest lessons I’ve learned in technology is understanding when to go all-in on a framework; when to pivot quickly; and wh...

Over the years, one of the biggest lessons I’ve learned in technology is understanding when to go all-in on a framework; when to pivot quickly; and when to experiment broadly.

I’ve been burned before by committing too early to a single stack. In fast-moving environments; especially in AI; things evolve weekly. There usually isn’t one clear winner. Different systems solve different problems well.

That’s the philosophy we’ve adopted for the Kanvas Agent System.

Instead of locking ourselves into a single framework, we decided to integrate, deploy, and test multiple agent systems directly in production. We want to understand how each performs under real operational pressure; with real customers, workflows, and business requirements.

One of the clearest examples of this approach is Hermes.

We first started hearing about Hermes back in March, but it really caught our attention this month during a rough period in the agent ecosystem; especially after the issues highlighted in the OpenClaw rough week post.

At the time, we were already running production agents for customers using OpenClaw. But after upgrading to some of the latest versions, we started experiencing major stability issues:

agents failing unexpectedly
cron jobs not executing
degraded reliability
memory inconsistencies
operational instability in production

We moved quickly.

Since the ecosystem itself was shifting toward Hermes, we decided to test it seriously. But we had a challenge; we already had production agents running with operational history, memory, workflows, and customer context. Starting over wasn’t an option.

So we expanded Kanvas itself.

We added migration tooling, backup systems, compatibility layers, and recovery workflows to allow agents to move between ecosystems without losing their operational context.

What happened next surprised us.

The Hermes agents immediately felt calmer and more stable in production. Setup was simpler, memory handling improved, and operational reliability was significantly better for specific agent roles like:

project managers
sales agents
operations assistants
PM coordinators

Does this mean we’re abandoning OpenClaw? Absolutely not.

We still run assistants, QA agents, and several experimental workflows on OpenClaw today. OpenClaw continues to push the ecosystem forward in important ways.

What this experience reinforced is something we already believed:

There will not be one single winning framework for AI agents.

Different systems will evolve in different directions. Some will be better for autonomy, some for orchestration, some for coding, some for reliability, and some for enterprise deployment.

That’s exactly why Kanvas exists.

Kanvas acts as the operational nervous system across all of them.

Today, the Kanvas ecosystem supports and experiments with:

OpenClaw
Hermes
Laravel AI
Neuron AI
Google ADK

Our goal isn’t framework loyalty.

Our goal is operational execution.

Because AI agents only become truly valuable when they can connect to systems, preserve operational memory, improve over time, and reliably execute work for real businesses.

That’s the role Kanvas plays.

The nervous system behind the agents.

Stay updated